The Only Roadmap You Need to Become a Job-Ready Data Engineer in 2025
105+ essential tools, 9 real-world projects, AWS & GCP certification tips, and a clear step-by-step learning path — all in one proven system.
🎯 Skip the chaos. Save 100+ hours. Build your portfolio.
💥 One-time payment: $45 — no fluff, just results.
@paulaleiva.c
Hi Natalie, I wanted to thank you for the data engineer roadmap because it has helped me a lot to advance in my professional career. Today I feel like a data more prepared for new challenges thanks to you! ❤️
@aleofwellness
I really appreciate your efforts towards making such useful content
@alexiscorico
I really liked the recommendations you made in the road map.
@aniketkandhari
Hey Natalie I wanted to thank you for this roadmap. I was looking for resources online but never actually got a structured path. SO this, I feel would surely give me a direction I needed.
✅ What's Inside the Roadmap
📘 1. Structured Learning Path$120
105+ key tools & concepts explained step-by-step, with clear focus on what to learn first.
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No more guesswork – only what matters for a real data job.
🎯 2. Curated Resources$70
Every topic links to handpicked courses, videos, and articles.
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Saves you 100+ hours of searching and avoids low-quality content.
🧠 3. More than 9 Real-World Projects$150
Ready-to-use examples with full implementation steps to build your GitHub portfolio.
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You won't just learn — you'll build. Employers love that.
🏆 4. Certification Guide$90
Includes exam tips, personal insights, and free practice questions for AWS & GCP.
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Cuts through the confusion and gets you certification-ready faster.
📄 5. Free CV Review$35
Professional feedback to help you stand out and land interviews.
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One of the easiest ways to boost your chances of getting hired.
🔁 6. Lifetime Updates$50
Get all future updates and new tools added regularly.
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Stay current in a fast-moving tech world.
💡 Total Value: $515
💥 You pay: only $45
🎯 One toolkit. One small payment. One big career shift.
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🧠 With or Without the Roadmap? Let's Compare.
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You need this roadmap
Aspire to switch from a non-IT career to data engineering- Are a student hesitating about which career path to pursue
- Have prior coding experience and heard of the opportunities in big data
And
Come across figures like:"The average salary in the US is $131,610, with a range from $85,604 to $202,340, as reported by Indeed (May 2023)."
Which have sparked your interest and fuelled your career aspirations.
But
Intimidated by Data Engineer tools landscape (and I'm pretty sure not all of them are listed):
My Personal Journey
Tbh, my DE career started accidentally, when I've been actively looking for Junior Python developer jobs.🤫
Then all of a sudden got an opportunity from PepsiCo:
But after some research, I've understood that DE is a highly, hiiiiighly promising career, that sweet spot between software engineering and data analysis.
So I took the leap of faith...
And now a Senior Data Engineer at TripAdvisor, AWS and Google
certified, wrangling gazillion of data.
Unfortunately, I made lots of mistakes on the way, i.e. picking the wrong technology to grasp, useless courses, getting overwhelmed by the quantity of information, and so on.
But you can Avoid All Those Mistakes
And Save Time
You have this roadmap to lead you through the data forest on the shortest path. So you can avoid all that
hustle and boost your Data Engineer career
Which tools should I study?When should I learn cloud technologies?Should I prioritize mastering SQL or Python?Is it better to learn Kafka or Airflow first?Among numerous Python courses, which one is for Data Engineer?Where can I practice advanced SQL topics?Do I need to learn Java or immediately dive into Databricks or Hadoop?Should I familiarize myself with Data Science concepts and linear regression?What pet projects should I work on?And many more questions you can have down the road
Roadmap 2025
Everything you need for $45
- 105+ tools & concepts are included
- Clear guidance on which tools & concepts to prioritize
- Each point is linked to relevant resources/courses/explanations/videos. The roadmap = Personal study plan
- It's structured, categorizing the path into sectors like Data Fundamentals, Programming Languages, Storage, Data Warehouses, AI (LLM's, Data science topics), etc.
- A comprehensive GUIDE on Data Engineering CERTIFICATIONS - AWS & GCP, my experience in passing those, exam tips and FREE practice questions (!)
- Every resource is handpicked for its value and to teach you in the best way
- Access to 9 Pet project examples. This is the most important part: you will have examples with STEP-BY-STEP implementation. I've been literally collecting those bit by bit.
- It's interactive, as I constantly find something new to add and upgrade. You stay on top of the trends. No more stale, old-school pdf's.
Frequently Asked Questions
🤔I can find free materials online. Why pay $45?
Sure, you can – but it will cost you time, overwhelm, and confusion.
This roadmap gives you a clear path, saves 100+ hours of research, and includes handpicked, up-to-date resources, real projects, and expert insights.
Time is money. For $45, you're buying clarity, speed, and results.
📚Is this a course or a learning plan?
It's a fully structured roadmap – a personal study plan with links to the best learning content out there (free and paid).
You'll know what to learn, in what order, and how to practice it with real-world projects.
🧪Are the projects really practical?
Absolutely. You'll get 9+ project examples with full step-by-step instructions – the kind you can actually add to your GitHub to show real skills.
These aren't vague "ideas" – they're tested, buildable projects that employers want to see.
🏆What about certifications?
The roadmap includes a full guide to AWS & GCP certifications – with my personal advice, exam tips, and free practice materials.
You'll know which certs are worth it and how to pass them.
📄How does the free CV review work?
After purchase, you'll get instructions on how to send your CV. I'll personally review it and give you suggestions to improve it for tech job applications.
♻️Will I get updates if the tech changes?
Yes! You'll get lifetime access to all future updates, new tools, and added content.
No more outdated PDFs – you stay ahead of the curve.
💳Is it a one-time payment? Any hidden fees?
It's a simple one-time payment of $45. No subscriptions, no upsells. Just pure value, straight to your inbox.
🎯 Ready to stop guessing and start growing?
Join hundreds of aspiring data engineers who've used this roadmap to launch their careers.
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It Helped Hundreds of Amazing People
This beautifully designed roadmap outlines the essential tools and concepts required to become a Data
Engineer. It helped many newcomers and professionals alike.
I really appreciate your efforts towards making such useful content
Thx! You have great content!! Appreciate all help you put up for fellow techies!
I really liked the recommendations you made in the road map.
Hey Natalie I wanted to thank you for this roadmap. I was looking for resources online but never actually got a structured path. SO this, I feel would surely give me a direction I needed.
I liked that it was very thorough and gave me a good idea of what I need to learn.
I found the roadmap excellent, what I liked most are the recommendations that you have placed with heart and also the format, since it is very easy to understand where to start learning.
I sincerely feel that there is nothing to modify, I've loved the structure, the design and the material that comes in the links. Thank you very much for the material Nata, I hope you have a nice week! ☺️
I wanted to thank you for the data engineer roadmap because it has helped me a lot to advance in my professional career. Today I feel like a data more prepared for new challenges thanks to you!
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