This course is designed to equip you with the skills needed to become a certified Databricks Data Engineer Associate. Starting with an introduction to Databricks, you will explore its role in modern data engineering and its integration with Apache Spark. From understanding basic data processing operations to building powerful data pipelines, you’ll gain hands-on experience in Spark architecture and execution, Delta Lake for data management, and the use of Databricks’ advanced features like Unity Catalog for governance and Delta Live Tables for orchestration. You’ll dive deep into Spark fundamentals, learning about data transformations, actions, and lazy evaluation, followed by the performance optimization techniques essential for data-heavy applications. The course also covers crucial data warehousing concepts like OLAP and OLTP, along with Delta Lake’s ACID transactions and time travel for data management. Through practical demonstrations, you will learn how to sign up for Databricks, create and manage notebooks, ingest and transform data, and optimize performance using partitions and parallelism. The course culminates in a comprehensive capstone project that ties everything together, giving you the experience and knowledge to pass the Databricks Certified Data Engineer Associate exam and excel in data engineering tasks.