I have several product lists saved in a mix of Excel files and standalone CSV files. Each source uses its own column order and naming conventions, but I need everything combined into one clean CSV that matches the column structure shown in my example file. Here’s what I expect: • Open every Excel and CSV source, map its fields to the target headers in the example, and copy all rows over. • Normalise values where needed—dates, prices, category names, SKUs—so the finished file is consistent and import-ready. • Preserve any special characters, line breaks, or encodings already present in descriptions. • Return a single, properly formatted CSV that opens without warnings in Excel, Numbers, Google Sheets and passes a quick schema check. If you prefer to script the conversion with Python / pandas or similar tools instead of doing it manually in Excel, that’s fine as long as the result is accurate. When you’re done, send me: 1. The consolidated CSV. 2. (Optional) Any script or macro you used, so I can rerun the process in the future. I’ll supply the layout example and all source files once we start. Let me know how quickly you can turn this around and any questions you have about column mapping.