At Capital One, I lead end-to-end data engineering across AWS, Snowflake, Redshift, Teradata, Databricks, and Spark. I build ETL/ELT pipelines for batch and streaming data, marketing campaigns, and analytical reporting.
I’ve modernized legacy on-premises workflows for AWS, developed data-quality monitoring with automated anomaly alerts, and created Tableau and QuickSight dashboards for campaign performance and validation. My work spans SQL, PySpark, Python, pipeline reconciliation, production operations, runbooks, and SLAs.
Across Capital One, FIS, Nike, and Tata Consultancy Services, I’ve delivered database, warehouse, and ingestion solutions from requirements through deployment and support. I enjoy mentoring teams, improving engineering practices, and turning complex data challenges into reliable, maintainable systems.

