airflow-expert

What problem does it solve?

This Skill provides expert-level guidance and code examples for designing, implementing, and managing complex data pipelines using Apache Airflow.

Core Features & Use Cases

• DAG Design: Create robust and maintainable Directed Acyclic Graphs (DAGs).
• Task Orchestration: Define complex task dependencies, branching, and dynamic task generation.
• Operators & Sensors: Utilize a wide range of built-in and custom operators and sensors for various integrations.
• XComs & Communication: Implement effective inter-task communication.
• Production Best Practices: Learn about error handling, retries, idempotency, and security.
• Use Case: Develop a daily ETL pipeline that extracts data from multiple sources, transforms it, and loads it into a data warehouse, ensuring reliability and proper error handling.

Quick Start

Generate a basic PythonOperator task within an Airflow DAG that prints 'Hello Airflow'.