Services
Schema design, query performance, migrations without downtime, and backups you've actually tested. PostgreSQL first; pragmatic about the rest.
Fit
Queries that took milliseconds now take seconds; reports time out; nobody is quite sure which index does what. We find out, then fix it.
You're building something data-heavy — inventory, ledgers, analytics — and want the schema right before millions of rows make it expensive to change.
Orders, payments, member records. You need backups that restore, migrations that don't drop rows, and an audit trail you can stand behind.
Scope
Normalized where it protects integrity, denormalized where it earns its keep — modeled around your domain, documented with an ERD.
EXPLAIN-driven tuning: the right indexes, rewritten hot queries, and honest numbers on the difference. Measured, not guessed.
Expand-and-contract patterns, backfills in batches, and rollback plans — schema changes your users never notice.
Automated backups with retention policy — and restore drills, because a backup you've never restored is a hope, not a strategy.
Redis where it genuinely helps — sessions, hot reads, queues — with invalidation rules that keep cache and truth aligned.
Append-only movement logs for money and stock — the pattern behind our own inventory systems, where every change has a paper trail.
Read models and aggregates that make dashboards fast without slowing down the transactional core.
Approach
01
UI changes weekly; data models last a decade. We spend design time where mistakes are the most expensive to unwind.
02
Constraints, foreign keys, and transactions enforce the rules even when application code has a bad day.
03
Real query plans on production-shaped data — not intuition. Then fix the top offender, measure again, repeat.
Tools
PostgreSQL first: it's what 700K+ orders across our platforms sit on.
Deliverables
Proof
700K+ orders across our platforms sit on schemas we designed — inventory ledgers, multi-tenant partitioning, audit trails.
A 30-minute call is enough to tell you honestly whether we're the right team for it — and what it will take.
PostgreSQL
MySQL (where it's already home)