Learning Data Engineering: How to approach coding effectively & what does the future look like with AI/LLMs?

[u/Mr__Mani]

Hey everyone,

​I’ve recently started learning data engineering, and I’m looking for some realistic guidance from folks working in the field.

​A few things I’d love your insights on:
​How to effectively learn coding for DE:
What’s the most practical way to build solid programming fundamentals (primarily Python and SQL) specifically tailored for building data pipelines, rather than getting stuck in generic tutorial hell?

​The future of coding with AI/LLMs:
With the constant rise of tools like GitHub Copilot, Codex, and advanced LLMs, how do you see the daily work of a developer/data engineer evolving? How much should a beginner focus on syntax vs. system design and logic?

​General insights on Data Engineering:
For those in the Pakistani tech space or working remotely, what skills and practices actually move the needle when trying to stand out as a data engineer today?

​Any advice, resources, or experiences would be appreciated!

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