Languages: Rust, Python, Java, TypeScript, WASM

Distributed Systems & Data: Kafka, Pulsar, Flink, Spark, ArangoDB, Redis, PostgreSQL, Parquet, Pub/Sub

Infrastructure: AWS, GCP, Kubernetes, Docker, CI/CD, OpenTelemetry, Prometheus

Backend & Ops: High-throughput REST/gRPC/GraphQL APIs, caching/batching, latency optimization

Leadership: Architecture design, platform engineering, cross-team collaboration, mentoring

Key Contributions:

• Led a multi-region data replication system handling 5M+ messages/sec, ensuring consistency at scale.

• Built and deployed a Rust-based Function-as-a-Service platform supporting Rust/JavaScript functions, CLI tools, and config management—boosting developer productivity and extensibility.

• Engineered multi-language SDKs (JavaScript/TypeScript), CLI tools, and sandbox environments to reduce onboarding time by 50%—enhancing developer productivity and satisfaction.

• Head LLM-driven observability tooling using LangChain, automating metric analysis and performance tuning in production environments.

• Designed high-throughput REST/gRPC APIs delivering real-time data globally with sub-100ms latency.

• Led design of distributed, transactional payment workflows using ArangoQL and CEP, ensuring reliability, consistency, and compliance across multi-region deployments.

• Integrated OpenTelemetry + Prometheus for real-time observability and alerts; 99.99% uptime.

As a Senior Data Engineer, I am in charge of developing, designing, testing, and tuning real-time applications based on Flink and Kafka. It Handles 6M messages per day and stores 200 TB data on S3 service.

Technologies stack: Scala/SBT, Java/Maven, Kubernetes/Docker, Flink/Kafka, S3, AKKA, Streaming/Actors/HTTP, ScalaTest/JUnit, Protobuf/Avro/Parquet, GitLab.

Key Contributions:

• In charge of refactoring an application to Scala to making support handling 20M messages per hour. Reduced the computation by 30%.

• Accelerated performance of the core application by 150% in implementing asynchronous and parallelized operations.

• Increased service availability to 95%-99% by reducing operational issues and improving the quality.

• Executed design and implementation of automation code deployment.

As a Senior Scala Developer, I was in charge of developing and designing applications by using the best functional programming patterns.

Technologies stack: Scala/SBT, AKKA Streaming/Actors/HTTP, ScalaTest, Java Futures, Flink Streaming, Apache Spark, Apache Kafka, AWS, Hadoop, YAML, Protobuf/Avro/Parquet, GitLab.

Key Contributions:

• Headed design and implementation of Spark Connector that gives the ability to work with BigData operations in Spark.

• Implemented distributed Hadoop FS interface for increasing the capacity of the company by 100%.

• In charge of developing Flink Connector. It increased performance with real-time streaming data by 2 times.

• Increased performance of Spark Connector on 4 times for big files.

• Got hands-on experience in Python by doing metrics.

I was responsible for developing, designing, and upgrading RestAPI and web UI features.

Technologies stack: Java SE, Spring MVC/Data/Security/JPA, AWS(ElasticSearch) Jenkins, JDBC, Servlets, JUnit, Maven, React, Bootstrap, LESS, Scala

Achievements:

• Advanced security by fixing vulnerabilities in web service. It was based on OWASP methodology

• Increased automation testing on 30% coverage.

• Migrated service to new technologies: React, LESS, Spring

I headed developing frontend service for ETL processes and managing internal bank documents.

Technologies stack: ActionScript, Java SE, JS, Jquery, Angular JS, Jenkins, JDBC, JSP, Servlets, JUnit, Maven, Spring, Hibernate, GWT.

Achievements:

• Implemented flexible, modular, and testable architecture for UI applications.

• Improved usability by adding localization, custom UI components, authorization.

• Increased test coverage by 100% by adding automation test tools.