SQL (Structured Query Language) is the standard language for relational databases.
Whether MySQL, PostgreSQL or Firebird — SQL is the basis for modelling, querying and optimisation.
Why SQL?
- Universal: Supported by all relational DBMS.
- Powerful: From simple SELECTs to complex joins, aggregations, window functions.
- Optimisable: Indexes, partitioning and caching for high performance.
- Essential: Solid SQL is required for any backend.
Typical use cases:
- Data modelling and normalisation
- Reports and business intelligence
- High‑performance queries in web apps
- Migrations and data integration
Services with SQL
- Query tuning: Cut runtimes by up to 90%.
- Indexing & partitioning: Efficiently handle large datasets.
- Migrations: Move data across MySQL, PostgreSQL, Firebird.
- Data analysis: Complex reports, materialised views.
Example projects
- Optimised slow e‑commerce queries (filters, search).
- Reporting system with aggregated revenue and live dashboards.
- Migration of millions of records to new systems.
Conclusion
SQL is the foundation of database work.
I don’t just tune queries — I design scalable data models that stay fast and reliable over time.