Data & InfrastructureBattery telemetry
CellCloud
Battery telemetry at scale, queried in under 30 seconds.
- Role
- Architect and lead engineer at Igknight Tech
Overview
Architected a battery-data visualization platform on Python and Flask, built to explore datasets far past the point where a naive query plan gives up. The work was equally about the query layer and the live layer: analysts needed both history and a view that updates while they watch it.
What I built
- Architected the Python/Flask visualization platform
- Implemented real-time data streaming over WebSockets
- Optimized AWS Athena queries across massive datasets
- Brought load times under 30 seconds on the heaviest views
Stack
- Python
- Flask
- AWS Athena
- WebSockets
- PostgreSQL