I will merge and deduplicate your data across sources using trusted source rules
About this Gig
Your customer or business data lives in two, three, sometimes five different places a CRM export, an old spreadsheet, a system migration dump and none of them fully agree. Duplicate names, mismatched phone numbers, an address that's current in one file and years stale in another.
I don't just remove duplicates I tell you which source to trust for which field, and why, using data survivorship principles from real enterprise data programs, so your merged data actually holds up instead of just looking clean.
How it works: you share your data exports I profile each source for completeness, duplicates, and freshness I recommend (and apply) which source wins per field you get a clean, merged file plus the reasoning behind it.
What you get: a data quality summary, a merged/deduplicated file, and documented rules for why each field was resolved the way it was.
Message me before ordering with a small sample (50100 rows is enough) so I can confirm scope and timeline. Scanned, image-based, or heavily inconsistent formats are quoted separately no surprises once the clock starts.
Technology:
Python
