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Fintech Rust Developers in Amsterdam

Designed low-latency messaging systems using Kafka and Aeron in Rust. Developed high-performance data processing pipelines integrated with PostgreSQL for real-time analytics.

• Designed low-latency systems with Kafka
• Built data pipelines in Rust
• Integrated PostgreSQL for analytics

Designs distributed event-streaming and data-platform systems for payments and personalized media, including Kafka and ClickHouse pipelines processing billions of records. Production work spans Scala, Java, Kotlin, and Rust services with migrations across messaging, storage, and service architectures.

• Implemented event-sourced and CQRS service architectures
• Used Kafka, gRPC, and Protobuf for interservice transport
• Deployed workloads through Kubernetes and Argo CD
• Instrumented systems with Prometheus, Grafana, and Jaeger

Provided expert consulting on Rust-based system architectures for financial services. Developed high-performance data processing pipelines for real-time analytics. Integrated cross-platform solutions with C# and Python for enterprise clients.

• Consulted on Rust architectures
• Developed real-time data pipelines
• Integrated cross-platform solutions

Engineered backend systems using Rust and Go, emphasizing performance and concurrency. Developed low-level networking protocols in C and Assembly.

• Utilized Python for scripting and automation tasks
• Contributed to open-source projects in the Rust ecosystem
• Implemented microservices architecture for scalable applications

Refactored embedded GNSS software from Python to Rust around a hardware-abstraction microservice and ZeroMQ broker. Built a single-threaded Tokio data path for Bluetooth, Radino, and CAN interfaces, using exclusive handle ownership and latest-wins channels to control latency and staleness.

• Yocto-based embedded OS deployment automation
• Trait-based correction-feed and output-sink contracts
• ZMQ Pub/Sub and Push/Pull abstractions
• Independent GNSS read and correction-write tasks

Designed Rust execution and storage infrastructure for distributed ledgers, including a payment engine benchmarked at multi-million transactions per second and replay protection using per-account nonces and intent deduplication. Built full-node storage integration, chain reorganization handling, and zero-knowledge-compatible data-availability verification, raising production throughput to 5,000 TPS.

• Consensus fork selection and state finalization
• Celestia data publishing integration
• Prover and verifier storage coordination
• Production observability infrastructure

Engineered low-latency trading platforms using Rust and C++, achieving nanosecond precision in order execution. Implemented high-frequency trading algorithms optimized for multi-threaded processing.

• Designed memory-efficient data structures in Assembly
• Enhanced network throughput with custom protocol optimizations
• Implemented risk management systems in Python

Led the development of robust enterprise systems using C++ and Rust, focusing on performance and scalability. Designed SQL databases for efficient data retrieval and storage.

• Developed cross-platform applications with Java
• Optimized scripting with BASH for automation
• Implemented secure data handling practices

Contributed to the development of concurrent data processing services using Rust and Go. Participated in designing parallel algorithms for high-throughput computing tasks in Python. Assisted in building scalable backend services with Java.

• Implemented multi-threaded applications for improved performance
• Developed RESTful APIs with efficient concurrency handling
• Enhanced system reliability through robust parallel processing