Data Integrity & Governance Audit
Dashboards disagree, pipelines silently drop rows, or compliance asks hard questions? This audit gives you an executive-ready view of data health across pipelines, warehouses, and reporting layers — plus a clear remediation roadmap.
- ✔ Data Governance
- ✔ Data Engineering (Databricks / Snowflake)
- ✔ AWS Cloud Architecture (Landing Zones / Terraform)
- ✔ Cybersecurity Engineering (IAM / SIEM / SOC)
- ✔ C2C-only model with vendor/MSP alignment
- ✔ 24–48 hour candidate turnaround (most roles)
What We Assess
Data Profiling & Quality
- Null rate & completeness analysis
- Duplicate detection
- Outlier & anomaly identification
- Schema drift detection
- Freshness validation
Pipeline & Architecture Review
- CDC & watermark correctness
- Retry & failure logic review
- Idempotency validation
- Raw-to-fact reconciliation
- Late-arriving data impact
Governance & Compliance
- PII detection
- Access control audit
- Data retention validation
- SOC2 & HIPAA readiness assessment
Cost & Performance
- Warehouse sizing analysis
- Query performance profiling
- Compute cost leakage detection
- Resource optimization strategy
Deliverables
- Executive Summary Report (Risk Matrix + Severity Index)
- Technical Findings Document
- Remediation Roadmap
- Architecture Improvement Recommendations
- Optional Monitoring & Observability Setup
Business Impact
- Increased trust in reporting
- Reduced compliance risk
- Lower cloud spend
- Improved engineering reliability
- Stronger executive visibility
Ready to run an audit?
Share your platform (Snowflake/Databricks), 5–15 critical tables, and reporting pain points. We’ll return an executive summary + remediation roadmap.