Are you ready to become a Databricks Certified Data Engineer Associate and gain the skills to design, build, and optimize modern data solutions? This course is your complete pathway — combining all theory concepts from the official exam syllabus with real IT company end‑to‑end projects that prepare you for both certification and real‑world success. You’ll start by mastering the Databricks Lakehouse Platform, Delta Lake fundamentals, and Unity Catalog governance. From there, you’ll dive into data ingestion pipelines using Auto Loader, COPY INTO, and Lakeflow Connect, while applying schema enforcement, partitioning, and optimization strategies.
Next, you’ll transform and model data with Spark SQL and PySpark, implementing the Medallion architecture (Bronze, Silver, Gold layers), joins, aggregations, pivots, and Slowly Changing Dimensions. You’ll then orchestrate workflows with Lakeflow Jobs, configure triggers and alerts, and monitor execution with logs and metrics. The course also covers CI/CD best practices with Git, Databricks Asset Bundles, CLI, and REST APIs, ensuring you can deploy and manage pipelines seamlessly. You’ll learn to troubleshoot Spark jobs, optimize Delta tables, and integrate with Azure Monitor for proactive workload management.
