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Data Systems Rust Developers in Netherlands

Engineered a high-performance computing platform using Scala for big data analytics. Developed distributed systems with Java to handle petabyte-scale data processing. Designed a fault-tolerant microservices architecture leveraging Rust for critical financial applications.

• Contributed to the development of a C++ compiler optimization project.
• Automated deployment processes using Bash scripting.
• Developed a machine learning pipeline in Python for predictive analytics.

Develops computer vision systems using Rust and Python, with experience in real-time image processing and GPU-accelerated computations with GLSL.

• Implemented real-time image processing
• Utilized GPU acceleration with GLSL
• Developed vision systems with Rust

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

Architected distributed systems with a focus on scalability and high availability. Applied domain-driven design principles to streamline AI/ML application development.

• Led system analysis for enterprise-level applications
• Implemented event-driven architectures with Rust
• Optimized machine learning pipelines for performance

Developed real-time data processing platforms using Rust and Python. Optimized SQL databases for high throughput and implemented robust data pipelines with Docker.

• Built real-time data platforms
• Optimized SQL for high throughput
• Implemented data pipelines with Docker

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

Architected data processing pipelines with Rust and Scala for large-scale analytics. Developed distributed systems for real-time data ingestion and processing.

• Implemented ETL processes using Python and Bash
• Optimized JVM-based applications with Kotlin
• Conducted data warehousing with Java

Architected a high-availability distributed database system using Rust, focusing on fault tolerance and scalability. Developed a real-time analytics platform in Scala for processing petabyte-scale datasets. Spearheaded the design of a microservices framework in Go, enhancing modularity and deployment speed.

• Designed custom load balancing solutions for distributed systems
• Implemented security protocols in Rust for data protection
• Developed a high-performance networking library

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

Constructed distributed systems with a focus on high concurrency and low latency. Developed infrastructure automation scripts, enhancing deployment efficiency and reliability.

• Optimized database queries for large-scale data operations
• Implemented multi-threading in C++ for performance gains
• Created a CI/CD pipeline using Go and Python

Engineered backend systems using Scala and Rust, focusing on high-availability and real-time data processing. Developed scalable microservices with TypeScript and Spring Boot for enterprise solutions.

• Implemented Kotlin for reactive programming
• Optimized Java applications for distributed systems
• Developed REST APIs for seamless integration

Architected distributed systems leveraging Kafka and ClickHouse for real-time data processing. Developed scalable backend solutions in Rust and Scala.

• Architected real-time distributed systems
• Leveraged Kafka and ClickHouse
• Developed backend in Rust and Scala

Engineered cloud-based solutions using Clojure and Scala for distributed systems. Developed high-performance data processing pipelines in Rust. Integrated AWS services for scalable application deployment.

• Engineered cloud-based solutions
• Developed data processing pipelines
• Integrated AWS services

Developed backend systems with a focus on network protocol implementation using Rust and C++. Utilized TCP/IP socket programming for real-time data transmission.

• Built SQL databases for data-driven applications
• Implemented C# services for enterprise solutions
• Enhanced C modules for system performance