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rdmrcv/README.md

Hi there 👋

I design and run low-latency, high-throughput backends in Go—event-driven services that stay fast, observable, and cost-efficient at scale. WebSockets infrastructure for hundreds of thousands of concurrent viewers and Kafka→ClickHouse analytics that ingest ~1M events/day.

My focus: predictable throughput, low tail latency, cost-efficiency, and operability under load. I favor simple, measurable designs (clear SLIs/SLOs, backpressure, idempotency) and invest in observability, so failures are shallow and cheap.

What I bring:

  • Throughput & reliability: event-driven Go services with bounded queues, circuit-breakers and observation instrumentation.
  • Data at speed: Kafka / Redpanda (partitioning & keys that match access patterns), ClickHouse (aggregated views, TTLs, rollups).
  • Ops rigor: Kubernetes, GitOps CI/CD, Terraform & Ansible for infrastructure as code (IaC), alerting that reflects user impact.
  • Cost discipline: lean storage/egress, right-sizing, and aggregation strategies that cut waste.

Core stack: Go, MongoDB, Kafka, Redpanda, ClickHouse, Redis, WebSockets, Kubernetes, GitOps, Prometheus/Grafana. Industries: live video, collaborative streaming, usage analytics, SaaS backends.

Open: Remote (EU). Relocation: France.

  • 😎 I created a Brandis backend architecture, organize processes, and implementing it.
  • 📺 If you found my profile fit for your company — we can discuss this: LinkedIn, email 😉

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