Database Consultant: Design, Audits & Performance

Quick answer

A database consultant designs, audits and optimises the data layer your business runs on — the schema and relationships, indexing and query performance, migrations, and the integrity rules that keep your data trustworthy. You hire one when your system is slow, your reports can't be trusted, you're about to migrate, or you're planning a build and want the data model right before code gets written.

What does a database consultant do?

A database consultant works on the foundation, not the surface. The goal is a data model that's correct, fast and still maintainable in three years.

• Designs the schema and relationships (normalisation, keys, constraints)
• Audits an existing database and finds what's actually slowing it down
• Optimises queries and indexing strategy
• Plans and runs migrations without losing or corrupting data
• Sets up the structure that reporting and analytics depend on

Signs you need a database consultant

These are the symptoms that almost always trace back to the data layer.

• Pages or reports have got slower as your data has grown
• The same information is duplicated in several places and drifts out of sync
• You can't trust your numbers — different reports disagree
• You're migrating from spreadsheets, a legacy system or another platform
• You're about to start a build and want the data model right before writing code
• Adding a simple new feature keeps requiring awkward workarounds

Common problems I fix

After 9+ years across production systems, the same root causes come up again and again.

• One giant flat table doing the job of five related ones
• Missing indexes (and over-indexing, which is just as costly)
• No constraints, so bad data silently accumulates
• N+1 query patterns hammering the database from the application layer
• Reporting run directly against production, slowing everything else down
• Migrations done by hand, with no rollback plan

The process: how an engagement runs

Database work is high-risk if done casually, so it follows a deliberate sequence.

• Discovery — understand the business rules the data has to represent
• Audit — profile the schema, queries and slow paths against real data
• Design — the corrected model, with a clear rationale for each decision
• Migration plan — staged, reversible, with verification at each step
• Handover — documentation your team can actually work from

SQL database or no-code (Airtable)? Choosing right

This is one of the most valuable decisions a consultant helps you make — and the one people most often get wrong in both directions.

• Airtable — excellent for operational systems, CRMs, trackers and portals your team runs day to day
• PostgreSQL/MySQL — the right call for high volume, complex queries, strict integrity or heavy reporting
• The honest test: record volume, query complexity, concurrency and how much logic lives in the data
• I work in both, so the recommendation isn't driven by which tool I'd rather sell you

Consultant vs developer: which do you need?

Hiring the wrong one is a common and expensive mistake.

• Consultant — decides what the data model should be and why
• Developer — implements against a model that's already decided
• If you're unsure what to build, a consultant first will save you far more than they cost
• I do both, so the design and the implementation come from one accountable person

What does a database consultant cost?

Scoped by the size of the system, not by hours guessed up front. This is usually the cheapest high-leverage money in a project, because it prevents rebuilds.

• A focused audit with prioritised findings: a fixed, defined fee
• Full schema design for a new build: a defined project
• Migration planning and execution: scoped to data volume and risk
• Ongoing advisory as you scale: a light monthly retainer

Official resources

For primary documentation, see: Airtable · Make.com.