At Infosys, I work on Apple Inc.’s Supply Demand Management platform, transforming raw supply-and-demand data into analytics-ready Snowflake datasets. I design and maintain Keystone-orchestrated pipelines, with Python handling transformations and Airflow executing Python nodes.
I built the Python DVT tool from scratch to automate dataset comparisons across ETL runs, reducing manual QA effort by around 70%. I also migrated Teradata stored-procedure logic to Snowflake and developed reusable, config-driven ETL frameworks.
In my current role, I build Snowflake data models and manage S3 replication workflows for downstream consumers. I analyze Snowflake Query Profiles to tune warehouses, clustering, and query patterns, and monitor pipelines with Splunk and Grafana.
