We engineer high-throughput SQL database architectures that power mission-critical spatial systems and enterprise workloads. From PostgreSQL & PostGIS spatial indexing to MySQL and SQL Server clustering, we ensure strict data integrity, optimal indexing, and millisecond query execution.
From relational schema design and PostGIS spatial optimization to enterprise clustering, migrations, and performance tuning, we build bulletproof database foundations.
Designing normalized relational structures, table partitioning, domain types, and strict foreign key integrity.
Geospatial column modeling, spatial relationship joins, distance calculations, and raster elevation data storage.
Analyzing EXPLAIN ANALYZE execution plans, B-Tree/GiST/BRIN indexing, and buffer cache optimization.
Phased data migration pipelines using logical replication, Liquibase, and Flyway versioned schemas.
Patroni-based automated failover, synchronous and asynchronous read replicas, and PgBouncer connection pooling.
PostgreSQL Row-Level Security (RLS), SSL connection encryption, transparent data encryption (TDE), and audit trails.
A battle-tested database engineering approach focused on data integrity, high concurrency, and zero data loss.
Schema analysis, query profiling, index bloat, and concurrency bottlenecks.
Relational models, PostGIS geometry types, and partitioning schemes.
DDL scripts, migration execution, and connection pool configuration.
Load testing with pgbench, spatial query stress, and failover validation.
Continuous monitoring, autovacuum tuning, and disaster recovery validation.
We work with the industry standard relational database engines and spatial extensions for ultimate reliability.
PostgreSQL 16, PostGIS 3.4, GiST/BRIN indexes, PgBouncer & Patroni
MySQL 8.0, Microsoft SQL Server, Oracle DBMS, Liquibase & Flyway