What I deliver

Schema design — normalized, well-documented data models that grow with your product
Query optimization — identify and fix slow queries dragging down your application
Indexing strategy — the right indexes for your access patterns without bloating writes
Migration planning — safe, zero-downtime schema migrations for production databases
Architecture review — evaluate your current setup and recommend improvements

Project examples

B2B SaaS — scaling past growing pains

A pattern that shows up consistently at the growth stage: the database schema was designed for an early product and a small customer base, and it’s now causing problems. API timeouts are creeping up, reports are slow to load, and engineering is spending more time on performance fires than new features.

This type of engagement starts with a database audit — identifying missing indexes, N+1 query patterns, and schema design decisions that made sense at launch but don’t hold up under load. The output is a prioritized set of fixes, from quick index additions to query rewrites, with measurable improvements to response times and infrastructure costs.

B2B SaaS — multi-tenant schema design

Early-stage SaaS products often start with a schema that doesn’t properly account for multi-tenancy — data isolation is informal, there’s no clean tenant boundary, and adding enterprise features like role-based permissions or audit logging requires reworking the core model.

This type of project involves redesigning the schema with proper tenant isolation, row-level security, and a structure that supports compliance requirements without sacrificing query performance. The goal is a data model that can support enterprise sales without requiring a painful re-architecture later.

Who this is for

B2B SaaS teams hitting scale — the database was fine at launch but is struggling as the customer base grows
Early-stage products that want to build the right data model before bad decisions compound
Engineering teams shipping a major feature that requires a schema change in a live production system
Companies moving upmarket that need their database architecture to support enterprise compliance requirements

Why Selvi Data

Working with a solo practitioner means no account managers, no handoffs between teams, and no overhead baked into the price. You work directly with the person doing the work, which keeps costs lower and timelines shorter.

I’m not aligned with any particular platform or vendor, so recommendations are based on what’s right for your situation, not what generates the largest implementation. And as an independent, I have no incentive to scope a project larger than it needs to be.

Database Design & Optimization