Does anyone else work as a big data professional in a [seemingly] unorthodox way?

I started a new role where my official title is a data analyst, but so far it’s been a ton of shell scripting, developing Unix-based tools to automate data retrieval processing, and fixing errors in fields. It’s a weird transition to only view data frames in a terminal, and only write code in a vim editor in a terminal, but I’ve gotten used to it and enjoy it thus far. I’ve also talked with a colleague about implementing some ML …

analyst automate big big data data data analyst datascience errors fields processing professional retrieval role scripting shell tools transition unix view work