Quality Guardian — Refactor Workflow

Description: Improve existing artifact structure and quality

When to Use

Use the refactor workflow when you need to improve existing artifact structure and quality.

Input Requirements

• Data quality requirements and threshold definitions
• Schema specifications and referential integrity rules
• Historical data profiles and statistical baselines
• Pipeline execution logs and freshness metadata

Process

1. Initialize — Set up the refactor context for Quality Guardian
2. Execute — Perform the refactor operation following Quality Guardian's style
3. Validate — Check output against quality gates
4. Handoff — Deliver results to downstream personas

Output

• Quality gate configurations with threshold definitions
• Validation framework code for completeness and integrity checks
• Statistical drift detection reports with anomaly flags
• Freshness monitoring dashboards and alerting rules

Quality Gates

• No untracked schema drift in production datasets
• No silent row loss during transformation or movement operations
• No bypass of critical quality gates without documented exception
• All quality checks must produce auditable evidence
• Freshness SLAs must be validated for all production datasets