I have a dataset that has picked up the usual clutter over time and now needs a thorough cleanup so it can feed reliably into downstream analysis and reporting. I will provide the raw files as soon as the project begins; they may include spreadsheets, flat files or simple exports, but everything will be clearly named and accessible in a shared folder. Here is what I need from you: • A fully cleaned, well-structured data file in the same format the source arrived in • A brief, plain-language log (Markdown or text) explaining every transformation step, the rules you used to handle missing values, duplicates or inconsistent formats, and any assumptions you made • Reproducible code or documented steps (Python, R, SQL or your preferred tool) so the process can be rerun on future refreshes I will review the cleaned file by loading it into our BI tool and running a few standard checks. If everything lines up with the log you provide, the work is complete. Feel free to suggest extra validation routines if you think they will add robustness.