Sneha Sabale

I’m a Data Engineer with 4+ years of experience building enterprise data pipelines across traditional ETL (Informatica BDM, CDC) and modern ELT frameworks (DBT on Snowflake). I focus on delivering analytics-ready datasets with strong performance and reliable data quality.

At Philip Morris International, I designed scalable DBT on Snowflake ELT pipelines using a layered architecture (staging, intermediate, marts). I built reusable DBT macros and modular transformation models to standardize logic, reduce code redundancy, and improve maintainability.

I also optimized complex Snowflake SQL queries, improving performance by ~30–40%, and implemented incremental loading strategies for efficient processing of large datasets. I integrated CI/CD workflows using GitHub and Bitbucket, and developed DBT data quality tests and documentation for reliability and lineage transparency.

In prior work at Bank of Baroda, I built ETL pipelines integrating Kafka, flat files, and relational sources into the Hadoop ecosystem, and implemented near real-time CDC using Informatica PowerExchange and Kafka. I was recognized as “Outstanding Performer – November 2025” (Accenture at PMI) for stabilizing data pipelines and proactively mitigating production risks.