I build high-scale, event-driven data platforms end to end, from the first C-level slide deck to the production-grade implementation and the daily engineering.

Strong background across every database paradigm (relational SQL, column stores, time-series, vector, graph) and every common communication style (REST, GraphQL, messaging, event sourcing).

My toolchain of choice: Kafka, Spring Boot / Python, stream processing with Apache Flink, Apache Spark and Kafka Streams. Kubernetes for orchestration, Terraform for infrastructure.


On my last large engagement I led an event-streaming platform that processed multiple gigabytes of data per day, from the first slides to over four years of daily implementation. By project end, juniors and seniors could carry it forward independently.

Happy to discuss your next challenge.