At Pfizer, I lead delivery of eight commercial data products for prescription performance, payer access, patient services, HCP/HCO engagement, and territory analytics. I build ETL/ELT pipelines processing 350–500 GB daily across 14 source systems and deliver curated datasets for Power BI, Tableau, forecasting, and RAG applications.
I’ve also supported payment operations at JPMorgan Chase, processing 120–160 GB of transaction data daily and reducing a high-volume workflow runtime by approximately 30%. Earlier at Liberty Mutual, I helped migrate claims workloads to GCP and improved selected Dataflow and Dataproc jobs by approximately 20%.
I work across Python, SQL, PySpark, Apache Spark, Databricks, dbt, Snowflake, AWS, Azure, and GCP to build batch, streaming, and incremental pipelines. My work includes Lakehouse architecture, dimensional modeling, data quality, observability, lineage, security, CI/CD, and cost optimization.
I partner closely with analysts, BI developers, product owners, governance, security, and AI teams to turn business needs into governed data products. I also mentor junior engineers through code reviews, design sessions, pair programming, and production troubleshooting.
