A slow or poorly structured database quietly becomes the bottleneck for everything built on top of it. I design database schemas that hold up under real-world usage and optimize existing databases that have started to strain under growth.
I work with relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL databases (MongoDB, Redis), covering schema design, normalization decisions, indexing strategy, and query optimization. Every recommendation is based on how your application actually queries data, not generic best practices.
For growing businesses, I also handle data migrations between systems, set up backup and replication strategies, and plan for scaling — read replicas, sharding, or caching layers — before performance becomes an emergency.
Dealing with slow queries or a database that's outgrown its design? Contact me today for a free consultation.
I take care of the entire development process, so you can focus on running your business. From requirements gathering to post-deployment support, I handle every aspect to ensure a seamless experience.
I design normalized, well-indexed schemas for new applications, and review existing schemas for structural issues that will cause pain as your data grows.
I profile slow queries, add or restructure indexes, and rewrite inefficient logic to bring response times down — often the single highest-impact fix for a sluggish application.
I plan and execute migrations between database engines or versions, with validation steps to ensure data integrity and minimal downtime during cutover.
I set up automated backups, replication for high availability, and scaling strategies like read replicas or caching layers, so your database keeps up as usage grows.