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Data Systems Rust Developers in United Kingdom

Built data pipelines using SQL and Snowflake for large-scale data analysis. Developed containerized applications with Docker and Podman, enhancing deployment efficiency.

• Integrated R for statistical data analysis
• Optimized Python scripts for data transformation
• Developed scalable data solutions for enterprise needs

Led the development of cross-platform pipeline tools for media processing, utilizing Rust for high-performance requirements. Developed automation scripts to streamline workflows in Linux and macOS environments.

• Integrated complex data transformations using Python
• Built CI/CD pipelines for scalable deployment processes
• Enhanced tool interoperability with custom scripting solutions

Builds backend systems, desktop software, API integrations, and AI automation workflows across Rust, Python, and native C++. Recent work includes payment reconciliation, operational platforms, distributed services, and document-context retrieval pipelines.

• Maintains PostgreSQL, MySQL, DynamoDB, and SQLite systems
• Deploys infrastructure with Kubernetes and Terraform
• Implements REST APIs and webhook integrations
• Builds LLM agents with n8n and Make

Led the development of asynchronous Rust systems using tokio for scalable applications. Designed Java and Scala services with Spring Boot and cats for enterprise solutions. Focused on enhancing concurrency and performance in distributed environments.

• Led asynchronous Rust system development
• Designed Java/Scala enterprise services
• Enhanced concurrency in distributed systems

Architected complex systems using Rust and Haskell, focusing on functional programming paradigms. Developed cross-platform applications on Linux environments.

• Architected systems with Rust and Haskell
• Focused on functional programming paradigms
• Developed cross-platform applications on Linux

Developed cross-platform applications using Rust and Kotlin, focusing on high-performance data processing. Engineered SQL-driven analytics tools for real-time data insights.

• Designed JVM-based microservices in Scala
• Optimized Python scripts for data analysis
• Implemented concurrency models in Java

Leads backend architecture for a production trading platform handling real user funds, with single-writer state, idempotent workflows, atomic settlement, and fail-closed reliability controls. Builds low-latency Rust services using Tokio and Axum, including real-time gRPC and WebSocket data pipelines.

• Normalized multi-source market data with freshness handling
• Designed bounded-channel backpressure and workload-isolated job queues
• Operated PostgreSQL, Redis, ClickHouse, Kafka, and Flink systems
• Developed Solana programs for on-chain transaction workflows

Led development of distributed systems using Rust and Java, focusing on high concurrency. Spearheaded integration testing frameworks in Python to enhance system reliability.

• Built distributed systems in Rust and Java
• Focused on high concurrency solutions
• Led Python integration testing frameworks

Built payment, KYC, authentication, and transaction microservices in Go and Spring Boot for BNPL and logistics platforms. Designed Kafka-backed payment processing and PostgreSQL systems handling $250M in shipments, while achieving sub-120 ms p99 latency at 1,000 requests per second through sharding and Redis caching.

• WhatsApp onboarding for 1M+ insurees
• M-Pesa and mobile-wallet reconciliation
• Terraform and Kubernetes infrastructure
• BigQuery and Snowflake data workflows

Led a team in designing a distributed system for high-frequency trading platforms using Rust and C++. Developed a cross-language communication protocol leveraging Python and Kotlin for data interchange.

• Engineered C-based embedded systems for IoT devices
• Optimized C++ algorithms for computational efficiency
• Integrated Kotlin with backend services for seamless operations

Built robust data pipelines for real-time analytics using Rust and Python. Specialized in cross-platform development with extensive experience in Linux and macOS environments.

• Automated deployment scripts with bash and git
• Streamlined ETL processes for large datasets
• Integrated third-party APIs for data enrichment

Architected a real-time data processing platform using Kafka and Redis for high-throughput applications. Developed scalable backend systems with Rust for efficient relational database interactions.

• Implemented data serialization techniques for optimized network communication
• Designed event-driven architectures for responsive data handling
• Optimized Python scripts for complex data transformations

Specializes in functional programming and type-safe systems using Scala and Rust. Developed robust backend services leveraging OCaml and ReasonML.

• Developed type-safe systems with Scala
• Leveraged OCaml for backend services
• Specialized in functional programming

Built Python ingestion pipelines that stream, clean, validate, and batch-load inconsistent feeds into databases. Delivered a full-stack review application with authentication, authorization, API endpoints, and structured workflows for evaluating AI-generated results.

• Created JavaScript localization extraction and reconstruction tooling
• Automated payroll CSV validation with Python and Tkinter
• Implemented GitHub Actions multi-environment deployments
• Built Leaflet-based geographic event mapping