architect

Database schema design involves normalizing data models, defining tables with primary and foreign keys, setting constraints, and planning indexes. This foundation prevents data anomalies, supports efficient queries, and scales reliably as your application grows.

API contract planning defines endpoint paths, request/response schemas, HTTP methods, versioning strategy, and security controls upfront. Clear contracts reduce integration friction, enable parallel development, and prevent miscommunication across teams.

System decomposition identifies service boundaries based on domain logic and data ownership. Microservices improve scalability, independent deployment, and team autonomy, but add operational complexity—start with domain analysis to determine if benefits outweigh trade-offs.

Indexing strategy design selects columns, index types, and access patterns to accelerate queries while minimizing write overhead. Proper indexing reduces query latency, prevents full table scans, and supports scalable read-heavy workloads.

Yes. Coordinated schema and API design ensures data models align with endpoint contracts, reducing impedance mismatch. Planning both concurrently clarifies entity relationships, request payloads, and response structures for coherent backend systems.

Data ownership assigns each microservice exclusive write access to its database, preventing tight coupling. Clear ownership enables independent scaling, schema evolution, and failure isolation while maintaining consistency through API boundaries.