Szabolcs Szentes is a data engineer with 11 years of hands-on experience across data, full-stack and blockchain engineering, now focused on decentralized applications and payment relaying systems. He has built large-scale data platforms and pipelines using Spark, Kafka, BigQuery and GCP, migrated legacy royalty calculations to distributed Spark clusters, and delivered Discord analytics pipelines for web3 communities. Szabolcs combines low-level blockchain integration and frontend work with production data engineering—recently contributing to Gelato’s relay and payment ecosystem and to liquid staking DApps. His background spans enterprise banking and telecom projects through to freelance game and NFT initiatives, giving him a rare mix of compliance-minded delivery and rapid prototyping. A certified Scrum Master with an MSc in Computer Science, he also publishes projects and write-ups on decentralized tech at his personal site.
11 years of coding experience
16 years of employment as a software developer
Project Manager Information Management Leadership Program, Project Manager Information Management Leadership Program at GE Consumer Finance
Computer Software Engineering, Computer Software Engineering at Online courses: Coursera, Mongo University, Code Academy, Code School
Certified SCRUM Master, Certified SCRUM Master at SCRUM Alliance
Master of Science (MSc) Computer Science, Master of Science (MSc) Computer Science at Budapest University of Technology and Economics
Erasmus scholarship Computer Software Engineering, Erasmus scholarship Computer Software Engineering at Ecoles des Mines de Nantes
Web3 Onboarding As a Service for Discord communities
Contributions:33 PRs, 43 pushes, 21 branches in 1 year 11 months
onboardingdiscordweb3communitiesas-a-service
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