Summary
Vivek Kulkarni is a pragmatic data engineer with nine years of experience building end-to-end, production-grade data platforms for companies including Meta, Fox, and Tesla from San Francisco. He specializes in orchestrating complex Airflow DAGs, authoring dbt models, and designing Spark-based ETL to move and transform large-scale event and signal data into Snowflake-powered analytics. Vivek has repeatedly led data warehouse builds and migrations—most notably architecting a dimensional warehouse for an acquired insurance business—and optimized cloud costs and performance through model redesign and Snowflake tuning. Comfortable across the stack, he integrates streaming (Kafka/Kinesis), APIs, and containerized deployments to enable real-time insights and reliable ML data flows. Colleagues rely on him for practical automation (custom Airflow operators, CloudFormation for infra) and for translating analyst needs into tested, reusable data models.
9 years of coding experience
7 years of employment as a software developer
Master's degree Information Systems, Master's degree Information Systems at Northeastern University
Bachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Savitribai Phule Pune University
Marathi, Hindi, English