developer-roadmap VS data-engineer-roadmap

If you're starting your journey in web development, here is a roadmap to follow. Understand that Web development is not merely an extension of programming; it's a distinct field that requires a unique blend of coding and visual design skills. Embrace the importance of visual aesthetics from the get-go, and continuously work on improving your design sense. Trust me it will pay off in the long run, and you'll be able to create truly exceptional web experiences that not only function well but also look and feel amazing.

Github developer roadmaps (backend, frontend, cloud ...)

Roadmap.sh (https://roadmap.sh/)

Web Developer-Roadmap GitHub Link: developer-roadmap Crafted by kamranahmedse, this roadmap acts as a compass for developers navigating the vast landscape of technologies. Covering front-end, back-end, and DevOps, it aids developers in charting a learning path aligned with their goals.

✅ kamranahmedse/developer-roadmap: https://github.com/kamranahmedse/developer-roadmap

It may also be beneficial to start with a high-level overview of what there is to learn in a given area, to understand the overall lay of the land - and then use ChatGPT to dig deeper into selected topics. There are many good resources that provide such an overview, like roadmap.sh or my "Definitive Guide to Succeeding as a Professional Dev".

5. Roadmap

Equipment: Find out more about career paths in development at https://roadmap.sh/. For a detailed self-taught program, see Kamran Ahmed’s Computer Science Roadmap: https://roadmap.sh/computer-science.

Roadmap.sh serves as a comprehensive guide for developers planning their career paths and skill development. It offers structured roadmaps for different domains, helping developers navigate their professional journey.

In DevOps tools I've worked with GitHub + Jenkins, GitLab + k8s, and I'm now primarily working in the Argo Stack. Depending on where you're at technically, you might use something different. IaC is a ust as well, maybe some config management. Generally I've found that as a Data Engineer with a lot of infra/CICD knowledge, I generally get pigeonholed into those positions on a team, so be prepared for that. I really like this roadmap for DevOps , so you can see where your tech skills are at currently, and what you may need to learn. On top of that, you'll need to learn some data tools. Airflow + dbt is hot right now, Argo is sometimes used in MLOps, Azure Data Stack (I'm not familiar with it) seems common, and probably Spark in almost all cases. You can also checkout in visualization tools probably further down the line, I generally stick to something free when learning on my own, Superset or Google Data Studio (Might be Looker Studio now? Not sure, it's been a while). Here's a roadmap for DE too. I love these roadmaps for getting started, but don't let them distract you from exploring a path more appropriate to what you want to achieve. Generally I've found that as a Data Enigneer with a lot of infra/CICD knowledge, I generally get pigeonholed into those positions on a team

Anyways, sorry bit of a rant - I land somewhere in the middle. I would say take formal classes and resources when you can. If you have access to a free course a semester, that's incredible in my opinion. If I were in your shoes, I would follow a roadmap and see if there are courses that check off a box in that roadmap. So for example, you know you need to learn CS fundamentals - see if you can take a DSA class or something. Or take a class on databases. Or an OOP or databases class. I would take those classes if I had the opportunity just because I didn't when I was in college. No one course will check every box for sure.

I don't remember all of the name of the courses but I think this roadmap can put you in the right direction https://github.com/datastacktv/data-engineer-roadmap

You can follow this roadmap https://github.com/datastacktv/data-engineer-roadmap I have already replied some redditors with suggestions, you can read them.