No. I
Data Migration and Platform Moves
Systems built up over years do not move by drag and drop. I move established ETL workloads onto cloud data pipelines, most often on Azure: Data Factory, Functions, and storage, with the operational monitoring to run them. A recent migration carried millions of rows through bronze, silver, and gold layers. Nothing lost, nothing invented, everything accounted for.
No. II
SQL Server, at Depth
The database is where the truth lives, and it rewards being taken seriously. Schema design and architecture, stored procedure development, query and index performance, and steady administration of the servers themselves.
No. III
Integration
Two systems, one version of events. REST and other APIs, EDI, and real-time and batch exchanges between systems of record, including the joins between finance and operational platforms where figures most often drift apart.
No. IV
Reconciliation and Data Correctness
When two systems disagree, one of them is wrong, and it matters which. I prove that what went in came out, find the sign and mapping errors, and explain the month-end and reporting mismatches until they close.
No. V
Reporting and Business Intelligence
A business should be able to read its own affairs. Queries, extracts, reports, and the pipelines that feed them: figures stated plainly, holding up to scrutiny.
No. VI
Applications and Portals
Built directly on the system of record, so what the screen shows is what the data says. .NET and Blazor web applications, including long-running portals kept under ongoing support.
Sectors served: manufacturing, insurance, managed services, agriculture, telecommunications, and the public sector.