Description

Enterprise Architect and hands-on engineering leader with 15+ years delivering cloud, data, streaming, payments, and ML platforms across media, fintech, banking, energy, healthcare, and capital markets. Strong background in Scala, Java, Python, AWS, GCP, Kafka, Spark, Apache Beam, Kubernetes, and Terraform. Delivered 30% AWS cost reduction, 200K messages/second event pipelines, zero-downtime migrations, real-time analytics platforms, and production systems used by global enterprises while leading teams of up to 10 engineers and data scientists.

Industry field of expertise

Languages

English
Native or bilingual
Hungarian
Native or bilingual

Workplace preferences

Can work on-site

Brussels (up to 50km)

SiriusXM
Enterprise Architect
February 2024 - Today (2 years and 6 months)
New York, NY, USA
• • Reduced annual AWS spend by 30% (~$400k / ~€370k) through DynamoDB rightsizing, ECS workload restructuring and Savings Plan adoption.
• • Designed Scala 3 pipelines on AWS Kinesis, Lambda and DynamoDB processing 200k messages/second using cats effect and fs2; ingested into Databricks for analytics and experimentation.
• • Migrated legacy Java 17 Spring Boot services to a functional stack with zero downtime.
• • Led a 4-person DevOps squad implementing automated disaster-recovery drills for DynamoDB and Aurora.
Java Data science software architect
Spotify
Solution Architect
October 2022 - January 2024 (1 year and 3 months)
Miami, FL, USA
• • Built Apache Beam (Scio) and BigQuery pipelines on the commerce platform, delivering real-time checkout analytics for 50M events/day.
• • Implemented event-sourced accounting and billing microservices (Kotlin/Scala, Kafka, RDS) supporting new subscription tiers.
• • Exposed insights via Looker dashboards, shrinking finance-report SLA from 8 hours to 15 minutes.
PPRO,
Enterprise Architect
September 2021 - September 2022 (1 year)
London, UK
• • Re-engineered payment routing and fee-calculation stack for multi-cloud (AWS/GCP); achieved 10× throughput increase.
• • Designed GraphQL and EventBridge APIs powering a debt-collection customer portal; reduced call-centre workload by 25%.
• • Coached 6 engineers on Kafka Streams and Terraform, accelerating delivery cadence from monthly to weekly releases.