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Data Systems Scala Developers in Poland

Specialized in building data pipelines using Scala and Java for large-scale ETL processes. Designed graph database solutions using Cypher and CQL to improve data retrieval efficiency.

• Automated data processing workflows with Groovy
• Enhanced data integration using Python scripts
• Implemented graph algorithms for advanced data insights

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

Architected large-scale cloud platforms for e-commerce and fintech sectors. Spearheaded the development of a multi-language API gateway supporting cross-platform integrations. Developed a high-throughput message broker using Rust for IoT networks.

• Created a real-time analytics engine with Kotlin and Scala
• Designed a decentralized identity management system
• Optimized microservices for multi-region deployments

Specializes in designing and implementing distributed systems architecture, leveraging domain-driven design principles to enhance system modularity and scalability. Developed high-performance real-time data processing pipelines in Scala and Rust, optimizing throughput and reducing latency. Extensive experience in building and maintaining fault-tolerant microservices for large-scale applications.

• Implemented event-sourcing in a multi-node distributed system
• Optimized a Rust-based data ingestion system for 10x throughput
• Designed a Python-based monitoring tool for distributed system health checks
• Led migration of legacy systems to a microservices architecture

Built high-performance, fault-tolerant systems using functional programming principles. Led the design of streaming data platforms using Kafka and ZIO for real-time processing. Developed scalable solutions for complex data transformation pipelines.

• Optimized functional algorithms for large-scale data processing
• Integrated Cats Effect for enhanced concurrency control
• Developed custom operators for stream processing with Kafka

Engineered cloud-native applications on AWS with a focus on scalability and resilience. Developed robust CI/CD pipelines for seamless deployments across distributed systems. Contributed to full-stack development using Scala and Angular.

• Built cloud-native applications on AWS
• Developed CI/CD pipelines for distributed systems
• Contributed to full-stack Scala applications

Developed distributed systems using Akka and Pekko for cloud-based applications. Designed and implemented microservices on AWS infrastructure. Specialized in reactive programming with Scala and Cats Effects.

• Developed systems with Akka and Pekko
• Implemented microservices on AWS
• Specialized in reactive programming

Expert in functional programming paradigms using Cats Effect and ZIO. Developed high-performance systems using FS2 and Akka HTTP for real-time data processing. Specialized in building resilient and scalable web services.

• Developed with Cats Effect and ZIO
• Built systems with FS2 and Akka HTTP
• Specialized in real-time data processing

Developed a distributed messaging platform handling millions of transactions daily, optimizing throughput and latency. Architected a real-time data processing system for financial markets, integrating complex event processing and analytics. Spearheaded the design of a scalable microservices architecture for a large-scale e-commerce platform.

• Implemented a high-performance XML parser for legacy systems.
• Led migration of monolithic systems to microservices using Java.
• Optimized JavaScript front-end for a responsive web application.
• Designed a CSS framework for consistent UI across enterprise apps.