God Tier Data Engineering Roadmap - 2025 Edition

This is the only data engineering roadmap you will need if you want to learn data engineering from scratch. I have combined all of my data engineering experience and asked my self, how would I re-learn everything efficiently.

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0:00 Intro and Overview
1:11 Understanding Data Engineering in 2025
1:50 Prerequisites
5:02 Big Data Technologies
8:37 Orchestration Platforms
9:50 Cloud Platforms
11:51 Data Warehouse and Lakehouse
15:40 Data Lineage and Cataloging
16:50 AI
17:44 DevOps
20:09 Projects

[JashRadia]

Thank you for watching! We have made a full circle with this video and hope you like it ❤ let's talk!

[ParthMehta]

bro this is like the most to the point data engineering roadmap video on internet.
If you could, could you make videos of a complete end to end DE projects using all these steps ; that be BREAKING.👍👍

[errrbrrr]

the goat is back. thank you for your data engineering content. it help me to get a data engg job.

[felipesimione]

Amazing. 👏🏻👏🏻👏🏻👏🏻 this will help a lot of people. Thanks Jash.

[srinubathina]

Thank you, Jash, for creating this amazing data engineering roadmap! Your clear guidance and structured explanation are incredibly helpful . Keep up the great work!

[Drizzy-zexg]

Thanks so much! One of the top 3 videos on DE over youtube.

Please make similar roadmap for AI Enginner if possible.

[kankanpaul_]

I agree with most points, except for the Hadoop/Hive aspect. Any data engineer should have a solid understanding of the underlying architecture before diving into development, and Hadoop provides that foundation from an architectural perspective(not needing to write code in MapReduce). Hive can also be useful in understanding how it acts as an abstraction layer over Hadoop. A strong foundation is essential. Otherwise, everything else in the video is excellent. Cheers for this insightful content!

[Santara]

Perfect timing to come across this video as I am re-skilling as a data engineer. Do you recommend working down your roadmap sequentially, or learning maybe the first thing in each category and then trying a project, coming back to "complete" the boxes gradually?
Thanks for such a great video!

[crpzkll]

Thanks for clearing my doubts & it's a really cool road-map for date engineers.

[jaladhithakur]

most awaited video 😁 thank you for sharing resources along with 🙂🙂

[GodwinOmogbemeh]

THANK OU SO SO MUCH FOR THIS ELABORATE ROAD MAP...GOD BLESS YOU TONNES

[GowthamReddy-ts]

Top notch! Really loved from scratch to depth! Thanks for the highly informative video❤️

[claudebelanger]

Thanks really good video to the point!

[harshinde]

I asked for this in your previous roadmap video.. and you put a video.. thanks!!

[hoangng]

A difficult thing for learning DE is that I find "so-called" many of end-to-end project tutorials only handle small-sized datasets. Also, data in real-world use cases might come from different sources with heaps of different challenges but again many of projects only work on one data source such as downloaded csv or parquet files.

[satyajeetmishra]

Jash, can you pls start a course for data engineering for product based companies

[gurindersharma]

thank you sir for your data engineering content it helped me

[jadhavkrishna]

Hi Jash, could you please make a video on open source for data engineers. Love your content ❤️

[ShahirKhan-]

Superb insights that I couldn’t imagine before I was just surfing random content on data engineering. Thanks a lot….

[binaykumar]

Best place to learn these softwares or any software is the official tutorial and official documentation. Modern software developers maintain very good quality documentation. Some O'Really books are very good. I like GNU documentation, they are hand down the best.