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Data Systems 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 distributed real-time data processing systems utilizing Kafka and Scala, optimizing event-driven architectures for high-throughput environments. Spearheaded the development of a microservices framework in GoLang, enhancing system scalability and resilience across cloud platforms. Led the migration of legacy databases to modern Postgres solutions, significantly improving query performance and data integrity.

• Architected consensus protocols for distributed databases
• Developed custom caching solutions to reduce latency
• Integrated advanced monitoring tools for system diagnostics
• Optimized JVM performance for large-scale applications

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.