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Hello,
I understand that you want to run the same steps over multiple columns in Glue Databrew. To do this, you can add the steps in a recipe for all columns (say formatting the string as lowercase) and perform the same steps over multiple columns, there's no limitation for re-iterating same step for multiple column. You can read more about Databrew recipes here.
[1] Creating and using AWS Glue DataBrew recipes - https://docs.aws.amazon.com/databrew/latest/dg/recipes.html [2] Data cleaning recipe steps - https://docs.aws.amazon.com/databrew/latest/dg/recipe-actions.data-cleaning.html
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I appreciate you taking the time to respond, but my question is about "fill in missing values with NULL for these five columns," not about repeating steps for multiple columns. Based on your answer, it sounds like the answer is "no, this isn't possible," but I don't think your solution is a valid workaround. A dataset with 10 columns becomes 10x harder to maintain if you have to repeat the same step 10x for each "universal transformation" you want to apply. Thank you for the answer, though!