I will audit your data quality and build bespoke validation rules

Is unreliable data affecting your reports, customer records, financial analysis, or business operations?

I will perform a structured data-quality audit and help you understand exactly where your data is failing, why the issues are occurring, and how they can be corrected.

I have professional experience designing enterprise data-quality frameworks for financial-services organizations, including validation rules, monitoring logic, issue classification, remediation workflows, and reporting across millions of records.

Depending on your package, I can review Excel, CSV, SQL, or database extracts and assess issues such as:

• Missing or incomplete values
• Duplicate records
• Invalid formats and data types
• Inconsistent categories or naming conventions
• Referential-integrity failures
• Outliers and suspicious values
• Conflicting information across datasets
• Broken business rules
• Customer and transaction data inconsistencies

You will receive clear findingsnot just codewith prioritized recommendations your business or technical team can act on.

Please contact me before ordering if your data contains sensitive information or requires direct database access.