This course is designed to help learners develop practical data engineering and analytics skills using two of the most powerful technologies in the modern data ecosystem: PySpark and Databricks. This course provides a comprehensive introduction to distributed data processing, large-scale analytics, and cloud-based data engineering workflows used by organizations to manage and analyze massive datasets efficiently. The course explores Apache Spark architecture, data ingestion, ETL workflows, Delta Lake, performance optimization, and real-world data engineering practices used in enterprise environments.