Highly accomplished Principal Data Engineer and AI Data Platform Product Owner with over 18 years of experience specializing in high-throughput ETL/ELT architecture, advanced data modeling, and automated pipeline design. A technical strategist who focuses deeply on optimizing complex data structures and implementing Medallion Layered Architectures (Raw, Silver, Gold layers) to deliver governance-clean, high-fidelity reference data. Proven track record of architecting scalable, zero-maintenance data infrastructures that eliminate systemic data friction and seamlessly feed AI MCP servers, large language models (LLMs), and predictive analytics platforms. Expert at bridging the gap between legacy infrastructure and modern cloud-native systems, utilizing AWS (Glue, Lambda, Bedrock, Textract), Databricks, Spark, and Snowflake to orchestrate real-time and configuration-driven data pipelines for enterprise-level applications.