Database Architecture & Performance
Your database is the foundation of your application. Poor database design leads to performance problems, scaling challenges, and technical debt. I bring expertise in designing, optimizing, and scaling databases for modern web applications.
Database Design
Schema Architecture
Normalized schema design following best practices
Denormalization strategies where performance requires it
Relationship modeling (one-to-many, many-to-many, polymorphic)
Index strategy for optimal query performance
Partitioning strategies for large tables
JSON/JSONB usage in PostgreSQL for flexible data
Data Modeling
Domain modeling and entity relationship design
Choosing between SQL and NoSQL for different use cases
Multi-tenancy patterns (schema per tenant, row-level security, shared database)
Audit trails and historical data tracking
Soft deletes vs hard deletes strategy
Database Performance
Query Optimization
Query analysis and optimization (EXPLAIN ANALYZE)
Index optimization (B-tree, GiST, GIN, partial indexes)
Query rewriting for better performance
N+1 query elimination
Pagination strategies for large datasets
Full-text search optimization
Caching Strategies
Redis for application-level caching
Query result caching
Session storage and rate limiting
Cache invalidation strategies
CDN integration for static assets
Database Scaling
Vertical Scaling
Connection pooling (PgBouncer, pgpool)
Configuration tuning for your workload
Memory optimization
Monitoring and alerting setup
Horizontal Scaling
Read replicas for read-heavy applications
Primary-replica replication setup
Load balancing across replicas
Handling replication lag
Sharding strategies (when needed)
Operational Excellence
Backup & Recovery
Automated backup strategies
Point-in-time recovery setup
Disaster recovery planning
Backup testing and validation
Monitoring & Observability
Slow query logging and analysis
Performance metrics dashboards
Alerting for critical issues
Database health monitoring
Security
Row-level security (RLS) for multi-tenant applications
Encryption at rest and in transit
SQL injection prevention
Least privilege access control
Technologies I Work With
Primary Expertise
PostgreSQL (15+): My go-to database for most applications
Redis: Caching, sessions, queues, real-time features
Additional Experience
SQLite: Embedded databases, edge computing
MySQL: Legacy system support
ElasticSearch: Full-text search and analytics
ORMs & Query Builders
Prisma: Modern ORM with excellent TypeScript support
Drizzle ORM: Lightweight, type-safe SQL query builder
Knex.js: Query builder for complex SQL
TypeORM: Full-featured ORM for TypeScript
Ideal For
Applications experiencing database performance issues
New products needing proper database architecture from day one
Companies planning for scale and wanting to avoid future bottlenecks
Teams migrating between database systems
Products with complex data requirements needing expert design
Case Study
For Bondlayer, I designed a complex PostgreSQL schema handling user projects, real-time collaboration state, and generated code. The schema supported thousands of concurrent users with optimized queries and efficient caching strategies.
Deliverables
Database schema design and documentation
Migration scripts and rollback procedures
Query optimization and index recommendations
Performance testing and benchmarking results
Monitoring and alerting setup
Database best practices documentation
Velocity Paradigm
Traditional engineering methods usually take several weeks or even months to reach MVP. Through my AI-augmented workflows and 15+ years of experience with high-end no-code building tools, I leverage acceleration methods that condense these usual timelines significantly without sacrificing architectural integrity or security.