Introduction

Many people step out of the Data Engineering learning journey because everything feels confusing, slow, and overwhelming. But the real problem isn’t the tools, it’s the lack of a clear purpose and a clear path.

To solve this problem, I created this roadmap. It has 6 simple steps.
Let’s go through them one by one.

Step 1 (Purpose)

Before anything else, you must know your purpose.
If your goal is to get a job, then the first thing you need is a resume.

Your resume gives you direction.
It works like your vision board.

Here’s what you should do:

• Add all the skills you currently know

• Add any projects you have done

• If you don’t have Data Engineering skills yet, start learning and keep updating your resume

• This helps you track your progress

• It reminds your mind why you are learning

Feel free to use my resume as a template when creating your own.

Step 2 (Why Data engineering )

Before you start learning, understand why Data Engineering is important and what problems it solves.

These two videos will help you clearly understand:

• Why Data Engineering? and the End to end flow.

• what problems it solves?

Step 3 (Programming)

SQL is the foundation of every Data Engineer job. use w3 schools to learn the below topics.

SQL

• SELECT

• WHERE

• GROUP BY vs HAVING

• DATE functions

• WINDOW functions

• SUB-QUERY vs CTE

• VIEWS

Practice SQL:

Python

Do NOT learn everything in Python. just learn the below topics using w3 schools

Basics:

• Variables, identifiers

• Loops

• String handling

• Functions & methods

• Data structures: list, tuple, set, dictionary

• Exception handling

• File handling (CSV, Excel)

• Pandas basics

Project:

Step 4: (Learn Core Data Engineering Tool)

Apache Spark

Your main tool for big data processing.

STEP 5: Build Projects

Build projects in both AWS and Azure so you can attend interviews for both. Today, many HR teams look for “Azure Data Engineers” or “AWS Data Engineers,” but they don’t realize that most cloud tools are similar and only the UI changes. If your data engineering foundation is strong, you can adapt to any cloud platform.

Azure-based DE Project:

AWS-based DE Project Playlist:

STEP 6: Attend for Interviews

Apply on Job portals.

Final Advice

• Start simple & action

• Don’t learn everything

• Don’t quit - vision is important.

Stick to this plan, avoid distractions, and trust the process. All the best.