Cloud-native .NET backend engineer building and running production systems for data-intensive and event-driven workloads.

Most of my work sits at the intersection of high-load backend services, time-series data, and messaging systems. I design and operate C# and .NET services backed by PostgreSQL and TimescaleDB, connecting them through RabbitMQ, Kafka, and Pub/Sub on Google Cloud.

I've worked in both enterprise and startup environments, where I usually own backend platforms end-to-end:
• API design and data modeling
• CI/CD and deployments
• monitoring, reliability, and on-call

I care less about architecture diagrams and more about systems that stay predictable under real traffic.

I work with cloud platforms including Google Cloud, as well as AWS and Azure when projects require it. For automation, data pipelines, and integrations, I use Python, JavaScript, and Bash.

What I enjoy most is taking messy, real-world data and turning it into reliable, observable backend systems that engineers and product teams can actually trust.