At Providence Health & Services, I own engineering and technical strategy for enterprise BI and data architecture, supporting a platform tied to $50M+ in annual revenue. I manage a $2M–$3M annual budget and vendor spend.
I directed Enterprise AI, Generative AI, and Agentic AI adoption across a 4,500+ user analytics platform, improving forecast accuracy by 18% and informing $70M in revenue-impacting decisions. I also architected an Agentic AI orchestration pipeline in Microsoft Copilot Studio, coordinating seven specialized agents through Power Automate to translate software requirements into deployable Azure and OCI architectures.
I built and scaled the data engineering and BI organization from one to 30+ engineers, and led migrations to Azure, Oracle, and Snowflake that reduced infrastructure costs by 25%. I also enabled self-service analytics for 2,000+ users, reducing turnaround time by 50%.
Earlier at Providence Health & Services, I designed Azure and Snowflake data platforms and optimized ETL/ELT processing, reducing processing time by 60%. Across roles with Wallero Technologies, Mindtree LTD, Tech Mahindra LTD, and Dell International Services, I delivered data warehousing, BI, and data-migration work for healthcare, technology, and telecom environments.
