Data models & queries
Solid schemas, indexes and queries for stable performance.

Powerful open‑source database with advanced features.
Solid schemas, indexes and queries for stable performance.
Dashboards, exports and pipelines — from SQL to BigQuery.
Find bottlenecks, add caching and optimise for real workloads.
PostgreSQL is my first choice when data integrity, flexible modelling and advanced features matter. Whether it’s classic transactions, JSONB‑based models or complex queries, PostgreSQL provides a strong foundation that doesn’t hit limits quickly as requirements grow.
I prefer PostgreSQL for systems with demanding data models—headless CMS, PIM/ERP‑adjacent applications or platforms with many relations. JSONB, window functions and materialised views help not only store data but also analyse it efficiently without immediately adding a separate analytics stack.
The biggest levers are schema design, indexes, partitioning and clean query plans. Roles, policies and row‑level security are important when teams or tenants must be separated reliably. In operations, connection pooling, PITR backups and monitoring (e.g. via pg_stat_statements and Prometheus/Grafana) keep the database predictable.
Depending on workload, streaming replication, hot standby and automated failover (e.g. Patroni) can be used. What matters is that architecture and runbooks match the organisation—and that recovery is tested before it’s needed.
PostgreSQL combines stability with modern features and is an excellent choice for ambitious web platforms. With a clean setup it stays performant and maintainable as data and complexity increase.