Sign in to view Neha’s full profile Neha can introduce you to 10+ people at Info Services New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Pune, Maharashtra, India Contact Info Sign in to view Neha’s full profile Neha can introduce you to 10+ people at Info Services Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . 1K followers 500+ connections Sign in to view Neha’s full profile Neha can introduce you to 10+ people at Info Services New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . See your mutual connections View mutual connections with Neha Neha can introduce you to 10+ people at Info Services Sign in with Email or New to LinkedIn? 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Join now Neha Zaveri Neha Zaveri 3w Report this post Neha Zaveri shared this Continuing on Databricks Learning Journey Partner Training - Snowflake Migration - Assessment • Neha Zaveri • Databricks Academy Partner Training - Snowflake Migration - Assessment • Neha Zaveri • Databricks Academy 16 2 Comments Copy LinkedIn Facebook X Report this post Neha Zaveri reposted this Report this post Neha Zaveri reposted this Anand Zaveri Anand Zaveri 4mo Neha Zaveri reposted this 🚀 We’re Hiring: Senior Cloud Data Engineer (IC Role) | Remote | Blotout We’re looking for a Senior Cloud Data Engineer to join Blotout and help enhance and support our cloud-based SaaS product. 🔹 Role Overview Experience: 4–8 years Location: Remote Role Type: Individual Contributor (IC) 🔹 Must-Have Skills Java, Python SQL & strong querying skills PostgreSQL AWS (Glue, S3, Athena) 🔹 Good to Have DBT Redis Spring Framework Microservices architecture Docker & Kubernetes 🔹 Key Responsibilities Contribute as an IC to the development of our cloud-based SaaS platform Triage product issues, provide workarounds, and identify root causes Recommend and implement improvements to enhance product performance and reliability Create knowledge base articles for internal and external stakeholders Collaborate closely with Engineering teams to ensure timely issue resolution 🔹 Requirements Bachelor’s degree in Computer Engineering or a related technical field 4+ years of relevant experience in a technical/support-oriented role Strong understanding of Java and Spring-based applications Experience working with SaaS platforms and troubleshooting web-based applications Solid knowledge of PostgreSQL, AWS, and SQL (including complex queries) Strong analytical and problem-solving skills Excellent communication (written & verbal) Ability to prioritize and manage multiple tasks effectively 📩 Interested? Drop me a DM! 🌐 Learn more: https://blotout.io/ Blotout: Your Signal Infrastructure, We Run It. Blotout: Your Signal Infrastructure, We Run It. 14 Copy LinkedIn Facebook X Report this post Neha Zaveri reposted this Report this post Neha Zaveri reposted this Info Services Info Services 1y Neha Zaveri reposted this We proudly announce that Info Services has achieved the Amazon Web Services (AWS) Data & Analytics Competency! This prestigious recognition is a testament to our unparalleled expertise in Big Data engineering on AWS and our commitment to delivering scalable, high-performance data and analytics solutions. Info Services has a long-standing history of managing petabyte-scale implementations, showcasing our ability to handle vast amounts of data with precision and efficiency. Our extensive experience in the field allows us to design and implement robust data architectures that meet and exceed our clients' expectations. By leveraging AWS's comprehensive suite of data services, we have consistently empowered our clients to unlock the full potential of their data, driving innovation and informed decision-making. Our dedication to excellence is evident in our capability to deliver scalable data and analytics foundations, enabling seamless data integration, advanced analytics, and real-time insights. As we continue to push the boundaries of what's possible in data and analytics, we look forward to further enhancing our service offerings and delivering exceptional value to our clients. Stay tuned for more exciting updates and innovations from Info Services! Learn more about our Data Analytics Services - https://lnkd.in/gSUnzeWM #AWS #DataAnalytics #Innovation #DigitalTransformation public_profile__posts 70 5 Comments Copy LinkedIn Facebook X Report this post Neha Zaveri reposted this Report this post Neha Zaveri reposted this Info Services Info Services 1y Neha Zaveri reposted this We are beyond excited to announce that Info Services has achieved the highly coveted Amazon Web Services (AWS) Gen AI Competency! This prestigious recognition is a testament to our cutting-edge expertise and practical implementation capabilities in Generative AI on AWS. Generative AI represents the forefront of innovation, and only a select few organizations worldwide have reached this pinnacle. By mastering this advanced technology, Info Services is uniquely positioned to unlock unprecedented capabilities for our clients, enabling them to harness the power of AI to create, innovate, and transform their businesses like never before. Our team's relentless dedication and expertise have empowered us to successfully implement groundbreaking Gen AI use cases, driving tangible results and delivering extraordinary value. This achievement underscores our commitment to excellence and solidifies our status as a leader in the rapidly evolving AI landscape. Stay tuned for more thrilling updates and innovations from Info Services as we continue to push the boundaries of what's possible with Generative AI on AWS. We're proud to be at the forefront of this technological