Data systems and integration
Pipelines, mappings, databases, and control totals that keep systems aligned
The same fact lives in three systems with three values, and every report starts with a manual export.
What we build
- ETL/ELT pipelines and API integrations
- Database and reporting-layer design
- Field mapping, transformation rules, and control totals
- Migration reconciliation and repeatable reruns
Typical integrations
- PostgreSQL and SQL databases
- Accounting platforms and ERPs
- Payment processors, property systems, Microsoft 365
- Power BI data models
Controls and validation
- Source-to-target reconciliation with control totals
- Rejected-record handling instead of silent drops
- Post-migration validation before cutover
Deliverables
- A documented pipeline or integration
- Reconciliation reports proving the data moved correctly
- A reporting layer your tools can read
What this does not promise: A successful upload is not treated as proof of a correct migration. Validation is the deliverable.