Data systems

When the database is the business, architecture has to respect the transaction truth.

SQL Server, MySQL, stored procedures, reporting models, integrations, indexes, permissions, and transaction boundaries often carry more business behavior than the application layer admits.

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Common risk signals

Reports do not match screens or operational expectations.
Stored procedures encode rules no one can safely change.
Performance fixes are attempted without understanding transactions and indexes.
Integrations move data but do not preserve meaning, timing, or auditability.

Repair focus

A data-system assessment should map ownership, schema pressure, query hotspots, reporting contracts, data lineage, and the operational workflows that depend on the database.

The goal is not just faster SQL. The goal is safer change in the system that carries business truth.