Faster queries
Indexing, plan analysis, and hot-path redesigns.
Database Optimization & Migration
Data layers that keep up with the product
Query tuning, schema evolution, and migrations across SQL and NoSQL—with cutovers that protect uptime.
Outcomes we engineer
Clear business results—not vague deliverables.
Safer migrations
Expand/contract patterns and dual-write strategies.
Right-sized storage
Engine selection matched to access patterns and cost.
Capabilities
Deep technical execution across the full delivery lifecycle.
SQL performance
PostgreSQL, MySQL, and SQL Server tuning programs.
NoSQL design
Document and key-value models for high-throughput paths.
Legacy modernization
From monolith DBs to service-owned data stores.
Migration factory
ETL/CDC pipelines with validation and rollback plans.
How engagement works
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Step 1
Discover & align
Workshops to lock goals, constraints, compliance, and success metrics.
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Step 2
Architect & plan
Blueprint, estimate, team shape, and risk register before build.
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Step 3
Build in slices
Ship vertical increments with CI/CD, tests, and observability.
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Step 4
Stabilize & transfer
Runbooks, SLOs, and knowledge transfer to your team.
Technologies we deploy
PostgreSQL
MySQL
MongoDB
Redis
Kafka Connect
Flyway
Frequently asked questions
Senior-heavy pods with a named lead architect and clear RACI.
Yes. We audit first and propose the smallest viable change set.
A structured discovery sprint ending in a signed delivery plan.