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DAVID BAKONYVARI

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Senior Backend Engineer
Józefów, Masovian Voivodeship, Poland

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Jobs verified_user 0% verified
  • Amazon Web Services (AWS)
    Senior Backend Engineer
    Amazon Web Services (AWS)
    Jul 2022 - Current (4 years)
    As a Senior Backend Engineer, I have been instrumental in redesigning core backend microservices for our internal cloud orchestration platform using Java, Spring Boot, and REST APIs, which improved request throughput by optimizing service decomposition and reducing cross-service latency across distributed AWS environments. I implemented event-driven processing pipelines utilizing Kafka, SNS/SQS, and Java Spring Boot, enabling asynchronous workload handling that significantly reduced peak-time system congestion and enhanced system reliability under high traffic conditions. My efforts in optimizing database access layers with JPA/Hibernate, PostgreSQL, and Redis caching led to a marked reduction in query execution time and improved API respon
  • L
    Senior Data Engineer
    Lunarbyte
    May 2020 - Apr 2022 (2 years)
    • Built large-scale data processing pipelines using Python, Apache Kafka, and PostgreSQL, enabling near real-time analytics ingestion for business intelligence dashboards with improved processing reliability and throughput. • Designed ETL workflows using Python, Pandas, and Airflow-style orchestration patterns, reducing manual data preparation effort and improving data consistency across multiple downstream services. • Implemented caching and optimization strategies using Redis and SQL tuning, significantly reducing query latency for reporting services and improving dashboard responsiveness. • Developed backend APIs using FastAPI and Python to expose processed datasets to internal services, improving data accessibility and integration
  • Globant
    Full Stack Engineer
    Globant
    Feb 2017 - Apr 2020 (3 years 3 months)
    As a Full Stack Engineer, I developed backend services using Node.js, JavaScript, and REST APIs for enterprise client applications, significantly improving data synchronization between frontend systems and backend microservices. I implemented database-driven features using MySQL and MongoDB, optimizing schema design and query execution paths to support scalable application growth across multiple product modules. Additionally, I built authentication and authorization systems using JWT and secure API design patterns, enhancing system security and reducing unauthorized access risks across distributed services. I integrated CI/CD pipelines using Jenkins and Docker, which improved deployment consistency and reduced release cycle time for product
  • Netguru
    Python and Go Engineer
    Netguru
    Sep 2015 - Dec 2016 (1 year 4 months)
    • Developed backend microservices using Python, Go, and Flask, enabling lightweight API services for early-stage product architectures with focus on scalability and maintainability. • Implemented high-performance data processing utilities using Go and concurrency patterns, improving system throughput and reducing processing time for backend workloads. • Built RESTful APIs using Flask and Python, supporting frontend integration and third-party service communication for multiple client projects. • Optimized relational database interactions using MySQL and query tuning techniques, improving backend response times and system efficiency under growing traffic loads.
Education verified_user 0% verified
  • Maynooth University
    Bachelor's Degree, Computer Science
    Maynooth University
    Jan 2011 - Jan 2015 (4 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • A
    Cloud-Native Microservices Backend Platform
    AWS-Based Architecture
    Jan 2024 - Current (2 years 6 months)
    • Designed a distributed backend platform using Java, Spring Boot, Kafka, and Redis, enabling scalable service-to-service communication and reducing latency for high-throughput enterprise workloads.
  • S
    Real-Time Event Processing System
    Streaming Data Platform
    Jan 2021 - Current (5 years 6 months)
    • Built a real-time processing system using Python, Kafka, and PostgreSQL, enabling near real-time analytics and improving data freshness for business reporting systems by reducing batch delay cycles.