ETL Pipeline Tutorial on GCP | Hands-On Demo with Airflow & Cloud Composer | Part 3

🚀 ETL Pipeline Tutorial on GCP | Hands-On Demo with Airflow & Cloud Composer (Part 3) ETL pipelines in GCP:    • ETL pipelines in GCP   In this third part of the ETL pipeline series, dive deep into the orchestration layer of your data pipeline using Apache Airflow and Cloud Composer on Google Cloud Platform (GCP). This hands-on demo walks you through building, scheduling, and monitoring your data workflows with Airflow — all within the fully managed Cloud Composer environment. Learn how to automate complex ETL pipelines and keep them reliable, scalable, and production-ready. 🔍 In This Demo, You'll Learn: How to set up Cloud Composer on GCP Creating DAGs (Directed Acyclic Graphs) in Airflow to manage ETL steps Integrating Airflow with Cloud Storage, BigQuery, and other GCP services Monitoring, debugging, and scheduling data pipelines Best practices for orchestration in production data workflows 📌 Who Should Watch This? Aspiring Data Engineers Cloud Engineers / Architects Developers working with orchestration tools Anyone looking to automate and manage data pipelines on GCP 🛠 Tech Stack & Tools Used: Google Cloud Composer (Apache Airflow) Google Cloud Storage BigQuery Cloud Functions (for triggering tasks) Looker (for dashboards and visualizations) 📚 Beginner-Friendly: No prior Airflow or GCP orchestration experience needed! This demo builds on Parts 1 and 2 but is designed to be easy to follow even if you're just starting out. 👉 GitHub Repo with Code & Resources: https://github.com/srbsnkr/ETL-pipeli... 👍 Like the video if it helps, and subscribe for more tutorials on Data Engineering & Cloud Technologies!