Designed and deployed a microservices web platform for real-time technical data.
Full-stack · Data systems
Real-Time Data Platform
A microservices-based web platform for collecting, transforming, storing and visualizing technical data streamed through MQTT.
- Role
- Full-Stack Developer Intern · Web Applications & Data
- Organization
- Hydrogen Research Institute
- Period
- 2023
03
MQTT→ETL→Storage→API→React
01 · Context & problem
Real-Time Data Platform
Continuous technical data needs a reliable, observable path from ingestion to inspection. The platform combined real-time messaging, ETL, storage and visualization behind clear service boundaries.
02 · What I built
Built frontend and backend services plus interfaces between platform components.
Implemented automated ETL pipelines to collect, transform and store MQTT data streams.
Containerized services and contributed to CI/CD, data modeling and architecture documentation.
03 · System flow
01MQTT
→02ETL
→03Storage
→04API
→05React
04 · Engineering decisions
Messaging decouples producers and consumers
MQTT separates acquisition from downstream transformation and visualization.
Services stay deployable independently
Containerization supports repeatable environments and clearer runtime ownership.
Data flow remains explicit
ETL, persistence and visualization remain separate concerns rather than one monolithic process.
05 · Stack
ReactNode.jsMongoDBPythonMQTTDockerKubernetesJenkins
Project details are based on verified résumé content and public project material only.
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