I specialize in high-scale data infrastructure and agentic AI workflows. At McLaren Construction I've been pioneering LLM-orchestrated engineering — multi-agent frameworks that translate technical requirements into production Microsoft Fabric workspaces, and that reduced our Oracle-to-lakehouse migration cycle from 20 days to 5.My background spans platform engineering, MCP-based autonomous systems, Python/PySpark orchestration, and Medallion architectures. I focus on merging engineering rigor with AI governance to drive measurable business impact — and I'm looking for Staff or Lead roles to own AI-infrastructure strategy and next-generation data architecture.
75%Cut on Oracle→lakehouse migration cycle
90%Reduction in cloud compute spend
20+Production pipelines, millions of records/day
99.9%Airflow pipeline reliability