Database Design & Optimization
Database Design & Optimization That Keeps Queries Fast as You Grow
I design schemas that scale and tune the queries that are quietly slowing your product down, before your users feel it.
Database Design & Optimization covers the full lifecycle of your data layer: schema and data modeling, indexing strategy, query tuning, and safe migrations across PostgreSQL, MySQL, and MongoDB. Whether you are starting a greenfield product and want the foundation right, or you have inherited a database that buckles under load, I work at the level where most performance problems actually live. The goal is simple: a data model your team can reason about and queries that stay fast as your row counts climb.
Most of the slow products I'm called in to fix don't have a code problem; they have a database problem. A missing composite index turns a 5ms lookup into a 5-second table scan. An N+1 pattern multiplies under traffic. A schema that made sense at 10,000 rows falls apart at 10 million. I find the slow query before your users do, by reading EXPLAIN plans instead of guessing, profiling real workloads, and fixing root causes rather than throwing more hardware at the symptom.
Seventeen years and 15,000+ Upwork hours change the outcome because I've watched these decisions play out over years, not sprints. I know which indexes earn their write cost and which just bloat your tables, when denormalization is the right call and when it becomes a liability, and how to run a zero-downtime migration on a table millions of users depend on. That judgment is the difference between a database that's a quiet asset and one that becomes the bottleneck every roadmap conversation has to route around.
What you get
Deliverables
Schema & Data Model
A normalized, documented schema with the right keys, constraints, and relationships for your access patterns and growth.
Indexing Strategy
A reasoned set of indexes targeting your real query workload, with the redundant and unused ones removed to cut write overhead.
Tuned Slow Queries
Your worst offending queries rewritten and re-planned, with before/after EXPLAIN ANALYZE numbers to prove the gains.
Safe Migration Plan
Versioned, reversible migration scripts and a step-by-step runbook to ship schema changes with zero or minimal downtime.
Connection & Replica Setup
Connection pooling and read-replica configuration so the database stays responsive under concurrent load.
Performance Report
A clear written summary of what was slow, what I changed, the measured impact, and what to watch as you scale.
Stack
Technologies I use for this
How it goes
The engagement
Audit & Profile
I review your schema, capture the actual slow queries with pg_stat_statements or the slow query log, and read the plans to find where time and locks are really going.
Diagnose & Plan
I prioritize fixes by impact versus risk and walk you through what's wrong, what I'd change, and the trade-offs of each option.
Implement & Migrate
I apply the schema, index, and query changes through versioned, reversible migrations, tested against realistic data before they touch production.
Verify & Hand Off
I benchmark before-and-after, confirm the wins hold under load, and document everything so your team can maintain it without me.
FAQ
Questions about Database Design & Optimization
- Can you fix a slow database without a full rewrite?
- Usually, yes. The majority of performance problems I see come down to missing or wrong indexes and a handful of poorly written queries, which I can fix incrementally without touching your application architecture. A full redesign is a last resort, and I'll tell you honestly if your case is one of the rare ones that needs it.
- Do you work with PostgreSQL, MySQL, and MongoDB all in production?
- Yes. I've shipped and tuned all three in production systems, including relational schema design in PostgreSQL and MySQL and document modeling and aggregation pipelines in MongoDB. I'll also tell you when your data would be better served by a different engine than the one you're on.
- How do you optimize queries without breaking the application?
- I work behind a safety net: I reproduce the workload, test changes against realistic data, and ship schema changes through reversible migrations rather than ad-hoc edits. Every optimization is verified with EXPLAIN ANALYZE and benchmarks before it reaches your production database.
- Can you run migrations on a large table without downtime?
- In most cases, yes. Using techniques like concurrent index builds, batched backfills, and expand-then-contract schema changes, I can roll out migrations on multi-million-row tables with little or no downtime. I plan and rehearse the cutover so there are no surprises during the live run.
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Need help with Database Design & Optimization?
Tell me about your project and I'll tell you honestly whether I'm the right fit.
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