The challenge
Annual client data arrived in many different formats, including Excel, Access, CSV, fixed-length files, and other sources. The data needed to be standardized, validated, compared with prior-year information, and prepared for downstream processing.
The work
I developed and maintained a business application that mapped incoming fields to standardized data structures, detected duplicate and missing records, compared current and prior-year data, identified exceptions and values outside expected tolerances, supported data correction, and generated reports and downstream exports.
Technologies
C#, SQL Server, TypeScript, Excel, Microsoft Access, CSV and fixed-length file processing, data mapping, validation, reconciliation, and import/export workflows.
Outcome
The system reduced manual effort by automating complex data-processing and reconciliation tasks while improving consistency, exception handling, and visibility into data-quality issues.
0 likes · 1 view · Oct 25, 2026
Developed an app for data standardization, validation, and reporting.
