At Farmers Insurance, I develop data products and batch and streaming pipelines for policy, customer, claims, service, and insurance analytics. I improved selected batch-processing windows from approximately five hours to under three and a half.
I also build Snowflake models and dbt transformations for reporting datasets, and create curated data layers for Power BI and Tableau. Tuning selected workloads contributed to approximately $100K+ in annualized compute and processing savings.
At Agilon Health, I developed Azure-based healthcare pipelines and Python and PySpark processes for clinical, claims, eligibility, provider, and member data. I helped reduce selected daily processing windows from approximately five hours to under three, and supported FHIR-based clinical data integration.
Earlier, at Astrana health, I supported healthcare ETL and reporting workflows, and at Wells Fargo I supported Google Cloud database environments. I hold AWS Certified Data Engineer – Associate, Microsoft Certified: Azure Fundamentals, and Databricks Certified Data Engineer Associate certifications.
