Professional Case Study

Building trust during enterprise data modernization.

Supporting the move from legacy SQL Server reporting toward a data-lake environment by making business logic, lineage, mappings, and validation explicit.

The challenge

Modernizing reporting is not only a technology migration. Existing reports often contain years of accumulated business logic, assumptions, transformations, and definitions that must be understood before they can be rebuilt reliably.

My contribution

  • Documented existing report and SQL logic for technical and business audiences.
  • Created and contributed to data dictionaries describing definitions, source systems, and intended analytical use.
  • Mapped end-to-end business processes to the underlying data so teams could understand how real-world events appeared in analytical systems.
  • Worked with consultants and internal teams on source-to-target mappings, data types, transformations, and data onboarding.
  • Validated data and ETL behavior across DEV, TEST, and PROD and verified downstream Power BI results.

Why it matters

Analytics becomes fragile when definitions exist only in someone's memory. Documentation, lineage, explicit business logic, and validation help create a shared analytical foundation that can survive platform changes and be reused by more people.

Portfolio extension

Modern data model demo planned.
A public synthetic project will show source-to-target mapping, a data dictionary, validation queries, and a small dimensional model.