This course guides you through creating an end-to-end GCP data engineering pipeline. Master BigQuery layering, PySpark processing, and Airflow orchestration with hands-on exercises. Apply CI/CD and cloud best practices for real-world data workflows.
In this course you will Gain practical expertise in building data pipelines on Google Cloud Platform for retailer data. You will learn to ingest, transform, and store data efficiently using Dataproc, PySpark, and Google Cloud Storage. The course emphasizes real-world workflows, enabling you to handle complex data challenges and prepare datasets for analysis and business insights. The curriculum walks you through Bronze, Silver, and Gold layers in BigQuery, showing how raw data evolves into structured, high-quality datasets. You will configure Airflow DAGs to automate and orchestrate workflows while implementing CI/CD pipelines with GitHub and Cloud Build. Each step is demonstrated in a hands-on format, allowing you to follow along and apply techniques to similar scenarios. By the end, you will have a fully functional data engineering project that integrates ingestion, transformation, orchestration, and deployment processes. This experience equips you to design scalable, efficient pipelines and understand the end-to-end lifecycle of cloud-based data projects. The course prepares you to apply these skills in professional settings, enabling actionable insights and data-driven decision-making. This course is for aspiring and current data engineers and cloud professionals seeking hands-on experience with end-to-end GCP pipelines. It covers data ingestion, transformation, orchestration, and deployment using Dataproc, PySpark, BigQuery, and Airflow. Learners should know basic SQL, Python, and cloud concepts. Learn by building a practical retailer data project on GCP. Modules combine theory with hands-on exercises to reinforce skills. Stepwise guidance ensures learners develop confidence in executing end-to-end data workflows. This course is based on The Complete GCP Data Engineering Project - Retailer Domain, by Shaik Saidhul. Copyright © 2025 Shaik Saidhul All rights reserved. No part of this course may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.
