Not a language problem, it's a dev culture problem. You can hold your devs accountable to the quality of their code. Strong er typing support via static analysis as well as runtime validation with untrusted input/data has really helped python alot.

I'm not necessarily the biggest fan of python, but writing a data engineering tool in a non-data engineering focused language seems like a bad decision. Now when the OP leaves the organization is in a much tougher position.

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