Client engagement
Spreadsheets and databases kept in sync without daily maintenance
A production utility that moved large datasets between Google Sheets and PostgreSQL while handling changes, conflicts, and monitoring.
- Fact 1
- About 90% less manual maintenance
- Fact 2
- Large-table support
- Fact 3
- Health monitoring
- Period
- April 2025 to January 2026
The problem
A data operations team relied on people to keep large spreadsheets and database tables aligned. The manual work was slow, error-prone, and difficult for non-technical stakeholders to monitor.
What I built
I built an automated sync that moved large tables in manageable parts, matched fields across systems, updated only what changed, resolved conflicts, and reported pipeline health.
The result
The system reduced manual data maintenance by approximately 90% and gave stakeholders a clearer view of whether the process was healthy.
Technical details
For technical reviewers, the delivery used the following tools and platforms. The business problem and result remain the primary scope.
- Python
- Google Sheets API
- PostgreSQL
- Chunked data processing