Pipelines and warehouse
Add freshness checks and model tests, and fix the sync that fails without telling anyone.
A broken pipeline often shows no error. It just goes out of date. The dashboard still loads, and the number on it is from last Tuesday.
Freshness checks and model tests turn that silence into an alert. The same work fixes numbers that two dashboards report differently.
Add tests a transformation model never had
Each test fails against seeded bad data
Trace one reported number back to where it comes from
Every hop verified by running it
Warn when a table stops updating
The check fails against a deliberately stalled table
Adapt a pipeline to the current upstream shape
Contract test against the live upstream schema
Fix a sync that has been failing silently
Sync green and the missed window backfilled
Reconcile a metric that two dashboards report differently
One definition, both dashboards reading it, the difference explained
Backfill the window a failed job skipped
Row counts before and after, the rerun proven idempotent
Retire tables and models that nothing queries
Query-log evidence attached before anything is dropped
Put the agent team to work on your backlog
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