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Scala Developers in Germany

Decomposed a high-traffic monolith into five standalone services using purely functional Scala, improving deployment frequency while maintaining resilience and test coverage. Delivers backend systems through production operations, including releases, on-call ownership, and postmortem-driven reliability work.

• Reduced incident recovery time from 1.4 hours to 15 minutes
• HTTP APIs built with http4s, Tapir, Circe, and protobuf
• Database access using doobie across PostgreSQL and Cassandra
• Kafka-based event-driven integrations with Redis caching

Contributes upstream to etcd and Kubernetes while delivering distributed storage and backup capabilities for cloud-native platforms. Designed Go-based operators and infrastructure integrations spanning database backups, CSI storage migration, Prometheus-to-Kafka export, and AI data-processing systems.

• Developed InfluxDB backups to remote object storage
• Implemented selectable etcd database sizing
• Delivered automated etcd backups without configuration
• Built rail IoT forecasting and arrival-time models

Developed comprehensive front-end and back-end solutions using Scala and TypeScript. Led JavaScript frameworks integration to streamline user interface development.

• Developed front-end and back-end solutions
• Integrated JavaScript frameworks
• Streamlined user interface development

Contributes upstream to etcd and Kubernetes while delivering storage, backup, and recovery capabilities for container platforms, including a Kubernetes operator for InfluxDB backups to cloud object storage. Architected an AWS IoT data platform for time-series analytics and rail-operations forecasting.

• Delivered selectable etcd database sizing for OpenShift
• Implemented Azure Disk CSI migration and upstream KEP
• Exported Prometheus data to Kafka from OpenShift
• Developed pipelines with Spark and Apache Flink

Designed an ad-event ingestion platform with Kafka storage and ClickHouse-backed analytics, then consolidated approximately 30 data sources for 50 customers through a medallion-architecture reporting service. Built Airflow pipelines with retry and back-off handling that reduced manual interventions from several weekly occurrences to approximately one monthly occurrence.

• Dask jobs for analytical data loading
• Production LLM feature using OpenAI API
• Self-service ad-configuration tooling
• End-to-end AdTech sales systems

Architected distributed systems for real-time financial data processing, achieving sub-millisecond latency. Designed scalable microservices architecture for cloud-native applications, integrating Rust and Scala for high-performance computing. Spearheaded development of a domain-specific language for automated financial reporting, leveraging F# for functional programming paradigms.

• Implemented event-driven architecture for IoT data ingestion.
• Optimized .NET Core applications for cloud environments.
• Developed consensus algorithms for blockchain-based systems.

Led the development of a cloud-native platform using AWS and Rust for high-throughput data processing. Designed microservices architecture in Scala and Golang to handle millions of transactions daily.

• Built cloud-native platforms on AWS
• Designed microservices with Scala and Golang
• Handled millions of daily transactions

Specializes in designing scalable distributed systems for real-time data processing. Led the development of a microservices architecture handling millions of transactions per second. Expert in optimizing JVM performance for latency-sensitive applications.

• Architected event-driven systems for financial services
• Implemented high-throughput APIs with Scala
• Optimized JVM for sub-millisecond response times

Pioneered scalable machine learning algorithms in C# and Scala for large-scale predictive analytics. Engineered a distributed computing framework to enhance computational efficiency in research simulations.

• Pioneered scalable machine learning algorithms
• Engineered distributed computing frameworks
• Enhanced computational efficiency in simulations

Developed a high-performance distributed data processing system using Scala and Rust, optimizing for low-latency operations in financial analytics. Engineered a real-time streaming platform integrating React and Python for dynamic data visualization in IoT applications.

• Implemented microservices architecture with Java for scalable web applications
• Built a custom data serialization protocol for cross-platform data exchange
• Enhanced a legacy JavaScript codebase to improve load times by 40%

Engineered a scalable event-driven architecture for an e-commerce application using Akka and ZIO, enhancing system resilience and fault tolerance. Developed backend services in Scala to support high-volume transaction processing, ensuring data consistency and reliability. Contributed to the design of a domain-specific language for internal tools, improving developer productivity.

• Integrated NoSQL databases with existing Java applications
• Built reactive systems using Play Framework and WebSockets
• Enhanced performance of JVM-based applications with Kotlin
• Conducted load testing, achieving 99.9% uptime during peak

Architected large-scale data pipelines using Apache Spark and Scala, optimizing for real-time analytics in the e-commerce domain. Spearheaded the migration of data infrastructure to Databricks, enhancing processing speed and reliability. Developed a custom data validation framework in Python, ensuring data integrity across distributed systems.

• Implemented Rust-based data transformation tools for performance gains
• Designed SQL-based ETL workflows for complex data models
• Automated data quality checks using custom-built Python scripts

Led development of cross-platform applications, leveraging Scala and Java for backend services. Spearheaded the migration of legacy systems to modern microservices architectures.

• Integrated Node.js services with existing Java infrastructures
• Automated deployment pipelines using TypeScript and Python
• Enhanced scalability with Kotlin-based microservices

Designed and implemented a high-performance distributed system for real-time financial data processing, handling millions of transactions per second. Developed a fault-tolerant, scalable microservices architecture for a global e-commerce platform, optimizing for low-latency and high availability. Led the migration of a monolithic application to a cloud-native architecture, significantly improving deployment speed and resource efficiency.

• Expert in concurrency models and parallel processing techniques
• Architected a custom DSL for financial analytics
• Implemented a dynamic load-balancing algorithm for distributed systems
• Optimized JVM-based applications for memory and CPU efficiency