You are missing out. As a former data engineer/current SRE, I spend my entire day with VSCode/Python/Notebooks/CoPilot banging out python code - but whenever I need to do a complex analysis of a semistructured text file in < 60 seconds, awk is my twitch reflex tool. It can trivially do state transition based on patterns in the file, as well as populate hashes from one file and use them in analysis of the next file in just a few characters.

Awk's claim to fame in my world is that it's cognitive activation energy for anyone who has taken the 3-4 hours to learn the language from start to finish (and that's the awesome thing about the language - it really is about 3 hours of concentrated attention) - is essentially nil. You see a bunch of ugly not really structured text 500 MB files that you can't pull into pandas, or easily parse into python dicts? No problem - awk will tear through them for you and get the information you want in < 60 seconds, including the time you took to write your (almostl always single line) of code.

That's Awk's sweet spot.