AI & Data
Database Engineering
Schema design, performance tuning, and operational practices for production databases.
Database Engineering strengthens the data stores your apps and analytics depend on. We design schemas and indexes for real query paths, improve migrations and backup posture, and document operational practices so growth does not turn into unexplained lock contention and midnight pages.
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Who it’s for
- • Product teams feeling database performance pain
- • Teams preparing for growth or multi-tenant data models
- • Orgs needing safer migration and backup practices
Problems we address
- • Slow queries without a clear ownership path
- • Migrations are risky and poorly rehearsed
- • Schema sprawl blocks analytics and features alike
Expected outcomes
- • Schema and index design aligned to access patterns
- • Migration strategy with rehearsal notes
- • Operational checklist for backups, roles, and monitoring
Capabilities
Concrete engineering capabilities included in a typical engagement for this service.
Relational schema design and review
Query and index performance work
Migration planning and zero/low-downtime patterns
Role and privilege hygiene for databases
Backup / PITR configuration review
Read replica and pooling guidance when needed
Technology
Representative technologies used for this service. Final stack depends on your estate.
- PostgreSQL
- MySQL
- Redis (as complementary)
- Prisma / migration tools
- PgBouncer / pooling
- Cloud managed databases
Architecture
AI application flow
User requests through the application into model APIs, tools, and storage.
Deliverables
- • Database design or remediation notes
- • Implemented schema/index changes for scope
- • Migration runbooks
- • Operational checklist (roles, backups, monitoring)
- • Handover for ongoing changes
Out of scope
- • Guaranteed query latency SLOs without measurement
- • Vendor license negotiation
Timeline
Typical timeline
2–6 weeks
Timeline depends on scope, access, and dependencies—not a delivery guarantee.
Process
A clear delivery path from discovery through handover and optional support.
01
Discovery
Goals, constraints, success criteria, and current-state review.
02
Architecture
Target design, interfaces, risks, and delivery sequence.
03
Implementation
Incremental build with visible progress and documented decisions.
04
Testing
Functional checks, failure paths, and acceptance criteria validation.
05
Deployment
Controlled release to staging and production with rollback paths.
06
Handover
Runbooks, access notes, and operator/admin walkthrough.
07
Support
Optional hypercare window or retainer continuity after go-live.
Custom engagement
Pricing depends on architecture, traffic profile, and integration depth. Share your requirements for a scoped quote.
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Related work
Example / concept projects shown for illustration unless otherwise verified.
FAQ
Project work includes handover. Ongoing database operations can continue under managed or retainer plans if you choose.
Ready to build?
Tell us about your environment, constraints, and target outcomes. We’ll recommend a package or a scoped quote.