At Kroger, I design and optimize scalable Azure Databricks and PySpark pipelines for high-volume workloads, building batch, near-real-time, streaming, and event-driven data solutions. I improve reliability through Delta Lake, Airflow orchestration, data quality validation, observability, RBAC, metadata management, and CI/CD automation.
Previously at Novartis and Grand Vision, I built enterprise data warehouses and cloud data lakes using Snowflake, Azure, AWS, Spark, Hadoop, Kafka, and Redshift. Across 12+ years, I've modernized legacy ETL workloads, tuned distributed processing, supported analytics in Power BI and Tableau, and mentored junior engineers on data engineering standards.
