I have a recurring workload of raw text that I currently handle by hand—cleaning, re-formatting, and extracting key pieces before it can move on to the next stage of our pipeline. I want to replace that manual routine with a reliable Python script. The job is straightforward: build a script that ingests batches of text files, performs the required data processing steps (clean-up, parsing, transformation, or other logic we define together), and then outputs the results in a well-structured format ready for downstream use. Solid command of Python and common text-handling libraries—think pandas, re, or even nltk/spacy if we push into more advanced parsing—will be essential. We’ll iterate once I share sample files and the exact rules. When the script runs smoothly on my side with clear instructions on setup and usage, the project is done.