At Cardinal Health, I build AWS, Databricks, dbt, and Snowflake pipelines for pharmacy, medication, inventory, order, provider, and claims data. I deliver governed healthcare data products with CDC, near-real-time ELT, quality controls, and HIPAA-aligned security.
Previously at Johnson & Johnson, I developed Azure Data Factory and Databricks transformations for clinical, pharmaceutical, medical-device, laboratory, manufacturing, and supply-chain data. I created curated Synapse models, dimensional marts, and cross-cloud AWS workloads for regulated analytics.
At TD Securities, I supported capital-markets pipelines for trades, positions, pricing, P&L, risk, settlements, and regulatory reporting across Hadoop and AWS. I use Python, SQL, PySpark, cloud orchestration, and performance tuning to turn high-volume data into reliable analytics-ready datasets.
