Backend

SQL

SQL is part of how I make product data usable: shaping schemas, queries, and relationships so features stay reliable as they grow.

Category

Backend

Proof

3 applied examples

Related roles

2 resume items

Related projects

0 linked projects

How I use it

I use SQL as part of feature design, not just storage plumbing. Data shape affects what the UI can do cleanly, how APIs behave, and where product complexity shows up.

That is why schema and query decisions need to stay close to product intent.

Where I have applied it

SQL shows up in current engineering work and traces back to the early technical training that established my foundation in application development.

Why it matters

Good SQL work improves product reliability and keeps complexity from leaking into higher layers of the stack.

Proof points

Used in current product delivery where data-backed behavior matters.
Part of my technical base since early application development education.
Supports practical work in APIs, content models, and product architecture.

Where I have applied it

Software Engineer · 35

Software engineer contributing shipped features across CMS sites, B2B SaaS products, and digital tools inside active client delivery teams.

Application and multimedia Development (EQF4) · Application and multimedia Development (EQF4)

Technical foundation in web development, databases, and core programming concepts across multiple languages.

Related skills

Node.js

Node.js is part of my delivery stack when product features need backend integration, APIs, or utility services without leaving the JavaScript ecosystem.

API Design

API design is where I connect product behavior to durable system boundaries, so frontend needs and backend capabilities stay aligned.