Your database is the backbone of your application. I design efficient schemas, optimize slow queries, and implement scaling strategies that keep your app fast as your data grows.
Normalized, well-indexed database schemas designed for your specific query patterns and growth trajectory.
Find and fix slow queries with proper indexing, query restructuring, and execution plan analysis.
Redis, in-memory caching, and CDN caching to reduce database load and serve data faster.
Zero-downtime migrations, read replicas, connection pooling, and horizontal scaling strategies.
Analyze your current schema, query patterns, and performance metrics to identify bottlenecks.
Create a prioritized list of schema changes, index additions, and query rewrites.
Apply optimizations with zero-downtime migrations and before/after performance comparisons.
Set up query performance monitoring and alerts so you catch slow queries before users do.
For most startups, PostgreSQL is the best default — it's powerful, scalable, and handles both relational and JSON data well. Firebase/Firestore is great for real-time apps with simpler data needs. MongoDB works well for document-heavy use cases.
Almost certainly. Most slow queries are caused by missing indexes, inefficient joins, or N+1 query patterns. These are usually straightforward to fix once identified.
Yes. I've migrated data between PostgreSQL, MySQL, MongoDB, Firebase, and custom systems. I handle the schema translation, data transformation, and verification.
Let's talk about your project. I'll give you an honest assessment and a clear plan to move forward.