GCP Pipeline on (Pub/Sub → Dataflow → BigQuery)

If you are preparing for Data Engineering or Google Cloud interviews, simply knowing tools is not enough. Interviewers expect you to explain real data pipelines and architecture.

This hands-on project guide walks you through building a real-time streaming pipeline on Google Cloud from scratch.

Architecture Covered:

Pub/Sub → Dataflow → BigQuery

Through this project you will understand how streaming data moves across systems and how modern cloud data platforms process real-time events.

Bonus: Resume Tip

You can showcase this project on your resume like this:

Built a real-time streaming data pipeline on Google Cloud using Pub/Sub, Dataflow, BigQuery, and Cloud Storage.

This helps demonstrate practical cloud data engineering experience to recruiters.

Who This Is For

Aspiring Data Engineers

Data Analysts moving into Data Engineering

Professionals preparing for GCP Data Engineer roles

Students building cloud data projects

Anyone preparing for Data Engineering interviews

What You Will Receive

A detailed step-by-step project guide explaining how to build a real-time streaming data pipeline on Google Cloud using Pub/Sub, Dataflow, and BigQuery.

If you are preparing seriously for Data Engineering interviews, you can also explore my advanced resources including company-specific interview questions, job-ready pipelines, and GCP preparation material available on my profile.