Instructor
Shubham Dubey
Data Engineering & AI Trainer
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.
10,000Students
0Courses
Course Overview
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
Course Curriculum
- What is Data?
- What is Data Engineering?
- Why Do We Need Data Engineering?
- Data Engineering Lifecycle
- Source → Ingestion → Storage → Processing → Warehouse → BI
Frequently Asked Questions
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. Build Real-World Pipelines. Become Job-Ready.?
Talk to a counselor and find out which batch fits your schedule and goals.