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Scala Developers

Engineered distributed live-streaming systems for casino games using event sourcing with Kafka and Cassandra. Maintains multi-node production platforms with asynchronous Scala services, Kubernetes deployment, and Prometheus/Grafana-based operational monitoring.

• Implemented Akka Cluster Sharding and Akka Persistence
• Built streaming workflows with FS2 and Cats-Effect
• Developed WebSocket and gRPC service integrations
• Maintained GitLab CI/CD pipelines and Helm charts

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

Built Scala data infrastructure for blockchain compliance and analytics, using domain modeling to structure complex transaction data. Developed Kafka-backed microservices for operational workflows, including onboarding, retention, and electric-vehicle services.

• Automated payment reconciliation workflows
• Implemented third-party data exchange service
• Extended self-exclusion across multiple jurisdictions
• Applied ZIO, Cats, and Kafka Streams

Co-founded a startup focusing on distributed systems and microservices with Scala. Designed APIs for scalable data-driven applications. Integrated complex SQL queries for data-intensive backend processes.

• Co-founded startup in distributed systems
• Designed scalable APIs
• Integrated complex SQL queries

Built distributed microservices architecture handling millions of requests per second. Architected real-time data processing pipelines using Akka and Kafka for high-throughput applications. Designed and deployed scalable cloud infrastructure on AWS for global reach applications.

• Implemented event-driven systems with Akka Streams
• Optimized JVM performance for large-scale enterprise applications
• Developed multi-region failover strategies on AWS

Led the development of large-scale distributed systems handling billions of transactions daily. Specialized in building high-performance backend systems for financial analytics platforms. Developed containerized microservices architectures using Docker to enhance scalability and reliability.

• Optimized data processing pipelines for real-time analytics
• Implemented custom Unix-based tools for system monitoring
• Developed complex scripting solutions in Perl for data migration

Specialized in designing distributed systems with a focus on real-time data processing pipelines. Led the development of a high-performance, event-driven architecture leveraging Scala and ZIO for fault tolerance and scalability. Optimized cross-service communication using gRPC for microservices in a large-scale enterprise environment.

• Implemented custom Tapir-based API gateway solutions
• Architected SQL-driven data analytics platforms
• Developed concurrent processing frameworks with Java
• Enhanced system resilience with advanced ZIO constructs

Developed distributed systems for financial trading platforms, optimizing real-time data processing with Scala. Spearheaded the integration of functional programming paradigms into legacy systems, enhancing performance and reliability. Designed and implemented RESTful APIs for high-traffic web services, ensuring seamless data exchange.

• Architected microservices for a large-scale e-commerce application
• Optimized SQL Server queries to improve database performance by 40%
• Led a migration project from ASP.NET to Scala-based architecture
• Implemented machine learning models using Python for predictive analytics

Specializes in building resilient real-time data pipelines using Scala and Spark, deployed on AWS infrastructure. Developed distributed systems leveraging ZIO for fault tolerance and concurrency management in cloud environments.

• Architected real-time data pipelines on AWS
• Implemented distributed systems with ZIO
• Optimized Spark jobs for large-scale data processing

Led the development of a distributed event-driven microservices architecture using Akka and Play. Specialized in high-performance, non-blocking I/O operations and asynchronous data processing. Designed scalable RESTful APIs for large-scale enterprise applications, optimizing database interactions with Slick.

• Implemented custom streaming solutions using Akka Streams
• Optimized performance of real-time data pipelines
• Architected distributed systems for fintech applications

Led the development of a high-performance trading platform using Scala and ZIO, optimizing execution speed and reliability. Spearheaded the migration of legacy systems to modern, functional programming paradigms to enhance maintainability and scalability.

• Integrated Java and Scala codebases for seamless interoperability
• Developed custom concurrency models in ZIO for reactive systems
• Enhanced C++ systems for real-time data processing
• Built complex data transformation pipelines in financial domain

Architected event-driven systems leveraging Event Sourcing and CQRS to ensure data consistency. Pioneered the use of Scala for building scalable, fault-tolerant distributed applications. Designed and implemented microservices to support large-scale fintech platforms.

• Integrated TypeScript for enhanced front-end type safety
• Developed domain-driven design models for enterprise applications
• Implemented Dart-based solutions for cross-platform mobile applications

Builds functional, event-driven services in Scala using Cats Effect, fs2, and Kafka for high-throughput distributed pipelines. Designs cloud-native systems on AWS with type-safe abstractions, event sourcing, and persistence across Cassandra, MongoDB, and relational databases.

• Scala 3 derivation macros and newtypes
• Tagless-final and Kleisli architecture
• Kafka event-sourced persistence
• Kubernetes deployment and CI/CD automation

Designed and implemented distributed backend systems for cloud platforms using Scala and Java. Specialized in optimizing real-time data processing pipelines on AWS and GCP.

• Built scalable cloud services on AWS and GCP
• Optimized real-time data processing pipelines
• Designed distributed backend systems