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Database Solutions

Data modelling, query and index optimisation, migrations and analytics pipelines. Most performance problems and most data-integrity bugs are decided at schema design time, long before they are noticed.

  • PostgreSQL
  • MongoDB
  • Redis
  • Drizzle
  • Neon
  • Query profiling

What this covers

  • Correctness in the schema

    Constraints, foreign keys and exact numeric types for money. Integrity belongs in the database, not in every code path that remembers to check.

  • Query and index work

    Execution plans read properly, indexes chosen for real access patterns, and N+1 queries found before they reach production traffic.

  • Migrations without downtime

    Reversible, reviewed migrations with a strategy for large tables, so a schema change is not an outage.

  • Analytics separated from serving

    Reporting workloads kept off the transactional database, so a heavy dashboard query cannot slow down checkout.

Have a database solutions project?

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