When reports disagree, systems don’t reconcile, or business users no longer trust the numbers, the problem needs to be traced through the data — not guessed at.

I help identify and resolve data-quality and reconciliation issues across databases, pipelines, warehouses, and reporting systems.

I can help with:

Source-to-target reconciliation

Identifying mismatched, missing, or duplicate records

SQL-based data profiling and validation

Business-rule validation

Root-cause analysis of reporting discrepancies

ETL/ELT validation and troubleshooting

Repeatable data-quality checks

Reconciliation queries and control reporting

I bring 20+ years of database and data-engineering experience to problems where the data simply does not add up.

My approach is to trace the data from source to output, isolate where the discrepancy is introduced, validate the business logic, and leave you with repeatable checks that make the issue easier to detect in the future.

If your team is asking, “Why don’t these numbers match?”, send me the details and I’ll help find the answer.