PostgreSQL Financial Records Entry
Budget: £10 – £15 GBP
I need help turning a backlog of paper-based and scanned financial records into clean, searchable data inside my PostgreSQL database. All source documents are organised by month in shared cloud folders; your job is to review each file, capture every relevant field, and insert it directly into the tables I specify (or propose a tighter schema if you spot improvements).
Accuracy matters more than speed—balances must tie out and numeric formats must stay consistent with the existing data. I’ve already set up secure, limited-privilege access to the database, and can supply ER diagrams plus sample rows so you see the conventions to follow. If you prefer to stage the work in a local instance before pushing to production, that’s fine with me.
Deliverables
• Populated PostgreSQL tables reflecting all supplied financial records
• A brief validation report highlighting any discrepancies, duplicates, or missing information
• Step-by-step notes (Markdown is fine) on the import process so I can reproduce or audit it later
Please let me know your experience with similar finance-oriented data entry or ETL work, any tools you’d use alongside psql (e.g., pgAdmin, Python scripts, Excel for preliminary cleanup), and a realistic turnaround time per 1,000 records.
Accuracy matters more than speed—balances must tie out and numeric formats must stay consistent with the existing data. I’ve already set up secure, limited-privilege access to the database, and can supply ER diagrams plus sample rows so you see the conventions to follow. If you prefer to stage the work in a local instance before pushing to production, that’s fine with me.
Deliverables
• Populated PostgreSQL tables reflecting all supplied financial records
• A brief validation report highlighting any discrepancies, duplicates, or missing information
• Step-by-step notes (Markdown is fine) on the import process so I can reproduce or audit it later
Please let me know your experience with similar finance-oriented data entry or ETL work, any tools you’d use alongside psql (e.g., pgAdmin, Python scripts, Excel for preliminary cleanup), and a realistic turnaround time per 1,000 records.