Databricks Data Engineering and Lakehouse

Databricks Data Engineering and Lakehouse Pipelines is an intermediate-level, industry-aligned course designed to help learners build production-ready data pipelines using Databricks, Spark, Delta Lake, Lakeflow, and Unity Catalog. This course moves beyond basic notebooks and teaches learners how modern data engineering teams design reliable lakehouse pipelines from ingestion to serving. Learners will understand how to ingest batch, incremental, and streaming data; structure data using Bronze, Silver, and Gold layers; apply Delta Lake reliability features; manage schema evolution; enforce data quality gates; orchestrate workflows; govern data assets; optimize performance and cost; and monitor pipelines for production reliability. The course is built for learners who want to become confident Databricks data engineers capable of working on real enterprise data platforms. It emphasizes practical engineering decisions, reusable pipeline design, governance discipline, CI/CD readiness, observability, and operational best practices. By the end of the course, learners will be able to design, build, govern, optimize, and operate intermediate Databricks lakehouse pipelines with enterprise-grade discipline.