GCP Data Engineering Realtime Project: Weather API → GCS → BigQuery Cloud Composer (Part 2) Demo

"Real-Time Weather Data Pipeline on GCP | Cloud Composer + BigQuery + GCS Automation"

"Build a Fully Automated Weather ETL Pipeline on Google Cloud (Step-by-Step)"

"GCP Data Engineering Project: Weather API → GCS → BigQuery Using Cloud Composer"

"End-to-End Data Pipeline on GCP | API to BigQuery | Perfect for Beginners!"

"Automated Weather Data Pipeline with Cloud Composer | Real-Time ETL on GCP"

"Google Cloud Data Engineering Project | Cloud Composer DAG Tutorial"

"Weather API to BigQuery Pipeline on GCP | Full Hands-On Project"

"Learn Cloud Composer in 20 Minutes | Build a Real Data Pipeline"

"GCP BigQuery Automation with Cloud Composer | Fetch & Load API Data"

"API Ingestion Pipeline Using Cloud Composer | Data Engineer Project"

In this video, you will learn how to build a fully automated real-time Weather Data Pipeline on Google Cloud Platform (GCP).
We use Cloud Composer (Airflow) to schedule a workflow that:

✔ Fetches data from Open-Meteo API
✔ Stores JSON into Google Cloud Storage (GCS)
✔ Loads the data into BigQuery
✔ Runs automatically every hour
✔ Auto-creates bucket & tables (no manual setup required!)

This is a perfect Data Engineering Project for beginners preparing for:
🔹 GCP Data Engineer Interviews
🔹 Cloud Data Pipeline Projects
🔹 Portfolio Projects
🔹 Real-time API ingestion pipelines

🚀 Technologies Used

Google Cloud Composer (Airflow)

Google Cloud Storage (GCS)

BigQuery

Python

Weather API (Open-Meteo)

XCom & DAG Scheduling



Code
https://docs.google.com/document/d/e/...


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