revolution, and we can't wait to share the next chapter of our journey with you! Learn more - https://lnkd.in/gDGREEK4 #AWS #GenAI #Innovation #ClientSuccess #TechUpdates public_profile__posts 112 15 Comments Copy LinkedIn Facebook X Report this post Neha Zaveri reposted this Report this post Neha Zaveri reposted this Info Services Info Services 1y Neha Zaveri reposted this We're #hiring a new Senior Data Engineer - Airflow Specialist in Hyderabad, Telangana. Apply today or share this post with your network. Senior Data Engineer - Airflow Specialist Senior Data Engineer - Airflow Specialist Info Services, Hyderabad, Telangana, India 9 1 Comment Copy LinkedIn Facebook X Report this post Senior Data Engineer - Airflow Specialist Info Services, Hyderabad, Telangana, India Neha Zaveri reposted this Report this post Neha Zaveri reposted this Info Services Info Services 1y Neha Zaveri reposted this Wrapping Up 2024: A Message from Our CEO, Madhava Kota . public_profile__posts 188 26 Comments Copy LinkedIn Facebook X Report this post Neha Zaveri reposted this Report this post Neha Zaveri reposted this Info Services Info Services 1y Neha Zaveri reposted this We are beyond excited to announce that Info Services has achieved the highly coveted Amazon Web Services (AWS) Gen AI Competency! This prestigious recognition is a testament to our cutting-edge expertise and practical implementation capabilities in Generative AI on AWS. Generative AI represents the forefront of innovation, and only a select few organizations worldwide have reached this pinnacle. By mastering this advanced technology, Info Services is uniquely positioned to unlock unprecedented capabilities for our clients, enabling them to harness the power of AI to create, innovate, and transform their businesses like never before. Our team's relentless dedication and expertise have empowered us to successfully implement groundbreaking Gen AI use cases, driving tangible results and delivering extraordinary value. This achievement underscores our commitment to excellence and solidifies our status as a leader in the rapidly evolving AI landscape. Stay tuned for more thrilling updates and innovations from Info Services as we continue to push the boundaries of what's possible with Generative AI on AWS. We're proud to be at the forefront of this technological revolution, and we can't wait to share the next chapter of our journey with you! Learn more - https://lnkd.in/gDGREEK4 #AWS #GenAI #Innovation #ClientSuccess #TechUpdates public_profile__posts 112 15 Comments Copy LinkedIn Facebook X Report this post Neha Zaveri reposted this Report this post Neha Zaveri reposted this Info Services Info Services 1y Neha Zaveri reposted this We proudly announce that Info Services has achieved the Amazon Web Services (AWS) Data & Analytics Competency! This prestigious recognition is a testament to our unparalleled expertise in Big Data engineering on AWS and our commitment to delivering scalable, high-performance data and analytics solutions. Info Services has a long-standing history of managing petabyte-scale implementations, showcasing our ability to handle vast amounts of data with precision and efficiency. Our extensive experience in the field allows us to design and implement robust data architectures that meet and exceed our clients' expectations. By leveraging AWS's comprehensive suite of data services, we have consistently empowered our clients to unlock the full potential of their data, driving innovation and informed decision-making. Our dedication to excellence is evident in our capability to deliver scalable data and analytics foundations, enabling seamless data integration, advanced analytics, and real-time insights. As we continue to push the boundaries of what's possible in data and analytics, we look forward to further enhancing our service offerings and delivering exceptional value to our clients. Stay tuned for more exciting updates and innovations from Info Services! Learn more about our Data Analytics Services - https://lnkd.in/gSUnzeWM #AWS #DataAnalytics #Innovation #DigitalTransformation public_profile__posts 70 5 Comments Copy LinkedIn Facebook X Report this post Neha Zaveri liked this Report this post Neha Zaveri liked this Abhinav Onkar Abhinav Onkar 5d Neha Zaveri liked this I'm pleased to have completed the"Complete Guide to Python for Data Engineering: From Beginner to Advanced" certification. In today's AI-driven world, Python has become the universal language connecting data engineering, analytics, machine learning, and Generative AI. From building scalable data pipelines to enabling advanced AI solutions, Python continues to be a must-have skill for every modern Data Engineer. As we move toward intelligent, automated, and data-driven enterprises, investing in Python expertise is investing in the future of AI-powered innovation. Looking forward to applying these learnings in building next-generation data solutions! https://lnkd.in/dpFtwnvk #Python #DataEngineering #AI #GenerativeAI #Snowflake #DataScience #LinkedInLearning #DigitalTransformation #TechGrowth Certificate of Completion Certificate of Completion 12 2 Comments Copy LinkedIn Facebook X Report this post Neha Zaveri liked this Report this post Neha Zaveri liked this StartupFox StartupFox 6d Neha Zaveri liked this A creator named Dipanshu's take on Gurgaon corporate culture is resonating because it points to a contradiction many professionals instantly recognise. From the outside, the offices look polished. Glass buildings, premium business districts and the visual language of ambition. But his point is that the real employee experience is shaped far less