The context
Connected-device data becomes useful when people can rely on it to understand what is happening. In this project, scaling inconsistencies, missing history and corrupt readings meant the platform did not reliably agree with the devices.
The problem spanned acquisition, transformation, stored history and the latest values shown in dashboards. A correction at only one layer would leave the rest of the record inconsistent.
My contribution
- Built and debugged telemetry bridge and historical backfill workflows between the broker and dashboard platform.
- Corrected scaling on ingestion and repaired stored history against a defined cutover, avoiding repeated transformation of the same records.
- Reconciled platform values with gateway and live device readings, and investigated competing publishers contaminating the data path.
The system, in view
- Device readingsSource measurements
- Ingestion & repairCorrect and reconcile
- Operational viewHistory and dashboards
The important decision
Repair the record without inventing a signal.
Correcting incoming measurements and stored history had to happen together. A defined cutover avoided transforming the same data twice. Genuine outages were kept as gaps rather than filled with invented flat readings, preserving the distinction between a measurement and missing information.
From design to implementation
The work combined a scaling stage in the telemetry bridge with recovery of historical measurements and transactions that had not reached the dashboard platform. Invalid points were removed rather than made to look like normal readings.
Reconciliation checked the platform against gateway records and independent live device reads. Investigating competing publishers helped explain why some values were still inconsistent even when an individual processing step appeared correct.
This case is a pipeline and historical-data repair. Wider platform database architecture is separate; the work is not presented as a completed database migration.
What the work established
Telemetry values reconciled with gateway and live device readings, covering ingestion correctness, historical recovery and the operational view.
The lesson
Data quality is a property of the entire path. A useful repair explains not only how new records are interpreted, but also how past records and genuine gaps should be understood.