MongoDB Developer
My MongoDB Experience
MongoDB is my go-to database when a project needs flexible document schemas and rapid iteration. Across 3 years I have designed schemas with careful embedding-vs-referencing trade-offs, built aggregation pipelines for analytics dashboards, and tuned queries with compound indexes. Notable projects include a travel management platform aggregating multi-provider itineraries, a music translation service processing thousands of Spotify tracks, and a customer feedback dashboard with sentiment analysis — all backed by Mongoose for validation and Prisma where type-safe access matters most.
Related Technologies
PostgreSQL
Relational data integrity matters — which is why PostgreSQL backs the majority of my production work. I design normalised schemas, write complex queri...
AWS
Every production application I ship lands on AWS. Across 2 years of hands-on cloud work, I manage infrastructure spanning EC2 compute instances, S3 st...
Docker
Containerisation is a non-negotiable in my deployment workflow. I write multi-stage Dockerfiles to minimise image sizes, orchestrate local development...
Redis
Speed-critical features demand an in-memory data store, and Redis is the tool I reach for. Across 2 years my implementations include caching hot data ...
Need a MongoDB Developer?
With 3+ years of MongoDB experience and 0 production projects, I can help you build your next application.