Distributed & Event-Driven Systems

In a distributed system, partial failure is the normal state, not the exception — the hard part is staying correct when a component is slow, restarting or briefly unreachable. I design event-driven architectures around durable streaming and queues like Kafka, with the patterns that make them trustworthy at scale: idempotent consumers, explicit delivery guarantees, backpressure and retries with care taken over ordering. The result scales horizontally and degrades gracefully, handling high-throughput data without quietly dropping or duplicating the records the business depends on.