At Pfizer, I develop Azure Data Factory and PySpark pipelines that integrate healthcare data across enterprise systems, improving data availability by 38%. I also build Azure Databricks workflows to support reliable analytics and reporting.
I optimized Azure Synapse workloads through partitioning and query tuning, reducing execution duration by 31%. I’ve also implemented metadata-driven ingestion and automated Python and SQL validation to strengthen pipeline reliability.
At Target, I prepared retail analytics data using AWS, SQL, and Python, improving reporting readiness by 29%. I automated validation processes that reduced manual effort by 25%.
At Citigroup, I developed SQL-based financial data workflows and automated reconciliation with SQL and Python. Query tuning reduced execution times by 24%, while data quality controls supported reliable reporting.
