suyog deogaonkar

I've delivered end-to-end Snowflake warehouse migrations, data marts, and enterprise data lakes across Banking and Healthcare. My work includes migrating a 40TB Core Banking and Cards warehouse from Teradata to Snowflake on AWS S3.

I build modular ELT pipelines with dbt, Azure Data Factory, Apache Airflow, Matillion, Snowflake Tasks, and Streams. I’ve automated data quality testing, real-time ingestion, CI/CD deployments, and multi-stage pipeline orchestration across development, QA, and production environments.

I focus on practical FinOps outcomes, including approximately 25% compute-credit savings, 30% storage savings, and 20–30% reductions in pipeline and query runtime. I’ve achieved these results through Snowflake warehouse tuning, resource monitors, S3 Glacier lifecycle policies, zero-copy cloning, and SQL optimization.

I also provide Level 3 production support, resolving high-severity incidents and performing root-cause analysis for complex SQL and ETL workloads.