---
title: "Shrinivas Vishnupurikar Kulkarni - Snowflake Developer – Data Engineering & Applied AI in Pune District | Tal"
description: "Meet Shrinivas Vishnupurikar Kulkarni, Snowflake Data & Solutions Engineer @ArisData Leading Engg. Teams | Apache Iceberg | Lakehouse & Data AI Architecture | Distributed Computing & Query Engines | Public Speaker | First-Principles Thinker | based in Pune District. AI stack includes antigravity, c..."
image: "https://tal.club/meet/shrinivas-vishnupurikar-kulkarni/share-image"
---

# Shrinivas Vishnupurikar Kulkarni on Tal

## Headline

Snowflake Data & Solutions Engineer @ArisData Leading Engg\. Teams \| Apache Iceberg \| Lakehouse & Data AI Architecture \| Distributed Computing & Query Engines \| Public Speaker \| First\-Principles Thinker \|

## About

I am a Data Engineer who designs and builds scalable, cloud\-native data platforms that deliver reliable, timely, and high\-quality data for analytics and decision\-making\. My work is grounded in Python, SQL, and modern cloud platforms, with a strong focus on building efficient, secure, and cost\-optimized data systems aligned with real business outcomes\. Currently, I work as a Snowflake Data Engineer at ArisData, where I design solution\-oriented architectures on the Snowflake Data & AI Platform\. As our organization expands into Snowflake Intelligence, I work closely on use cases across Healthcare & Life Sciences, Finance, and Retail that drive impact through strong Data Governance, Security, Observability, and Performance optimization at scale\. Previously at Velotio Technologies, I built a custom data integration service for an LLM\-as\-a\-Service client using Python, FastAPI, and ArangoDB\. I also worked extensively with Databricks, Azure Data Factory, and AI Agents on Databricks for clients in the access and security domain\. My journey into data engineering began at Coditas, where I built data migration solutions using MongoDB, PostgreSQL, Python, and Docker for a micro\-loans firm, and developed ETL pipelines on AWS Databricks for a healthcare facility\. Beyond implementation, I care deeply about system design—how data is modelled, stored, queried, and governed\. I am particularly interested in data architecture & system design, data modelling, database engineering, dimensional modeling, data warehousing, and cloud internals\. I also share my learnings through technical blogs and actively volunteer at tech meetups, events, and conferences\. If you are working on meaningful data initiatives, feel free to reach out\. https://substack\.com/@shrinivasv73?

## Location

Pune District

## AI stack

antigravity

claude

codex

## Work experience

Snowflake Developer – Data Engineering & Applied AI at ArisData, Dec 2025 \- Present · 8 mos, Houston, Texas, United States, ➡️ Designing and developing a Redshift to Snowflake migration accelerator, translating complex legacy data infrastructure into scalable, cloud\-native Snowflake architectures\. ➡️ Building and maintaining data pipelines using Snowflake, Python, SQL, and dbt, with integrations across AWS, Azure, and Redshift environments\. ➡️ Took interim ownership of a 6\+ member data engineering team — managing daily standups, conducting 1:1s, driving priority alignment, and ensuring on\-track delivery of Engagement Project 1\. ➡️ Mentored team members on architectural thinking, shifting the team's approach from pipeline execution to solution design — encouraging exploration of migration paths including Azure Synapse to Snowflake and BigQuery to Snowflake\. ➡️ Contributing to two active client\-facing engagement projects, applying real\-world data engineering practices across the full pipeline lifecycle\. ➡️ Representing the organisation at community events including AWS Community Day and Snowflake User Group meetups, with a session contribution to the Snowflake community\.

