Master PySpark for Data Engineering

PySpark for Data Engineering | AWS, Azure, GCP & Snowflake

Are you ready to become a job-ready Data Engineer by mastering PySpark and real-world data pipelines across multi-cloud platforms?

This course is designed to take you from fundamentals to advanced concepts in PySpark, while building end-to-end data engineering solutions using AWS, Azure, GCP, and Snowflake — exactly what companies expect in real projects.

What You Will Learn

• Master PySpark from basics to advanced
• Build real-time and batch data pipelines
• Work with large-scale distributed data processing
• Perform ETL (Extract, Transform, Load) using PySpark
• Integrate PySpark with:
  • Amazon Web Services (AWS Glue, S3, EMR)
  • Microsoft Azure (Data Factory, Databricks)
  • Google Cloud Platform (Dataproc, BigQuery)
  • Snowflake (Cloud Data Warehouse)
• Optimize Spark jobs for performance and scalability
• Work with real-world datasets and scenarios

Real-Time Projects Included

This course is not just theory — you will build industry-level projects, such as:

• End-to-end ETL pipeline using PySpark + AWS Glue
• Data ingestion pipeline with Azure Data Factory + Databricks
• Batch & streaming pipeline using GCP Dataproc
• Data warehousing solution using Snowflake

Why This Course is Different

• Covers Multi-Cloud Data Engineering (AWS + Azure + GCP)
• Focus on real-time industry use cases
• Designed for job-oriented learning
• Step-by-step explanation with hands-on practice
• Covers performance tuning & optimization

Who This Course is For

• Aspiring Data Engineers
• Python developers moving to Big Data
• ETL developers who want to learn PySpark
• Professionals preparing for Data Engineering interviews
• Anyone who wants to work with Big Data & Cloud Platforms

Prerequisites

• Basic knowledge of Python
• Basic understanding of SQL (recommended but not mandatory)
• No prior experience in PySpark required

By the End of This Course

You will be able to:

Build scalable data pipelines using PySpark
Work on real-time cloud-based data engineering projects
Confidently handle big data processing
Crack Data Engineering interviews

Start Your Data Engineering Journey Today!

If you want to build a strong career in Data Engineering with PySpark and Cloud, this course is your complete roadmap.

Instructor

Akkem Sreenivasa
Data Engineering Expert | AWS Certified | 16+ Years Experience