by the building and far more by what happens inside it—office politics, internal pressure, unhealthy work culture and the kind of environment that can slowly wear people down. That is what makes the observation valuable. Companies often invest heavily in projecting success through infrastructure, branding and appearance. But employees do not experience a workplace through the façade. They experience it through managers, team dynamics, politics, recognition, pressure and whether the culture allows them to work with dignity. A beautiful office can still produce an emotionally exhausting career experience. The broader signal is important. As more professionals speak openly about burnout and toxic workplaces, the definition of a “good company” is shifting. It is no longer enough for a workplace to look aspirational from the outside. If the culture inside is corrosive, employees eventually expose the gap. The strongest workplaces are not the ones with the best-looking buildings. They are the ones where people do not feel broken after working inside them. For daily, sharp analysis of the biggest moves in the Indian business and startup ecosystem, follow StartupFox. #gurgaon #corporateculture #officepolitics #workplaceculture #toxicworkplace #burnout #corporateindia #futureofwork #startupindia #startupfox public_profile__reactions 335 15 Comments Copy LinkedIn Facebook X Report this post Neha Zaveri liked this Report this post Neha Zaveri liked this The Better India The Better India 1w Neha Zaveri liked this At 80, he saw the sea for the first time—and his son’s reaction says everything. ❤️ In 2020, this family lost their mother to Stage 4 cancer. After spending their savings trying to save her, the son left his corporate job and returned to his hometown to be with his father. His father, a retired PWD supervisor, had spent his entire life there. Together, they started a small café with borrowed money and slowly rebuilt their lives. Then came one simple wish: “I want to visit Jagannath Dham.” So, his son made it happen. For the first time, his father travelled on the Rajdhani Express, rode an escalator, travelled in an AC coach—and at 80, saw the ocean. Standing before the sea, he folded his hands with tears in his eyes. Because sometimes, success isn’t about what we achieve for ourselves. It’s about giving our parents the moments they spent their lives giving us. ❤️ Credits : bhukkhad_musafir on IG #ParentsLove #FamilyLove #HeartwarmingStories #InspiringStories #LifeLessons [80-Year-Old Father Sees The Sea For The First Time, Son Fulfills Father’s Dream, Heartwarming Parent-Child Journey, Son Takes Father To Jagannath Dham, Emotional Family Travel Story] public_profile__reactions 3,087 65 Comments Copy LinkedIn Facebook X Report this post The Better India Neha Zaveri liked this Report this post Neha Zaveri liked this Suryansh Rajawat Suryansh Rajawat 1mo Neha Zaveri liked this Yesterday, I attended an insightful session at Equal Experts on AI-Augmented DevOps: From Incident Detection to Recovery by Mahesh Shekhar But Bengaluru traffic had some other plans 🚦, so I reached a bit late and couldn't catch the session from the beginning. Still, the part I attended was full of practical insights on Kubernetes, AI-assisted incident analysis, and real-world troubleshooting. Thank you, Mahesh Shekhar , for sharing your knowledge and experience. Looking forward to attending more such community sessions and continuing to learn. Equal Experts #DevOps #Kubernetes #AI #ChaosEngineering #Engineering !!! public_profile__reactions 60 1 Comment Copy LinkedIn Facebook X Report this post Suryansh Rajawat Neha Zaveri liked this Report this post Neha Zaveri liked this Shubham Srivastava Shubham Srivastava 1w Neha Zaveri liked this In 2014, I became a software engineer. In 2017, I permanently moved into data engineering. And somehow, I have had this vocabulary ever since: Pipeline. Spark. Kafka. Airflow. Snowflake. Warehouse. Lakehouse. Partition. Schema. Cluster. It looks funny when you put it like that. But every time I see a joke like this, it reminds me of something I still believe after almost a decade in data: If your fundamentals are weak, every new tool will make you feel like you are starting over. AI is changing how we write code. Platforms are becoming easier to use. Agents can generate SQL, build pipelines, debug jobs, and explain Spark plans. Great. But if I were getting into data engineering today, I would still make sure I understood these first: ➤ SQL → Joins, CTEs, window functions, aggregations, query plans ➤ Data modeling → Facts vs dimensions, grain, normalization, denormalization ➤ File formats → Why Parquet behaves differently from CSV or JSON ➤ Partitioning → What to partition on, and when partitions actually make things worse ➤ Distributed systems → What happens when your data no longer fits on one machine ➤ Spark → Shuffles, stages, partitions, skew, caching, executors ➤ Batch processing → Backfills, retries, idempotency, late-arriving data ➤ Streaming → Events, offsets, consumer groups, checkpoints, watermarks ➤ Kafka → Topics, partitions, replication, retention, delivery semantics ➤ Data warehouses → Storage vs compute, clustering, pruning, workload isolation ➤ Orchestration → DAGs, dependencies, retries, SLAs, failure recovery ➤ Schema evolution → What happens when upstream adds, removes, or changes a field ➤ Data quality → Freshness, completeness, duplicates, nulls, broken business logic ➤ Observability → Know a pipeline is broken before a stakeholder tells you ➤ CDC → Inserts, updates, deletes, ordering, replay ➤ APIs → Pagination, rate limits, authentication, retries ➤ Cloud fundamentals → Object storage, IAM, networking, compute, secrets ➤ Git → Branches, pull requests, reviews, rollback ➤ CI/CD → Test pipelines before production tests them for you ➤ Python → Not LeetCode Python. The Python you need to move, clean, validate, and automate data. ➤ Cost → Every query, shuffle, scan, and idle cluster eventually becomes a bill ➤ Security → Who can read the data, who can change it, and who definitely should not ➤ Testing → Unit tests, integration tests, data tests, contract tests ➤ Debugging → Follow the data from source to sink instead of randomly changing code ➤ System design → Choose the boring architecture that survives production ➤ Business context → Understand what the metric means before building the pipeline that calculates it Learn those properly, and AI becomes leverage. Skip them, and AI just helps you make mistakes faster. public_profile__reactions 1,523 26 Comments Copy LinkedIn Facebook X Report this post Shubham Srivastava Neha Zaveri liked this Report this post Neha Zaveri liked this Startupro.in Startupro.in 1w Neha Zaveri liked this Anupam Mittal has highlighted the “marriage penalty” faced by may Indian women, pointing to the large number of women who leave the workforce after marriage or childbirth and never return. In his Independence Day message, Mittal said 73% of Indian women leave the workforce after marriage or childbirth, with two-thirds not returning, describing the career break as more than just a pause in employment. He argued that this loss of workforce participation affects both women's financial independence and India's economy, which he estimates loses nearly $350 billion annually. Through Shaadi.org and Aspire For Her, he is supporting an initiative aimed at helping women return to work by creating a community around career opportunities, skills and financial independence. His central message: Independence is incomplete without financial independence. #AnupamMittal #Women #Jobs #Opportunity #Careers #Financial #Independance #Startupro public_profile__reactions 1,218 50 Comments Copy LinkedIn Facebook X Report this post Neha Zaveri liked this Report this post Neha Zaveri liked this Info Services Info Services 1w Neha Zaveri liked this We're #hiring a new Lead-System Administration (Hadoop/EMR) in Bangalore Urban, Karnataka. Apply today or share this post with your network. Lead-System Administration (Hadoop/EMR) Lead-System Administration (Hadoop/EMR) Info Services, Bangalore Urban, Karnataka, India 1 Copy LinkedIn Facebook X Report this post Lead-System Administration (Hadoop/EMR) Info Services, Bangalore Urban, Karnataka, India Neha Zaveri liked this Report this post Neha Zaveri liked this Sekar Satagopan Sekar Satagopan 1w Neha Zaveri liked this Hiring Banking SME (Data Modernization, Analytics & AI) We, at InfoServices ( www.infoservices.com ), are looking for an experienced Banking Subject Matter Expert (SME) to join strategic Data Modernization, Analytics & AI Transformation Programs in our Banking Practice. Location: Chennai (Preferred) Experience: 10+ Years We're looking for someone with: ✔ Strong Banking IT experience with Core Banking Systems ✔ Expertise in Data Warehousing, BI & Analytics ✔ Experience in Business Analysis and Requirements Gathering ✔ Good understanding of banking data, KPIs and regulatory reporting ✔ Exposure to AI/ML and Generative AI use cases in Banking ✔ Excellent stakeholder management and consulting skills This role will work closely with business and technology teams to define business requirements, identify high-impact Analytics & AI use cases, and support the bank's enterprise data modernization journey. If you or someone in your network fits this profile, please share your profile or reach out to me directly. sekar.satagopan@infoservices.com #Hiring #Banking #BFSI #BusinessAnalyst #BankingSME #DataModernization #DataAnalytics #ArtificialIntelligence #GenerativeAI #DataWarehouse #CoreBanking #ChennaiJobs Expert Digital Transformation : Accelerating Growth | Info Services Expert Digital Transformation : Accelerating Growth | Info Services 7 Copy LinkedIn Facebook X Report this post Sekar Satagopan Neha Zaveri liked this Report this post Neha Zaveri liked this StartupFox StartupFox 1w Neha Zaveri liked this The Maharashtra Food and Drug Administration led by, Tukaram Mundhe; has suspended the food licence of a Blinkit dark store in Malad West, Mumbai, following an inspection on August 7. Officials reported extensive cockroach infestation, food stored on rusted racks and floors, poor cold-storage cleanliness, inadequate pest and waste controls, expired, damaged or tampered packaged products, and missing medical and health records for food handlers. The licence has been suspended until further orders, preventing the facility from conducting food business during the suspension. But this is not simply a hygiene story about one warehouse. Quick commerce has changed where retail trust sits. In a supermarket, customers can see the shelves, refrigerators, floors and staff before buying. In quick commerce, all of that infrastructure disappears behind an interface. The consumer sees product photographs, an ETA and a sealed bag. The platform therefore asks customers to trust that hundreds of operational details they cannot inspect themselves are being controlled consistently behind the screen. That becomes harder as the network scales. Blinkit had more than 2,400 stores by June 2026. Density is precisely what makes fast delivery possible: inventory sits closer to customers across thousands of small fulfilment points. But the same architecture creates a different operational