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

Managed databases (PostgreSQL/MySQL) with backups and failover.
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.
AWS RDS is a solid choice when you want a relational database to run reliably without spending time on daily operations work. I use RDS frequently for PostgreSQL and MySQL when availability, security and predictable maintenance matter more than managing everything yourself.
RDS is a great fit for web applications, online shops and internal tools where data must remain consistent and transactional. It works especially well for teams who prefer managed services but still want control over engines, parameters and scaling.
A clean setup includes proper networking (VPC, subnet groups, security groups), automated backups/snapshots, clear maintenance windows and meaningful alerts. For high availability I plan Multi‑AZ, and for performance I focus on query optimisation, the right indexes and—when needed—read replicas.
I apply least‑privilege access (IAM), encryption at rest (KMS) and in transit (TLS), and keep environments separated. To stay cost‑efficient, sizing, storage choices, connection pooling and monitoring (e.g. Performance Insights) help spot bottlenecks early.
RDS is a strong option when you want your database to “just work”—with professional operational standards and without unnecessary overhead.