SaaS · Hospitality
Revinate
Enterprise hospitality data at scale.
- Role
- Full-Stack Developer
- Period
- 2021 – 2022
- Links
- Website ↗
Outcomes
Platform served 5,000+ hotel properties
Real-time data pipelines with Kafka and Protobuf
Contributions spanning four service stacks
The problem
Hotel groups run marketing and revenue on guest data scattered across property systems. At enterprise scale that demands reliable, real-time pipelines across distributed services.
The approach
Contributed across a distributed microservices platform: React frontends, Node.js, Python, and Java services, and real-time data pipelines built on Kafka with Protobuf schemas.
Stack
- React
- Node.js
- Python
- Java
- Kafka
- Protobuf
- Microservices