Data Engineer at R Systems, Mar 2025 \- Dec 2025 · 10 mos, Pune District, Maharashtra, India, I was a Data Engineer at Velotio Technologies\. After the acquisition in 2024 and complete merging in 2026, Velotio is being recognised as R Systems\. ➡️ Built a custom backend API using Python and FastAPI to integrate Snowflake into an internal data integration platform, reducing connector setup time by 40% and enabling real\-time metadata ingestion for enterprise clients\. ➡️ Designed and optimized a Snowflake data warehouse as part of a client proof\-of\-concept \(POC\), achieving 2\.3× faster query performance and 45% cost savings compared to Amazon Redshift\. ➡️ Delivered a comprehensive benchmarking report using production\-grade workloads and queries, directly influencing the client’s decision to adopt Snowflake for their production systems\.

Co\-Founder at Cake4U, Aug 2024 \- Aug 2025 · 1 yr 1 mo, Pune District, Maharashtra, India, ➡️ Conducted in\-depth research on customer demographics to understand dietary preferences and health\-related concerns around commercial baked goods\. ➡️ Analyzed food and hospitality industry standards to define structured and hygienic workflows for custom cake production\. ➡️ Initiated strategic partnerships with 20\+ home bakers and small\-scale baking outlets to ensure a scalable and decentralized supply network\. ➡️ Led initiatives to embed transparency in hygiene practices through audit protocols, customer education, and health\-centric product development\. ➡️ Currently heading Product Engineering across mobile and web platforms—responsible for UI/UX design, full\-stack development, scalable system architecture, and cloud\-based deployment\. ➡️ Collaborating with cross\-functional stakeholders to integrate features that reflect our core values of health\-conscious customization and user trust\. ➡️ Overseeing tech\-driven solutions to bridge passionate bakers with health\-aware customers through a seamless digital experience\.

Associate Data Engineer at Coditas, Oct 2024 \- Mar 2025 · 6 mos, Pune District, Maharashtra, India, ➡️ Developed scalable ETL pipelines in Azure Databricks using PySpark to process large datasets from CSV and JSON sources, ensuring 100% ingestion accuracy\. ➡️ Optimized Spark jobs using DataFrame APIs and partitioning techniques, reducing data processing time by 40% and improving storage efficiency with Parquet in DBFS\. ➡️ Automated end\-to\-end data workflows using AWS Lambda and Step Functions, cutting down manual intervention by 90% across healthcare and regulatory use cases\. ➡️ Designed and implemented dynamic table creation and metadata extraction from PDFs, enabling seamless handling of 5M\+ records annually with zero data loss\. ➡️ Engineered reliable incremental data loading using append and overwrite strategies, improving retrieval speeds by 35% across pipelines\. ➡️ Modelled data into analytical Star Schemas, accelerating reporting workflows for healthcare analytics such as treatment outcomes, provider performance, and cost insights\. ➡️ Reduced query execution time by 30% in Amazon Redshift through effective transformation of semi\-structured data into optimized tabular formats\.

Software Engineer Intern at Bynaric Systems, Apr 2024 \- Sep 2024 · 6 mos, Pune District, Maharashtra, India, ➡️ Developing the "Alumni Connectivity" product for a renowned educational institute in Pune utilizing the Model\-View\-Controller \(MVC\) architecture\. ➡️ Lead the wireframes and high\-fidelity prototypes using Figma and establishing solid design systems inspired by the Uber design system\. ➡️ Leveraged ReactJS library to develop front\-end \[View\] and NodeJS \+ ExpressJS for a fast & secure backend \[Controller\] infrastructure supported by well\-organized MySQL databases \[Model\], facilitating user authentication and active sessions via JWT token, REST\-API, and payment integration\. ➡️ Utilising Amazon AWS for deployment and practicing Agile Software Development Methodology to facilitate iterative feedback and development\.

## Education

Bachelor of Technology \- BTech, Computer Science, Nutan College of Engineering & Research

Diploma of Education, Computer Engineering, Pimpri Chinchwad Education Trust'S\. Pimpri Chinchwad College Of Engineering

[View the original profile](https://tal.club/meet/shrinivas-vishnupurikar-kulkarni)

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