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Scala Developers in Amsterdam

Builds distributed backend systems for payments and high-volume event streaming, including Kafka and ClickHouse pipelines processing billions of records. Has led product delivery, data-platform migrations, and engineering standards across production services.

• Personalized recommendation and ad-tech services for multi-device video playback
• Event-sourced CQRS services with gRPC and Protobuf contracts
• Prometheus, Grafana, and Jaeger observability across Kubernetes workloads
• Rust components for performance-sensitive backend processing

Designed and implemented complex distributed systems for financial services, focusing on high-frequency trading platforms with sub-millisecond latency. Architected scalable data processing pipelines to handle terabytes of transactional data in real-time.

• Optimized JVM performance for large-scale enterprise applications
• Developed custom SQL query optimizers for financial databases
• Integrated TypeScript front-end with complex Java back-end systems
• Led Python-based machine learning model deployment in production

Developed scalable messaging systems using Kafka and ActiveMQ, optimizing data flow for real-time analytics. Architected microservices with ZIO to enhance fault tolerance and concurrency control in distributed environments.

• Designed high-throughput data pipelines with Protobuf serialization.
• Optimized PostgreSQL queries for complex reporting applications.
• Implemented event-driven architectures for financial transaction processing.