Modern data platforms are evolving beyond traditional ETL pipelines. With Databricks and AI, data engineers can automate repetitive tasks, improve data quality, optimize performance, and build scalable analytics platforms faster than ever before.

In this session, I'll demonstrate practical techniques for designing enterprise-grade data platforms using Databricks. We'll cover Delta Lake, Apache Spark optimization, medallion architecture, data quality, pipeline automation, AI-assisted development, and cost optimization strategies that help teams build reliable, high-performing solutions.

Whether you're modernizing an existing platform or building one from scratch, you'll leave with practical patterns, real-world lessons, and techniques you can immediately apply to your own data engineering projects.