At Elevance Health, I architected AWS data platforms processing healthcare claims, eligibility, provider, and member data. I modernized legacy and Azure workloads into AWS cloud-native architectures, improving scalability by 40% without disrupting downstream reporting.
I built batch and streaming pipelines and lakehouse workflows for healthcare analytics, reducing batch processing time from six hours to under two and claims-monitoring latency by 60%. I also improved data quality and reduced annual cloud costs by more than $250K.
Previously, I developed Azure data pipelines at Humana and supported data development at Pfizer. At Technova Global, I developed Python and SQL solutions for data processing and reporting. My work spans healthcare, pharmaceuticals, and enterprise data environments, with a focus on reliable, governed data platforms.