challenge. Food safety cannot merely be a strong central policy; it has to survive execution inside every individual dark store, every shift and every storage area. A failure at one node may be geographically local, but the customer experiences it as a failure of the brand. That is why regulatory scrutiny of dark stores could become an important second chapter of India's quick-commerce boom. The first battle was about who could deliver fastest, expand deepest and offer the widest assortment. The next one may be about whether companies can make the invisible infrastructure underneath that convenience as dependable as the interface above it. In quick commerce, speed wins the order. Trust determines whether the model deserves to keep it. For daily, sharp analysis of the biggest moves in the Indian business and startup ecosystem, follow StartupFox. #blinkit #tukarammundhe #maharashtrafda #darkstores #quickcommerce #foodsafety #retailtech #indiantech #startupindia #startupfox public_profile__reactions 38,462 630 Comments Copy LinkedIn Facebook X Report this post Experience & Education Info Services ******** ** *** **** *** ** ************ ******** ** *** **** *** ** ************ ******** ** *** **** *** ** ************ ***** ******* ****** ******** ********* ****** ******** ********* ****** ******** ********* ******** ****** ******** ******** *** ***** ******* ****** ******** ******** *** ***** ******* ****** ******** ******** *** ***** ******* ***** ****** **** ***** ***** *********** ******* ********** ****** *********** ********** Distinction 2006 - 2010 ***** ****** **** ***** ***** *********** ******* ********** ****** *********** ********** Distinction ********** ****** *********** ********** Distinction View Neha’s full experience See their title, tenure and more. 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Licenses & Certifications AWS Certified Developer - Associate - Issued Jan 2018 AWS Certified Developer - Associate Partner Training - Snowflake Migration - Assessment Databricks Issued Jul 2026 Expires Jul 2028 Credential ID 190079724 See credential Partner Training - Snowflake Migration - Assessment Partner Training - Solutions Architect Essentials Databricks Issued Jun 2024 Expires Jun 2026 Credential ID 105126407 See credential Partner Training - Solutions Architect Essentials Databricks Certified Data Engineer Professional Databricks Issued May 2024 Expires May 2026 Credential ID 103669057 See credential Databricks Certified Data Engineer Professional Academy Accreditation - Generative AI Fundamentals Databricks Issued Sep 2023 Expires Sep 2025 Credential ID 83108479 See credential Academy Accreditation - Generative AI Fundamentals AWS Certified Data Analytics – Specialty Amazon Web Services (AWS) Issued Sep 2022 Expires Sep 2025 See credential AWS Certified Data Analytics – Specialty Amazon Web Services (AWS) Databricks Certified Data Engineer Associate Databricks Issued May 2023 Expires May 2025 Credential ID 73675888 See credential Databricks Certified Data Engineer Associate Academy Accreditation - Databricks Lakehouse Fundamentals Databricks Issued Feb 2023 Expires Feb 2024 Credential ID 67754410 See credential Academy Accreditation - Databricks Lakehouse Fundamentals

Oracle Certified Expert, Java Platform, EE 6 Web Component Developer Oracle Oracle Certified Expert, Java Platform, EE 6 Web Component Developer Oracle Certified Professional, Java SE 6 Programmer Oracle Oracle Certified Professional, Java SE 6 Programmer Volunteer Experience Secretary National Social Service Scheme(At College Level) Jan 2009 - Apr 2010 1 year 4 months Social Services National Social Service Scheme(At College Level) Jan 2009 - Apr 2010 1 year 4 months Social Services Content Knowledge Graph HBO Max Apr 2022 Content Knowledge Graph HBO Max Research Data Platform - Elsevier Jan 2021 Data Analytics platform for Elsevier Involved in creating consumer application which use ML Models to predict entities from the submission Event Driven Architecture Research Data Platform - Elsevier Data Analytics platform for Elsevier Involved in creating consumer application which use ML Models to predict entities from the submission Event Driven Architecture Payment Gateway - Network International Jan 2020 - Dec 2020 Involved in designing and developing event based architecture for Network International Payment Gateway - Network International Jan 2020 - Dec 2020 Involved in designing and developing event based architecture for Network International Programmatic Platform - Clear Channel Nov 2015 - Dec 2019 Worked in various role.. Starting from software developer, Tech Lead, Delivery Lead Involved in induction of project to execution Lead the team of 25 Programmatic Platform - Clear Channel Nov 2015 - Dec 2019 Worked in various role.. Starting from software developer, Tech Lead, Delivery Lead Involved in induction of project to execution Lead the team of 25 Central Vehicle Service - CDK GLobal Oct 2014 - Nov 2015 Involved in development highly available micro-service , which formed the back bone for all other products within company Central Vehicle Service - CDK GLobal Oct 2014 - Nov 2015 Involved in development highly available micro-service , which formed the back bone for all other products within company Workflow Management - Pubmatic May 2013 - Oct 2014 Involved in development of Workflow Management system to ease the life customer support people and automate Workflow Management - Pubmatic May 2013 - Oct 2014 Involved in development of Workflow Management system to ease the life customer support people and automate English Full professional proficiency Full professional proficiency Hindi Full professional proficiency Full professional proficiency Marathi Full professional proficiency Full professional proficiency Gujarati Limited working proficiency Limited working proficiency View Neha’s full profile See who you know in common Contact Neha directly Other similar profiles Harinath Bingi Harinath Bingi Osmania University 17K followers Hyderabad View Profile Osmania University Amitesh Jain Amitesh Jain RDSolutions India 7K followers North Delhi View Profile RDSolutions India Deepesh Kumar Deepesh Kumar Emirates NBD 9K followers Dubai View Profile Gautam Kumar Gupta Gautam Kumar Gupta PcsInfinity Pvt. 