Data rescue & cleanup
Turn inconsistent spreadsheets, exports, instrument files, and hand-built processes into a documented, reproducible dataset you can trust.
- Data audit
- Cleaning pipeline
- Data dictionary
- Validated export
Engagements can range from a data assessment or database rescue to a complete internal platform. Every project is designed around maintainability, visibility, and transfer—not long-term dependency.
Discuss a projectTurn inconsistent spreadsheets, exports, instrument files, and hand-built processes into a documented, reproducible dataset you can trust.
Design or rebuild PostgreSQL systems that reflect how your organization actually works—without trapping critical knowledge in one person’s spreadsheet.
Automate recurring imports, validation, transformations, notifications, reports, and handoffs so the process runs reliably without constant intervention.
Build focused Flask applications and decision tools that match your workflow instead of forcing your work into a generic platform.
Connect instruments, devices, field teams, samples, locations, QA/QC, metadata, and alerts into a single operational system.
Create transparent analytical workflows for geospatial prioritization, monitoring design, scenario comparison, and technical reporting.
Inventory the workflow, data, risks, and highest-value next steps. Leave with a concrete architecture and action plan.
Design and implement a database, pipeline, dashboard, internal application, or integrated data system.
Repair a fragile system, improve performance, add validation and backups, document it, and make it maintainable.