Your data is trapped in corrupted spreadsheets and messy exports. I run it through custom parsing scripts to output a <strong>clean, relational structure</strong> — ready for a database or automation. This is the unglamorous step that makes everything above it possible.
- **From chaos to clean** — Legacy spreadsheets and broken CSVs become a pristine, structured dataset.
- **Automation-ready** — Clean data is the prerequisite for any pipeline or system to work reliably.
- **No more duplicate hell** — Deduplicated, normalized, and validated — so your records can be trusted.
- **Handled once, properly** — Custom scripts built for your specific mess, not a generic tool you have to babysit.
| Data refactor | Parse, clean, dedupe, and restructure legacy data | $2.5K – $6K flat |
**My data is genuinely a disaster — is that a problem?**
No — that's exactly what this tier exists for. Price scales with how complex the cleanup is.
**What format do I get back?**
A clean, relational schema ready to drop into a database or feed into automation.
*Priced flat by payload complexity. One and done.*