Data Dictionary Auto-Auditor

Audit {{dataset_name}} data dictionary against {{database_system}} actual schema.

For each discrepancy:
1. Column exists in {{location_1}} but not {{location_2}}
2. Definition is stale (last updated: {{last_update}})
3. Data type mismatch (dictionary says {{type_1}}, actual is {{type_2}})
4. Missing documentation (column exists, no description)
5. Deprecated columns (in dictionary but dropped from schema)

Prioritize by:
- Frequency of use (is it in active queries?)
- Downstream impact (how many dashboards/reports depend on it?)
- Owner assignment (who should remediate?)

Generate remediation checklist with {{remediation_deadline}}.