Udemy – The Complete Data Engineering Bootcamp with PySpark 2025-6

Udemy – The Complete Data Engineering Bootcamp with PySpark 2025-6 Downloadly IRSpace

Aug 17, 2025 - 02:40 Updated: Aug 19, 2025 - 14:35

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Udemy – The Complete Data Engineering Bootcamp with PySpark 2025-6

The Complete Data Engineering Bootcamp with PySpark is a course on building, managing, and optimizing modern data pipelines using PySpark, published by Udemy Online Academy. It is a comprehensive program designed to equip learners with the skills needed to build, manage, and optimize modern data pipelines using PySpark. The course covers fundamental concepts in data engineering, including data ingest, transform, store, and organize, and provides hands-on projects simulating real-world workflows. Students learn to work with large-scale datasets, integrate data from disparate sources, and apply industry best practices for scalability, performance, and reliability. The course also introduces cloud integration, distributed computing principles, and advanced PySpark techniques for big data processing.

This course shows you exactly what professional data engineers do using the tools, frameworks, and workflows used in real production environments. It teaches PySpark fundamentals, large-scale data ingestion, ETL processes, data transformation, data storage optimization, distributed computing fundamentals, workflow tuning, implementing real-world big data projects, cloud-based data engineering integration, and performance tuning techniques to prepare learners for professional data engineering roles.

What you will learn in The Complete Data Engineering Bootcamp with PySpark:

Set up a complete data stack: Docker, Spark, Airflow, HDFS, Jupyter
Build and deploy PySpark ETL jobs using the DataFrame API and Spark SQL.
Build and deploy PySpark pipelines with Airflow and cron
Professional project organization with scripts, configuration files, environment shells, and Git.
Simulate authentic data engineering workflows: Git branching, code reviews, ticket-based deployments.
And…

Course specifications

Publisher: Udemy
Instructors: Chandra Venkat
Language: English
Level: Introductory to Advanced
Number of Lessons: 36
Duration: 5 hours and 32 minutes

Course topics

The Complete Data Engineering Bootcamp with PySpark Content

The Complete Data Engineering Bootcamp with PySpark Prerequisites

Basic Python knowledge
Familiarity with SQL is helpful but not mandatory.
No prior experience with Spark, Docker, or Airflow is required; everything is taught step-by-step
A computer with at least 8 GB RAM (for Docker setup)