Data Engineering is one of the fastest-growing and highest-paying roles in tech — and this course is your complete roadmap to breaking in. Whether you're a student, a fresh graduate, or switching from another field, this course is designed to take you from zero experience to production-ready data engineer in 24 structured classes.
You'll start with the fundamentals — Linux, Docker, and Python — then progressively build up to advanced database engineering with PostgreSQL and PL/pgSQL, dimensional modeling and Data Warehouse design, and full ETL pipeline development with real-world projects.
In the second half, you'll master distributed systems. Apache Spark for large-scale batch and streaming processing, and Apache Kafka for real-time event pipelines. Every section ends with a hands-on project, and the course closes with a full capstone — a live Kafka + Spark + PostgreSQL pipeline deployed with Docker Compose.
Your instructor, is a Senior Data Engineer with 6+ years of industry experience, where he has built production ETL systems, data warehouses, and real-time pipelines at scale.