At GE Aerospace, I develop Azure Lakehouse pipelines that bring aircraft engineering, manufacturing, quality, and operational data together. I’ve optimized Spark jobs to improve pipeline runtime by 42% and developed reusable ETL components that reduce duplicate development effort by 35%.
At Bristol Myers Squibb, I built Azure data workflows for clinical trial, laboratory, and research datasets, including reusable frameworks that accelerated onboarding of new clinical studies by 40%. I also developed dashboards for patient enrollment, adverse events, and study milestones.
Earlier, I developed data engineering solutions at PayPal, Lowe's Companies, the State of Texas – Department of Information Resources (DIR), and FedEx. My work has included processing payment transactions, improving inventory visibility, migrating legacy ETL workloads, and supporting logistics reporting across Azure and AWS platforms.
