This roadmap is for absolute beginners.
We start with Python first, then SQL, and then move step by step.
Level 0 · Foundations (Start Here)
Start here if you don’t know anything about Data Engineering.
- What is data?
- How companies use data
- Data Analyst vs Data Engineer vs Data Scientist
- Basic idea of databases
Level 1 · Python for Data
What you should learn
- Variables, loops, functions
- Working with CSV & Excel files
- Pandas basics (DataFrame)
- Data cleaning logic
Recommended Resources
Practice & Notes
Level 1 · SQL
What you should learn
- SELECT, WHERE, ORDER BY
- GROUP BY & aggregate functions
- Joins
- Subqueries & CTEs
Recommended Resources
Practice & Notes
Level 2 · Data Engineering Basics
Learn how data flows in real-world systems.
- What is Data Engineering?
- ETL vs ELT
- What is a data pipeline?
- Batch vs streaming data
Level 3 · Tools & Workflow
Tools that Data Engineers use daily.
- Git & GitHub basics
- Linux commands
- Data formats (CSV, JSON)
Level 4 · Advanced & Industry Ready
Do this only after completing all previous levels.
- Data modeling concepts
- Advanced SQL optimization
- End-to-end data engineering projects