DataOps
Pipelines & ETL
Ingest, transform, and reverse-ETL across FHIR, claims, devices, and analytics warehouses.
Active pipelines
48
Rows · 24h
312M
Failed runs · 24h
3
Schemas under contract
84
Pipeline health
- healthyFHIR ingest → bronzelag: 1m lag
- healthyBronze → silver (USCDI v3)lag: 4m lag
- healthyClaims 837/835 normalizelag: 12m lag
- degraded · partition skewDevice telemetry rolluplag: 2m lag
- scheduledReverse-ETL → CRM (HubSpot)lag: next at :15
- healthyML feature store synclag: 8m lag
Data quality checks
- PII leakage scan (regex + ML)0 hits / 24hok
- Null-rate drift — Patient.gender+1.2ppdefault
- Volume anomaly — Encounter−18% vs baselinewarn
- Schema drift — Observation.code2 new codesdefault
Recent failures
- epic-fhir-sync · auth 401owner: integrations · retried 3×
- warehouse-merge · OOM on Encounterowner: dataops · raised limit
- cdc-stream · checkpoint stalledowner: platform · resumed