Most data engineering professionals spend years building pipelines but never get exposure to how enterprise-grade data and AI platforms are actually designed, scaled, governed, and optimized. Over the last 15+ years, I’ve worked across enterprise data engineering, analytics architecture, Spark ecosystems, AWS, Databricks platforms, marketing analytics systems, and modern AI-enabled data architectures. I currently lead large-scale data engineering initiatives and mentor experienced professionals who want to transition into higher-impact technical and leadership roles. Areas I focus on: • Enterprise Databricks Architecture • Spark Performance Optimization • AI + RAG Systems • Lakehouse Design Patterns • Enterprise System Design • Technical Leadership Growth • Senior Engineer → Architect/Manager Transition My mentoring style is practical and enterprise-focused — centered around real-world scalability, architecture tradeoffs, platform strategy, governance, and production-grade engineering practices. This profile is primarily focused on experienced professionals (4+ YOE) who want to think beyond tools and operate at an architecture and strategic systems level.