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Kasmo is bringing an interactive Snowflake experience to 𝐇𝐲𝐝𝐞𝐫𝐚𝐛𝐚𝐝, tailored for developers at every stage of their journey. ✔️ Practical sessions ✔️ Real-world use cases Details coming soon! #Snowflake #Hyderabad #DataEngineering #DataArchitecture #AISolutions 65 New to Snowflake or scaling at the enterprise level? Kasmo is bringing an interactive Snowflake experience to 𝐇𝐲𝐝𝐞𝐫𝐚𝐛𝐚𝐝, tailored for developers at every stage of their journey. ✔️ Practical sessions ✔️ Real-world use cases Details coming soon! #Snowflake #Hyderabad #DataEngineering #DataArchitecture #AISolutions DQ CHANNELS 3K followers Snowflake reinforced its commitment to India at the Snowflake World Tour, New Delhi. The event showcased the AI Data Cloud, customer success stories and new AI innovations, with IndiGo adopting the platform to build a secure enterprise data hub. Read more: https://lnkd.in/gAcVjJVc #DQChannels #snowflake #ai #data #cloudservices 4 Snowflake reinforced its commitment to India at the Snowflake World Tour, New Delhi. The event showcased the AI Data Cloud, customer success stories and new AI innovations, with IndiGo adopting the platform to build a secure enterprise data hub. Read more: https://lnkd.in/gAcVjJVc #DQChannels #snowflake #ai #data #cloudservices Cognine Technologies 8K followers Data is no longer about where it lives, it’s about how it connects. Our Senior Technical Manager at Cognine, VijayReddy Charabuddla, shares his perspective on how Data Fabric is redefining modern analytics, shifting the focus from data storage to seamless data flow. From unifying cloud and on-prem systems to automating governance, lineage, and metadata management, Data Fabric is transforming how organizations discover, access, and trust their data in real time. But integration without intelligence leads to fragmentation. As Vijay highlights, a true Data Fabric isn’t built overnight, it evolves through governance-first design, interoperability, and security at every layer. 👉 His takeaway: Data Fabric isn’t just architecture, it’s the nervous system of enterprise intelligence. Build on governance, connect data with AI, and empower every decision with context-rich insights. #datafabric #dataanalytics #ai #digitaltransformation #cognine #dataintegration #enterprisedata #moderndatastack #datagovernance #bigdata #cloudcomputing #machinelearning #datascience #businessintelligence #dataengineering #analytics #dataarchitecture #clouddata #datamanagement #enterprisearchitecture #aiinnovation #techtrends #futureofdata #dataops #insightsdriven #cognine 51 Cognine Technologies Data is no longer about where it lives, it’s about how it connects. Our Senior Technical Manager at Cognine, VijayReddy Charabuddla, shares his perspective on how Data Fabric is redefining modern analytics, shifting the focus from data storage to seamless data flow. From unifying cloud and on-prem systems to automating governance, lineage, and metadata management, Data Fabric is transforming how organizations discover, access, and trust their data in real time. But integration without intelligence leads to fragmentation. As Vijay highlights, a true Data Fabric isn’t built overnight, it evolves through governance-first design, interoperability, and security at every layer. 👉 His takeaway: Data Fabric isn’t just architecture, it’s the nervous system of enterprise intelligence. Build on governance, connect data with AI, and empower every decision with context-rich insights. #datafabric #dataanalytics #ai #digitaltransformation #cognine #dataintegration #enterprisedata #moderndatastack #datagovernance #bigdata #cloudcomputing #machinelearning #datascience #businessintelligence #dataengineering #analytics #dataarchitecture #clouddata #datamanagement #enterprisearchitecture #aiinnovation #techtrends #futureofdata #dataops #insightsdriven #cognine Venkat Sai Kalyanam Deloitte • 22K followers Most teams use Snowflake. Few use it properly. When I review data platforms, one pattern immediately tells me whether the engineering maturity is high or not: Are they using Streams & Tasks effectively? Here’s the architectural shift. Old mindset: “Reload the table.” Modern Snowflake mindset: “Process only what changed.” That difference separates scalable systems from expensive ones. Think about a typical sales pipeline. Raw transactional data lands continuously. Now you have two choices: Option A: Scan 200 million rows every hour. Recalculate everything. Pay the compute bill. Option B: Capture only inserts, updates, deletes. Process deltas. Merge incrementally. That’s exactly what Streams enable. They turn your table into a change log. Now comes automation. Tasks let you schedule SQL inside Snowflake itself. No Airflow. No external cron. No additional infra. You define: • The warehouse • The CRON schedule • The SQL logic And Snowflake handles execution. The real value isn’t just automation. It’s architectural clarity. RAW → STREAM → TASK → MERGE → CURATED This creates: • Deterministic