Automated Airflow DAG Run Monitoring and Error Handling Workflow

This workflow automates the monitoring of Airflow DAG runs by triggering on webhook events, checking execution states, and managing delays or failures. It uses conditional logic to detect errors or excessive waiting periods, ensuring timely notification and robust error handling for data pipeline operations.