feat(openmetadata): profiler + data-quality tests for data insight

Profiler:
- pg/mysql: table-level metrics via DB statistics (exact-ish row counts) only;
  source tables hold 24-53M rows and OM's column profiler full-scans per column
  (no TABLESAMPLE pushdown), which would hammer the live CDC source.
- trino/iceberg: full column metrics + sample data on the small (20-25k row)
  curated_masked + hadoop tables.

Data quality: 16 test cases across 5 tables (row counts on big sources; row
count + uniqueness/not-null/range on curated/masked + historical), all passing.
This populates OM's Data Quality dashboard (coverage, healthy assets,
dimensions, test results).

deploy/openmetadata/ingest/trino_profile.yaml

@@ -0,0 +1,34 @@
+source:
+  type: trino
+  serviceName: atc_trino
+  serviceConnection:
+    config:
+      type: Trino
+      username: mo
+      hostPort: 10.0.21.50:8089
+  sourceConfig:
+    config:
+      type: Profiler
+      # Iceberg lakehouse tables are small (20k-25k rows), so full column-level
+      # profiling is cheap here and gives rich stats + sample data on the
+      # governed/masked data. Source catalogs are profiled natively; the
+      # kafka/cassandra-system catalogs are skipped.
+      computeTableMetrics: true
+      computeColumnMetrics: true
+      useStatistics: true
+      threadCount: 5
+      databaseFilterPattern:
+        includes:
+          - iceberg
+processor:
+  type: orm-profiler
+  config: {}
+sink:
+  type: metadata-rest
+  config: {}
+workflowConfig:
+  openMetadataServerConfig:
+    hostPort: http://openmetadata-server:8585/api
+    authProvider: openmetadata
+    securityConfig:
+      jwtToken: "__JWT__"