API Design & Development
Clean, documented, versioned APIs.
- REST API design and versioning
- GraphQL schema design
- API documentation (OpenAPI/Swagger)
API & Database Engineering
Data and APIs Built to Hold Up at Scale
We design APIs and databases that stay fast, consistent, and secure as your data and traffic grow.
The Challenge
Data Layers That Buckle Under Growth
- Slow Queries at ScaleWhat worked at 10k rows falls apart at 10 million.
- Inconsistent APIsEvery endpoint follows its own conventions, confusing every consumer.
- Tight CouplingChanging one part of the schema breaks three other services.
- No Integration StrategyEvery new third-party integration is built as a one-off.
What We Build
The data and integration layer underneath every reliable product.
Database Architecture
Schemas designed for how data is actually used.
- Relational schema design (PostgreSQL, MySQL)
- NoSQL data modeling (MongoDB, DynamoDB)
- Indexing and query optimization
Data Migration & Modeling
Move and reshape data safely.
- Zero-downtime schema migrations
- Data modeling for new features
- Legacy database modernization
Third-Party Integrations
Connect reliably to external systems.
- Payment, auth, and messaging integrations
- Webhook and event-driven integration patterns
- Rate limiting and retry strategies
Caching & Performance
Keep response times fast as data grows.
- Redis / caching layer design
- Query performance tuning
- Read replica and sharding strategies
API Security
APIs that are hard to misuse.
- Authentication and authorization (OAuth, JWT)
- Rate limiting and abuse prevention
- Input validation and sanitization
Data You Can Trust
Governance built into the data layer, not bolted on after.
Data Security
- Encryption in Transit & At RestAll data protected end to end, not just at the edge.
- Input ValidationEvery API input validated and sanitized against injection.
- Secrets ManagementDatabase credentials rotated and never hardcoded.
API Governance
- Rate LimitingAbuse and overload prevented at the API gateway level.
- Versioning StrategyBreaking changes shipped through versioned endpoints, not silently.
- Access ScopingTokens scoped to exactly the permissions they need.
Data Reliability
- Backup & RecoveryAutomated, tested backups with defined recovery targets.
- Zero-Downtime MigrationsSchema changes rolled out without breaking live traffic.
- Query MonitoringSlow or expensive queries flagged before they become incidents.
Automated Compliance Monitoring
Our systems continuously monitor regulatory changes and automatically update compliance rules to ensure ongoing adherence to all applicable regulations.
What Solid Data Architecture Delivers
Measurable performance and reliability gains.
65%
Faster Query Performance
Reduction in average query response time after optimization.
3x
Higher API Throughput
Increase in requests handled per second after architecture improvements.
70%
Fewer Data Incidents
Reduction in data-related production incidents.
50%
Faster Integration Delivery
Reduction in time to add a new third-party integration.
Key Performance Indicators
API Documentation Coverage90%
Query Performance Improvement78%
API Uptime99%
ROI Timeline
- 00-2 WeeksSchema and API audit, performance baseline established.
- 22-6 WeeksCore API and database redesign implemented.
- 66-10 WeeksCaching, monitoring, and integrations rolled out.
- 1010+ WeeksOngoing performance tuning as data volume grows.
API & Database Engineering FAQs
Common questions about our API & Database Engineering and implementation approach.