Real-Time Database Integration & Reporting

I need a specialist who can wire several production-level databases together so that information flows in real time, is captured accurately, and remains easy to trace long after it lands in storage. The job starts with building the live integration layer: connections, transforms, and routing must update immediately as changes occur in the source databases (no batch or nightly jobs). Once the stream is flowing, I want a solid verification routine to run alongside it. Data consistency checks should flag mismatches, duplicates, or missing fields the moment they appear, then write clear exception logs I can review. This audit trail will be the backbone of weekly compliance reviews. All incoming files—whether produced by the integration or uploaded manually—should sit in an organised directory structure with version control or another simple mechanism that lets me roll back if something goes wrong. Clean naming conventions and searchable metadata are essential. Finally, I need lightweight but reliable reporting. Think scheduled summaries and ad-hoc dashboards that pull directly from the cleaned, verified tables, not the raw source. As part of ongoing maintenance, your code, pipelines, or workflows should be easy for another engineer to pick up later. Deliverables • Real-time database connections and transformation scripts • Automated data consistency audit with detailed logs • Structured file repository with clear roll-back strategy • Reusable reporting layer (SQL views, BI dashboards, or similar) • Setup and hand-off documentation, plus a short walkthrough video or call If you are comfortable working with common integration tools (Python, SQL, Kafka, Airflow, Fivetran—your choice) and can prove data quality every step of the way, I’m ready to get started.