Manufacturing · North America
80K MigrationERP Data Migration
For the 80K Migration, I built a Python pipeline and SQL checks to extract, clean and load 80,000+ legacy records into Odoo. The client's finance team approved the reconciliation.
- My role
- Built the Python migration pipeline and SQL validation checks.
- Project scope
- Extraction, cleanup, import and reconciliation of legacy records into Odoo.
- Outcome and status
- 80,000+ records migrated, with reconciliation approved by the client's finance team.
- Tools and platforms
- Python ETL · SQL · Odoo
The challenge
This manufacturer needed its legacy records moved into Odoo, but the finance team wasn't going to trust a migration they couldn't verify.
My approach
I built a Python ETL pipeline with SQL validation at every stage, so every batch could be checked and reconciled before anyone had to take it on faith.
What I built
- Extraction and transformation scripts for the legacy dataset
- SQL-based validation and reconciliation checks
Results and delivery status
- 80,000+ records migrated
- Reconciliation signed off by the client's finance team