6 courses · 2 available now · 4 coming soon · 1 free
Design and build production data pipelines with Spark, Airflow, dbt, and warehouse workflows.
A practical starter workflow for technical learners using VS Code, WSL, Ubuntu, and terminal-first project work.
Build modern lakehouse architectures with Spark, Delta Lake, and Databricks for unified batch and streaming processing.
Design event-driven architectures and real-time data pipelines using Kafka, Kafka Streams, and Confluent Platform.
Implement analytics engineering best practices using dbt for transformations, Snowflake for warehousing, and Fivetran for ingestion.
Build, schedule, and monitor complex data pipeline DAGs using Apache Airflow with production deployment best practices.