Master Data Engineering

Name: Master Data Engineering
Availability: InStock

Build the skills to design, develop, and manage modern data pipelines with the DataWithCS Data Engineering Career Program. This practical, career-focused program takes you from core Data Engineering concepts to real-world data workflows. You’ll work with SQL, Python, databases, ETL/ELT, data warehousing, data modeling, PySpark, Apache Spark, cloud technologies, and modern data engineering practices. Through hands-on exercises and portfolio-ready projects, you’ll learn how to extract data from different sources, transform and validate it, build reliable pipelines, process large datasets, and prepare data for analytics and business intelligence. You’ll also develop practical problem-solving skills through SQL and Python practice, Data Engineering challenges, technical interview preparation, and project-based learning. By the end of the program, you’ll have a structured understanding of the Data Engineering lifecycle and practical projects that demonstrate your ability to work with real-world data systems.

Highlights

Practical, project-based learning
End-to-end data pipeline development
Advanced SQL & Python
ETL/ELT & data warehousing
PySpark & Apache Spark
Cloud & modern data engineering concepts
SQL/Python interview practice
Portfolio-ready projects

Learning Outcomes

Design and build end-to-end data pipelines
Extract, transform, validate, and load data
Write advanced SQL queries
Use Python for data engineering workflows
Design data warehouse models
Process large datasets using PySpark
Work with APIs and multiple data sources
Apply data engineering concepts through real-world projects
Prepare for technical Data Engineering interviews

What is Data?
What is Data Engineering?
Why Do We Need Data Engineering?

Data Engineering Lifecycle
Source → Ingestion → Storage → Processing → Warehouse → BI

Shubham Dubey

Data Engineering & AI Trainer

7+ years experience
10,000 students trained

Shubham Dubey is a Data Engineering & AI Trainer with professional experience associated with organizations including Fractel, Adani, EY, and TCS. He focuses on practical, industry-oriented learning and helps learners understand data engineering concepts through hands-on examples, projects, and problem-solving.

At DataWithCS, Shubham focuses on Data Engineering and AI learning, helping students build practical skills and develop a strong foundation for working with modern data technologies.

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The Data Engineering Career Program is a practical, career-focused course designed to help learners understand how data is collected, transformed, processed, stored, and prepared for analytics and business use.

The course is suitable for aspiring Data Engineers, students, fresh graduates, working professionals, and Data Analysts who want to develop practical Data Engineering skills.

No. The program is structured to build your understanding progressively. Basic programming and SQL knowledge is recommended, and course-specific prerequisites are provided before enrollment.

You will learn SQL, Python, databases, ETL/ELT, data pipelines, data warehousing, data modeling, PySpark, Apache Spark, cloud concepts, and practical Data Engineering workflows.

Yes. The program includes hands-on projects designed to help you apply Data Engineering concepts and build practical portfolio experience.

Ready to start Master Data Engineering?

Talk to a counselor and find out which batch fits your schedule and goals.

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Highlights

Practical, project-based learning
End-to-end data pipeline development
Advanced SQL & Python
ETL/ELT & data warehousing
PySpark & Apache Spark
Cloud & modern data engineering concepts
SQL/Python interview practice
Portfolio-ready projects

Learning Outcomes

Design and build end-to-end data pipelines
Extract, transform, validate, and load data
Write advanced SQL queries
Use Python for data engineering workflows
Design data warehouse models
Process large datasets using PySpark
Work with APIs and multiple data sources
Apply data engineering concepts through real-world projects
Prepare for technical Data Engineering interviews

What is Data?
What is Data Engineering?
Why Do We Need Data Engineering?

Data Engineering Lifecycle
Source → Ingestion → Storage → Processing → Warehouse → BI

Shubham Dubey

Data Engineering & AI Trainer

7+ years experience
10,000 students trained

At DataWithCS, Shubham focuses on Data Engineering and AI learning, helping students build practical skills and develop a strong foundation for working with modern data technologies.

View LinkedIn profile

Course Overview

Highlights

Learning Outcomes

Course Curriculum

Meet your instructor

Shubham Dubey

Frequently Asked Questions

Ready to start Master Data Engineering?

Master Data Engineering

Course Overview

Highlights

Learning Outcomes

Course Curriculum

Meet your instructor

Shubham Dubey

Frequently Asked Questions

Ready to start Master Data Engineering?