π οΈβ±οΈ Apache Airflow DAG Template Bundle
Accelerate your workflow automation with the Apache Airflow DAG Template Bundle β a collection of production-ready DAG (Directed Acyclic Graph) templates built to simplify data pipeline orchestration. Designed for data engineers, analysts, and DevOps teams, these templates help you deploy reliable, scalable, and maintainable workflows in minutes.
π¦ Whatβs Included
β’ Pre-built DAG templates for:
β ETL jobs (data ingestion, transformation, and loading)
β API data pulls and scheduled syncs
β File system and cloud storage monitoring (S3, GCS, etc.)
β Database backups and exports
β Email and Slack notifications
β’ Modular, reusable task definitions using Python and Jinja
β’ Airflow best practices guide (naming conventions, retries, SLAs, etc.)
β’ Config-ready examples for local, Celery, and Kubernetes executors
β’ Parameterization and environment-specific settings
β’ Bonus: Custom operator/snippet library
π Key Benefits
β’ Saves hours of DAG development time
β’ Promotes clean, scalable, and well-documented workflows
β’ Reduces production bugs with tested, reusable templates
β’ Easy integration with your existing data stack (Postgres, Snowflake, BigQuery, etc.)
β’ Ideal for onboarding new engineers quickly
π₯ Perfect For
β’ Data engineers and analysts
β’ ML/AI teams automating model pipelines
β’ DevOps and infrastructure teams managing workflows
β’ Startups and enterprises scaling data operations
π Format & Delivery
β’ Digital download (Python files, config examples, and documentation PDFs)
β’ Ready to drop into your Airflow dags/ directory
β’ Instant access upon purchase
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