I’m a Senior .NET Developer with a focus on backend architecture and high-load distributed systems on Azure. I enjoy taking ownership of technical decisions — from data modelling and service design through to deployment and production stability.
In my most recent role I architected a cloud-native vehicle tracking platform from scratch, which now handles real-time telemetry from 20,000+ vehicles at roughly 1–2k events per second. I designed the full backend stack: microservices in .NET/C#, PostgreSQL with TimescaleDB for time-series data, MS SQL Server, Redis caching, Kafka for event streaming. Geospatial data was surfaced through Google Maps and Mapbox integrations.
Stack: .NET / C#, Azure, PostgreSQL, TimescaleDB, MS SQL Server, Redis, Kafka, Kubernetes, Docker, Google Maps, Mapbox.
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Architected a cloud-native, high-load vehicle tracking platform from greenfield to production, processing telemetry from 20,000+ vehicles at 10–20s intervals (~1–2k events/sec). Designed microservices on Azure (.NET/C#) with PostgreSQL + TimescaleDB (45+ GB time-series data), MS SQL Server, Redis caching, Kafka for event streaming, and Kubernetes for horizontal scalability; delivered visualization via Google Maps / Mapbox.
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