Developed two Airflow DAGs for the omar-gamal99/talabat_bootcamp repository, focusing on onboarding validation and automated data transfer between PostgreSQL and Google BigQuery. The first DAG established a daily scheduled workflow to verify Airflow setup, supporting onboarding and environment validation. The second DAG automated an ETL pipeline by exporting a PostgreSQL table to CSV in Google Cloud Storage, loading it into BigQuery with schema auto-detection, and cleaning up temporary files. Leveraging Python, Airflow, and Google Cloud Platform, these solutions provided a repeatable deployment pattern and reduced manual intervention, laying a foundation for reliable analytics and streamlined backend data operations.