Database Management & Optimization
I design and optimize database systems that form the scalable foundation for your applications. My expertise covers both SQL and NoSQL technologies, focusing on query performance, data integrity, and cost-efficient scaling. From schema design to sharding strategies, I ensure your databases handle production workloads while maintaining sub-millisecond response times for critical operations. This includes index optimization, connection pooling, replication setups, and disaster recovery planning.
Development Services
Relational Database Design
Expert schema normalization with proper indexing strategies and constraint definitions. Implementation of partitioning for large datasets and stored procedures for complex business logic.
NoSQL Database Configuration
Document model design for MongoDB with optimal indexing and aggregation pipelines. Wide-column DB setup for Cassandra including compaction strategy tuning and multi-DC replication.
Query Optimization & Performance Tuning
EXPLAIN plan analysis, index hinting, and query rewriting to eliminate full table scans. Implementation of materialized views and covering indexes for frequent access patterns.
High Availability & Replication
Configuration of PostgreSQL streaming replication, MySQL Group Replication, or MongoDB replica sets with automatic failover and read scaling capabilities.
Database Migration & Modernization
Zero-downtime schema migrations using tools like Flyway/Liquibase. Legacy database upgrades with data transformation pipelines and compatibility layers.
In-Memory Caching Solutions
Redis cluster deployment with LRU eviction policies and persistence options. Implementation of cache invalidation strategies and distributed lock patterns.
Benefits
Millisecond Response Times
Optimized queries with proper indexing deliver consistent performance even with growing datasets through continuous query plan analysis.
Cost-Efficient Scaling
Right-sized database instances with vertical scaling strategies and horizontal scaling preparations to control cloud spend while maintaining headroom.
Data Integrity & Safety
ACID compliance where needed with proper transaction isolation levels. Automated backup verification and point-in-time recovery testing.
Future-Proof Architecture
Database-agnostic application design with repository patterns and connection abstractions that allow technology pivots without rewrite.
Development Process
Workload Analysis & Modeling
Profile application data access patterns through query logs and APM tools to identify hot tables and problematic joins before design begins.
Schema Design & Index Strategy
Create normalized schemas with denormalization hotspots for performance-critical paths, accompanied by composite indexes matching query patterns.
Performance Benchmarking
Load testing with production-like data volumes using pgbench/sysbench to validate throughput and latency SLAs under concurrent user loads.
Monitoring & Continuous Tuning
Deploy database-specific dashboards like PGHero, MongoDB Ops Manager to track long-running queries and index usage for ongoing optimization.