FREE Guide: Real-Time GCP Streaming Pipeline with Diksha Chourasiya

Stop learning GCP in theory. Build a real-time streaming pipeline you can confidently explain in interviews.

Knowing the names of GCP services is not enough to clear a Data Engineering interview. Interviewers want to hear how data actually moves through a pipeline and why it was designed that way. This free, hands-on guide walks you through building one on Google Cloud from scratch.

Architecture You Will Build

Pub/Sub → Dataflow → BigQuery

What You Will Learn

• How streaming data is ingested with Pub/Sub
• How Dataflow processes real-time events
• How processed data lands in BigQuery for analysis
• How to walk an interviewer through the end-to-end architecture

What You Get

• A detailed, step-by-step project guide to build the pipeline
• A ready-to-use resume line to showcase the project

Resume Line Included

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

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

About the Creator

Created by Diksha Chourasiya, Senior Data Engineer with 6+ years of experience designing data pipelines on Google Cloud, and a GCP educator to a 20K+ LinkedIn community.

Ready to go deeper? Explore the Job-Ready GCP & Airflow Pipeline projects, GCP Interview Questions and Company-Wise Data Engineering Interview Questions on this profile.