incremental pipelines • Predictable compute usage • Reduced warehouse contention • Near real-time reporting Streams & Tasks are powerful — but not a silver bullet. They work best when: ✔ Your transformations are SQL-driven ✔ You’re building incremental marts ✔ You want Snowflake-native orchestration ✔ Latency requirements are minutes, not milliseconds They’re not ideal when: ✖ You need cross-platform orchestration ✖ You have complex DAG dependencies ✖ You’re running heavy Python/Spark workloads Good Snowflake architecture is not about features. It’s about minimizing unnecessary compute scans. Follow Me @venkatsaikalyanam for more such content If you want to transition your career into data feild? if you are a fresher and want to become a data engineer ? If you stuck in your job with support roles or any other roles which you’re not comfortable and want to transition your career towards Data engineer? Then Dm me or book a call with me to know more Book a 1 on 1 call with me: https://lnkd.in/gRgE8S_Z Join our watsapp community: https://lnkd.in/gvt9hGEX Resume review and building: https://lnkd.in/gC637h_R 1 Venkat Sai Kalyanam Deloitte • 22K followers Most teams use Snowflake. Few use it properly. When I review data platforms, one pattern immediately tells me whether the engineering maturity is high or not: Are they using Streams & Tasks effectively? Here’s the architectural shift. Old mindset: “Reload the table.” Modern Snowflake mindset: “Process only what changed.” That difference separates scalable systems from expensive ones. Think about a typical sales pipeline. Raw transactional data lands continuously. Now you have two choices: Option A: Scan 200 million rows every hour. Recalculate everything. Pay the compute bill. Option B: Capture only inserts, updates, deletes. Process deltas. Merge incrementally. That’s exactly what Streams enable. They turn your table into a change log. Now comes automation. Tasks let you schedule SQL inside Snowflake itself. No Airflow. No external cron. No additional infra. You define: • The warehouse • The CRON schedule • The SQL logic And Snowflake handles execution. The real value isn’t just automation. It’s architectural clarity. RAW → STREAM → TASK → MERGE → CURATED This creates: • Deterministic incremental pipelines • Predictable compute usage • Reduced warehouse contention • Near real-time reporting Streams & Tasks are powerful — but not a silver bullet. They work best when: ✔ Your transformations are SQL-driven ✔ You’re building incremental marts ✔ You want Snowflake-native orchestration ✔ Latency requirements are minutes, not milliseconds They’re not ideal when: ✖ You need cross-platform orchestration ✖ You have complex DAG dependencies ✖ You’re running heavy Python/Spark workloads Good Snowflake architecture is not about features. It’s about minimizing unnecessary compute scans. Follow Me @venkatsaikalyanam for more such content If you want to transition your career into data feild? if you are a fresher and want to become a data engineer ? If you stuck in your job with support roles or any other roles which you’re not comfortable and want to transition your career towards Data engineer? Then Dm me or book a call with me to know more Book a 1 on 1 call with me: https://lnkd.in/gRgE8S_Z Join our watsapp community: https://lnkd.in/gvt9hGEX Resume review and building: https://lnkd.in/gC637h_R Next Pathway 37K followers Top enterprises are re-platforming mission-critical workloads onto Snowflake for cloud-native performance and accelerated innovation. Next Pathway CEO Chetan Mathur outlines how automation-first frameworks make modernization at scale possible, cutting through legacy complexity for global organizations. Next Pathway’s SHIFT Cloud Product Platform empowers leaders to map and analyze legacy data environments, seamlessly translate large code volumes, and deliver thorough testing. Explore this executive roadmap for the four essential stages of enterprise migration, gaining actionable insights to strategically de-risk your Snowflake adoption. Read the full article now: https://bit.ly/46jPnPM #NextPathway #SHIFTCloud #CloudAutomation #CloudMigration #Snowflake #Onelake #DataFactory #AzureSynapes #Informatica #ETL #AI #Aiautomation #GenerativeAI 16 Top enterprises are re-platforming mission-critical workloads onto Snowflake for cloud-native performance and accelerated innovation. Next Pathway CEO Chetan Mathur outlines how automation-first frameworks make modernization at scale possible, cutting through legacy complexity for global organizations. Next Pathway’s SHIFT Cloud Product Platform empowers leaders to map and analyze legacy data environments, seamlessly translate large code volumes, and deliver thorough testing. Explore this executive roadmap for the four essential stages of enterprise migration, gaining actionable insights to strategically de-risk your Snowflake adoption. Read the full article now: https://bit.ly/46jPnPM #NextPathway #SHIFTCloud #CloudAutomation #CloudMigration #Snowflake #Onelake #DataFactory #AzureSynapes #Informatica #ETL #AI #Aiautomation #GenerativeAI The New Stack 30K followers Learn the crucial difference between platform and analytics engineers for a successful data platform. By Ashok Singamaneni and Databricks' Gaurav Nanda 2 Learn the crucial difference between platform and analytics engineers for a successful data platform. By Ashok Singamaneni and Databricks' Gaurav Nanda AnjuSmriti Global 24K followers Snowflake SnowPro Advanced certifications held by India engineers available for hourly contract: SnowPro Advanced Data Engineer covering Snowflake platform internals, performance