Design and manage scalable data pipelines using Apache Spark, AWS data lakes, and Apache Airflow. Gain the skills to process, store, and orchestrate large-scale data in cloud environments.
This course guides learners through the practical implementation of big data processing and pipeline orchestration. You will work with Apache Spark to analyze real-world datasets, build and query data lakes on AWS, and automate workflows using Apache Airflow. By mastering these industry-standard tools, you will be prepared to create robust, production-ready data pipelines that support analytics and business intelligence. Through a blend of conceptual overviews, step-by-step walkthroughs, and knowledge checks, the course emphasizes both the architecture and hands-on use of Spark, AWS, and Airflow. Learners gain confidence in building end-to-end data solutions in modern cloud environments. This course is part two of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on The Data Engineering Bootcamp: Zero to Mastery, by Ivan Mushketyk. Copyright © 2026 Zero To Mastery Inc., Ivan Mushketyk 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.
