Hire Freelance
Data Systems Rust Developers
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Built through years working with teams and engineers in the Rust ecosystem.
We specialize in systems programming, database internals, and performance-critical infrastructure.
Focused, relevant introductions from a curated network.
Available Developers
Staff Data Engineer
Designed large-scale data processing systems using Apache Spark and Scala. Implemented Rust-based services for real-time analytics on Databricks platform.
- Built ETL pipelines for structured and unstructured data
- Optimized SQL queries for performance in data warehouses
- Integrated Python scripts for data transformation tasks
Senior Software Engineer
Developed resilient backend systems using Rust and Elixir for cloud environments. Designed microservices architectures to enhance scalability and maintainability. Implemented data-intensive applications with advanced SQL optimizations.
- Developed resilient cloud backend systems
- Designed microservices architectures
- Implemented data-intensive applications
Senior Data Systems Engineer
- Led migration of monolithic system to microservices architecture
- Built high-throughput data pipeline processing 1M+ events per second
- Designed and implemented real-time monitoring and alerting platform
Senior Software Engineer
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
AI Senior Engineer
Architected large-scale machine learning pipelines for predictive analytics in finance. Developed custom ETL processes to handle terabytes of data efficiently.
- Built AI models for real-time fraud detection systems
- Designed distributed data processing frameworks using Scala
- Implemented feature engineering techniques for improving model accuracy
Tech Lead
Led development of distributed systems using NodeJs and Rust for real-time data processing. Implemented Kafka for event-driven architectures to handle high-throughput data streams. Utilized Redis for caching and fast data access.
- Integrated GitlabCI for automated testing and deployments
- Developed monitoring solutions with Kibana
- Optimized data flow with advanced queuing techniques
Staff Software Engineer
Architected scalable data processing systems with Scala and FS2 for large-scale analytics. Developed RESTful APIs using Http4s, ensuring high throughput and low latency.
- Led migration to cloud infrastructure using Kubernetes
- Enhanced data serialization with Circe for JSON processing
- Designed event-driven architectures using Kafka
Senior Software Engineer
Architected large-scale microservices using REST, GraphQL, and gRPC for diverse applications. Spearheaded API design to support high-traffic environments and ensure efficient data flow. Led system design initiatives for cross-platform integration.
- Implemented GraphQL for dynamic query handling in complex systems
- Redesigned legacy systems for improved scalability and maintainability
- Conducted performance tuning for gRPC services in cloud environments
Staff Software Engineer
Engineered distributed systems with Scala and Rust, focusing on fault tolerance and scalability. Applied functional programming techniques to simplify complex algorithms.
- Designed domain-driven architectures
- Optimized Python applications for performance
- Developed real-time data streaming solutions
Founder - Tech Lead
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
Pipeline Developer
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
Software Engineer (Fullstack)
Developed complex web applications with TypeScript and React, focusing on scalable front-end architectures. Integrated third-party APIs using Remix and SvelteKit to enhance application capabilities.
- Implemented state management solutions in Vue.js
- Optimized front-end performance with lazy loading
- Built responsive UI components across multiple frameworks
Lead Engineer, Managing Director
Architected scalable microservices in Rust and Go for financial platforms. Led development of a high-throughput SQL database engine.
- Designed TypeScript frontend for a complex data visualization tool
- Integrated Rust-based modules into existing C and JavaScript systems
- Optimized C codebases for increased concurrency and throughput
AI Engineer / Python Developer
Designed AI algorithms integrated with Apache Spark for large-scale data processing. Developed predictive models using Apache Hadoop and Hive, enhancing data analytics capabilities. Implemented real-time data ingestion pipelines with Apache Kafka for seamless data flow.
- Optimized Apache Impala queries for faster data retrieval
- Led Databricks projects for big data transformations
- Deployed scalable AI models in cloud environments
Software Engineer, Systems/Infra
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