Apache Airflow is a workflow orchestration platform that schedules, monitors, and executes complex data pipelines. At the advanced level, you design and operate Airflow at production scale — managing thousands of concurrent tasks, ensuring fault tolerance, integrating with Kubernetes, and monitoring SLAs. Airflow separates the orchestration layer (scheduling, retries, parallelism) from the task layer (Python, SQL, APIs). Advanced practitioners write idempotent, self-documenting DAGs, optimize database performance, and build deployment pipelines that enable rapid iteration without downtime.