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Intro time! I'm David. I call myself a "data generalist" because I haven't found a label that fits. I've been a software dev, data scientist, and my real passion is education so now I do Python and data training. I'm currently most interested in skills that data people *actually* need to know.

How do you cover all the devops, deployment and platform skills that people need? I feel like this is a big gap for people coming to data engineering from being an analyst. They’ve never worked as a software engineer to pick up these skills, they are actually unknown unknowns.

I agree that gap exists and I consciously stayed away from it. One way was to avoid calling it "data science". The skills you mention are not traditional analyst skills, plus they warrant a book of their own. I'd read an "analyst to engineer" transition book!

It doesn't seem to exist though. I often think that engineers have these skills subconsciously.