optimization, and data engineering patterns. SnowPro Advanced Architect covering enterprise architecture design, security, governance, and cross-cloud Snowflake deployments. SnowPro Advanced Data Scientist covering ML and AI integrations with Snowflake including Snowpark and Cortex. These are not entry-level certifications. They require verified Snowflake production experience to pass. India engineers with these certifications are available at hourly rates that make dedicated Snowflake expertise accessible for every data team budget. Find India SnowPro Advanced certified engineers for your data platform project. Certification verified before any profile is shared. https://lnkd.in/e5b8pDFh #SnowflakeEngineers #HireFromIndia #SnowProAdvanced #SnowPro #DataPlatform #SnowflakeCertified #TechHiring #AnalyticsEngineering #HourlySnowflake #DataEngineering AnjuSmriti Global Snowflake SnowPro Advanced certifications held by India engineers available for hourly contract: SnowPro Advanced Data Engineer covering Snowflake platform internals, performance optimization, and data engineering patterns. SnowPro Advanced Architect covering enterprise architecture design, security, governance, and cross-cloud Snowflake deployments. SnowPro Advanced Data Scientist covering ML and AI integrations with Snowflake including Snowpark and Cortex. These are not entry-level certifications. They require verified Snowflake production experience to pass. India engineers with these certifications are available at hourly rates that make dedicated Snowflake expertise accessible for every data team budget. Find India SnowPro Advanced certified engineers for your data platform project. Certification verified before any profile is shared. https://lnkd.in/e5b8pDFh #SnowflakeEngineers #HireFromIndia #SnowProAdvanced #SnowPro #DataPlatform #SnowflakeCertified #TechHiring #AnalyticsEngineering #HourlySnowflake #DataEngineering DevOps Bulletin 17K followers Decathlon shared how they replaced Apache Spark with Polars for smaller and mid-sized datasets. By running Polars in a single Kubernetes pod, they cut cold-start time, reduced infrastructure costs, and finished jobs faster than waiting for Spark clusters to spin up. Streaming mode made it possible to process data larger than memory without over-provisioning. #DataEngineering #Kubernetes #FinOps 3 1 Comment DevOps Bulletin Decathlon shared how they replaced Apache Spark with Polars for smaller and mid-sized datasets. By running Polars in a single Kubernetes pod, they cut cold-start time, reduced infrastructure costs, and finished jobs faster than waiting for Spark clusters to spin up. Streaming mode made it possible to process data larger than memory without over-provisioning. #DataEngineering #Kubernetes #FinOps Superintelligence 3K followers 🚨 Snowflake Opens New Office in Bengaluru 🚨 Snowflake has officially expanded its footprint in India with the launch of a new office at The Square, Vittal Mallya Road, Bengaluru — following the opening of its Mumbai facility earlier this year. 🇮🇳 This move reinforces Snowflake’s commitment to innovation, collaboration, and building a strong data and AI community in one of India’s most dynamic tech hubs. 🏢 The Bengaluru office will serve as a central hub for teams and customers to collaborate on cutting-edge data and AI projects. According to Vijayant Rai, Managing Director at Snowflake India, the space is designed to be a vibrant environment where teams can connect, create, and drive impact. 👏 Rai expressed gratitude to employees, partners, and the local ecosystem for making this milestone possible. He also emphasized the company’s focus on hiring in the region, with plans to grow the India workforce to over 700 by the end of 2025. 📈 With India becoming a key market, this expansion aims to strengthen customer engagement and talent development across the country. Bengaluru will complement Snowflake’s operations in Mumbai as part of its broader strategy to deepen its presence in India. #superintelligencenews #superintelligencenewsletter #Snowflake #AI #DataCloud #BengaluruTech #IndiaTech #Hiring #TechExpansion #EnterpriseAI #DataInnovation Superintelligence 🚨 Snowflake Opens New Office in Bengaluru 🚨 Snowflake has officially expanded its footprint in India with the launch of a new office at The Square, Vittal Mallya Road, Bengaluru — following the opening of its Mumbai facility earlier this year. 🇮🇳 This move reinforces Snowflake’s commitment to innovation, collaboration, and building a strong data and AI community in one of India’s most dynamic tech hubs. 🏢 The Bengaluru office will serve as a central hub for teams and customers to collaborate on cutting-edge data and AI projects. According to Vijayant Rai, Managing Director at Snowflake India, the space is designed to be a vibrant environment where teams can connect, create, and drive impact. 👏 Rai expressed gratitude to employees, partners, and the local ecosystem for making this milestone possible. He also emphasized the company’s focus on hiring in the region, with plans to grow the India workforce to over 700 by the end of 2025. 📈 With India becoming a key market, this expansion aims to strengthen customer engagement and talent development across the country. Bengaluru will complement Snowflake’s operations in Mumbai as part of its broader strategy to deepen its presence in India. #superintelligencenews #superintelligencenewsletter #Snowflake #AI #DataCloud #BengaluruTech #IndiaTech #Hiring #TechExpansion #EnterpriseAI #DataInnovation Explore collaborative articles We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. 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