Complete Data Engineering Bootcamp: SQL, ETL & Data Pipeline

Build Real-World Data Engineering Skills Using SQL, ETL, Data Pipelines, and Modern Data Architecture, From Beginner to

What you’ll learn
✓ Build strong data engineering foundations, including data pipelines, ETL/ELT concepts, and real-world data workflows
✓ Use SQL and Python to extract, transform, and load data efficiently for analytics and reporting
✓ Work with big data tools such as Apache Spark and understand batch and streaming data processing
✓ Design and implement an end-to-end data engineering project using cloud storage and data warehouses

Requirements
● Basic computer skills are required; no prior data engineering experience is needed as everything is explained from scratch

Description
Data Engineering is one of the most in-demand skills in today’s data-driven world. Organizations rely on data engineers to collect, transform, organize, and prepare data so analysts, data scientists, and decision-makers can generate valuable insights.

This course is designed to take you from complete beginner to advanced level in Data Engineering through a structured and practical learning path.

Instead of focusing only on theory, this course emphasizes hands-on learning, real datasets, and practical business scenarios so you can build the skills that companies actually need.

Throughout this course, you will learn how data engineers design data systems, build pipelines, and transform raw data into clean and reliable datasets that support business decisions.

You will start by learning the fundamentals of data engineering, then gradually move into more advanced topics including SQL for data engineering, ETL processes, data modeling, and data pipeline concepts.

Every concept is explained clearly and supported with practical examples and step-by-step demonstrations, helping you develop real-world skills.

By the end of this course, you will understand how modern data systems work and how data engineers manage data workflows in real organizations.

What You’ll Learn

• Understand the role of a Data Engineer in modern data-driven organizations
• Learn SQL from beginner to advanced level for real-world data analysis and transformation
• Use advanced SQL techniques such as joins, subqueries, aggregations, and window functions
• Understand and implement ETL (Extract, Transform, Load) processes
• Learn how to design and understand data pipelines used in real-world systems
• Apply data modeling and relational database design principles
• Create and use views, temporary tables, and stored procedures
• Write optimized SQL queries for better performance on large datasets
• Understand data warehousing concepts and modern data architecture
• Work with real business scenarios and practical datasets

Requirements

• Basic computer knowledge
• A laptop or computer to practice the examples
• Interest in learning how data systems and data pipelines work

No prior data engineering experience is required. Everything in this course is explained step-by-step from beginner level.

Who this course is for
■ Beginners who want to start a career in data engineering and learn from the fundamentals to advanced concepts
■ Data analysts, software developers, or IT professionals looking to transition into data engineering roles
■ Students and professionals who want hands-on experience building real-world data pipelines and projects

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