About
Data engineering leader specializing in high-throughput data platforms for autonomous vehicles. I architect and scale systems that process massive sensor data streams, enabling machine learning teams to train safer self-driving models. Passionate about building reliable, secure infrastructure that turns petabytes of raw data into actionable insights.
Currently at Robert Bosch: Leading data infrastructure for Automated Driving,
processing sensor data from test vehicles across three continents.
180+ PB
Automotive Data Processed
6+
Years in Tech
3
Continents Coordinated
Technical Expertise
Data Engineering
Cloud & Infrastructure
Backend & APIs
DevOps & Security
Experience
Lead Data Engineer - Automated Driving
Robert Bosch KFT- Architected and scaled data pipelines processing 180+ petabytes of automotive sensor data annually (LiDAR, camera, radar) for autonomous vehicle development
- Led cloud migration from on-premise systems to Azure, establishing hybrid infrastructure supporting global engineering teams
- Built metadata discovery systems enabling data scientists to efficiently locate and utilize training datasets across petabyte-scale storage
- Designed real-time dashboards and visualization tools driving data-informed decisions across the automated driving division
- Established data governance frameworks and security compliance protocols for safety-critical automotive systems
- Mentored junior engineers and led technical workshops, building team capabilities in modern data engineering practices
- Coordinated cross-functional development with teams spanning Europe, Asia, and North America
Key Impact: Processing pipeline handles 1.5TB per 30-second driving scene, enabling ML teams to train on 1000+ hours of real-world driving data this year alone.
Senior Software Developer
Ericsson Hungary KFT- Developed high-availability SIP-TLS microservices using Kubernetes and Python for telecom infrastructure
- Implemented centralized observability stack (ELK, Prometheus, Grafana) providing real-time visibility across distributed services
- Automated deployment pipelines with CI/CD, reducing release cycles and improving deployment reliability
- Conducted security audits and vulnerability remediation, strengthening system resilience
- Contributed to architecture decisions and feature design for next-generation telecom platforms
Senior Automation Engineer
Ericsson Hungary KFT- Built full-stack test scheduling platform (Flask + React) orchestrating automated test execution at scale
- Pioneered automated testing frameworks that significantly reduced manual QA effort and accelerated release velocity
- Trained QA engineering team on automation best practices, elevating team capabilities
Junior Software Developer
MTT Digital KFT- Developed features for Hungary's leading real estate platform serving millions of users
- Optimized site performance and user experience through targeted technical improvements
- Participated in agile development practices including code reviews and sprint planning
Education
Business Informatics
Milton Friedman UniversityPre-School Education
Eötvös Loránd University (ELTE)Let's Connect
Open to senior data engineering opportunities worldwide.
Currently based in Budapest, eager to relocate for the right role.