At Allegro, I develop a Customer & Seller Master Data Platform with Java 17, Spring Boot 3, Kafka, and GraphDB. It consolidates identity, profile, payment-account, and relationship data for real-time data products.
I tune high-throughput Java services and Kafka Streams workflows, cutting p99 API latency by 35% and cross-system data inconsistency by 42%. I also model connected entities with RDF/SPARQL and contribute Scala/Spark Structured Streaming enrichment jobs for real-time graph updates across 20M+ active entities.
At EPAM Systems, I built a Financial Crime & Master Data Platform for a banking client. Its streaming architecture sustained 120K+ events per second during compliance peaks, and MDM matching and survivorship work reduced reconciliation defects by 38%.
Earlier, at Netguru, I developed Java backend services for real-time commerce and improved p95 response time from 240 ms to 155 ms during load tests. Across these roles, I’ve worked on regulated data workflows, production reliability, and containerized platforms.
