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James Johnson

Freelancer

Backend Developer (Node.js / PostgreSQL)

Valencia, Spain

Backend Developer (Node.js / PostgreSQL)

I've built backend systems for 5 years, mostly Node.js with PostgreSQL, for startups that need a system that won't need a rewrite after the first real growth spurt. I design schemas with normalization where it matters, write reversible migrations, and set up authentication and background jobs without over-engineering for a scale that isn't there yet. I don't build frontend interfaces beyond simple admin panels — for a real client-facing UI I recommend a frontend developer. Before quoting, I ask for a spec or a short call so pricing isn't a guess.

Backend Developer (Node.js / PostgreSQL)

Skills

Node.jsPostgreSQLExpressNest.jsREST APIDatabase designAuthenticationQuery optimization

Portfolio

Booking service API — Backend Developer (Node.js / PostgreSQL)

Backend — REST API for a booking service with overlap-checked scheduling endpoints.

CRM database schema — Backend Developer (Node.js / PostgreSQL)

Database — Designed a normalized schema for an internal CRM with indexes for frequent filters.

Reporting module optimization — Backend Developer (Node.js / PostgreSQL)

Database optimization — Sped up slow aggregate queries using materialized views and composite indexes.

Multi-tenant SaaS backend — Backend Developer (Node.js / PostgreSQL)

Backend — Backend architecture supporting multiple isolated client workspaces on one codebase.

Webhook processing service — A queue-backed service processing third-party

Backend — A queue-backed service processing third-party webhooks reliably under load.

Booking service API — case 7B9043

Backend — REST API for a booking service with overlap-checked scheduling endpoints. A second, similar engagement for a different client.

CRM database schema — case 658FB1

Database — Designed a normalized schema for an internal CRM with indexes for frequent filters. A second, similar engagement for a different client.

Reporting module optimization — case 8EBBDD

Database optimization — Sped up slow aggregate queries using materialized views and composite indexes. A second, similar engagement for a different client.