Data Engineering Roadmap 2024
Your step-by-step study plan in the world of Data technologies.
Your ultimate time saver
Your Data Engineer career booster
@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.
For Whom
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):
This roadmap is the ultimate time-saver and the booster for your Data Engineer career 💪
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 2024
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.
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 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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