Career Profile
Hi there! I’m Gleb — a cloud and platform architect in the Netherlands, currently leading data engineering and analytics at a European clearing house 🚀
Over 15+ years I’ve designed and run enterprise-grade distributed systems — event-driven platforms, large-scale data and retrieval pipelines, and the cloud-native infrastructure underneath them — across finance, intellectual property and manufacturing.
Core Competencies
Cloud & Infrastructure
Back-End Engineering
Leadership & Customer Engagement
Experiences
Tech lead for the data engineering and analytics platform (Python, Airflow, Spark, Camunda), leading 3 engineers across real-time pricing, regulatory reporting, risk and client analytics
- Delivered the first Camunda-Airflow integration, giving the business a consolidated view of intraday operational state where no integration previously existed
- Built Airflow DAG reporting into Grafana with alerting, establishing operational visibility across the platform’s data pipelines
- Drove adoption of AI-assisted development (Claude Code) across the engineering group, establishing usage practice and guardrails for a regulated financial environment
Tech lead for the mission-critical post-trade clearing and margin API platform at one of Europe’s largest cash-equities clearing houses, engineered for 200k trades/day with 100 tps burst capacity
- Designed the platform’s Kubernetes and GitOps architecture (ArgoCD, Terraform) and led migration of 30+ Java/Spring microservices onto it; modernization strategy signed off at CTO level
- Owned end-to-end delivery of 25+ production releases with zero rollbacks and no P1/P2 incidents, aligning business, compliance, operations and security on each
- Set the observability standard adopted across the platform, cutting MTTR from hours to minutes
- Raised deployment frequency from monthly to daily
Global manufacturing IoT data platform for a Schuberg Philis customer - 100 signals/sec from ~900 production lines across 100 sites, with 1,200+ edge deployments
- Built heartbeat detection for sensor liveness and automated new-site rollout on top of it, cutting site onboarding from days to hours
- Delivered the Data Platform API (Go, AWS) for shop-floor workers and third-party vendors globally
Tech lead for the Data Enrichment Platform, leading 3 engineers - distributed annotation pipelines over a 110M+ document corpus, peaking at ~1,000 annotations/sec
- Replaced a licensed KNIME deployment with an in-house platform (Java, Kafka, Spring Cloud Dataflow, Kubernetes), ending the licence dependency; still in production after my departure
- Established the platform’s architecture, CI/CD and alerting; later enrichments were built by other teams and vendors, making it the de facto data platform standard
Java backend engineer on Ansera, EPO’s prior-art patent search over a 110M+ document corpus
- Implemented the domain-specific query language - ANTLR grammar compiled to Lucene ASTs - plus find-similar, figure-similarity and chemical structure search
Led 3 engineers across 10+ releases of Fujitsu PRIMERGY datacenter and VMware management tools
- Implemented SNMP, IPMI and CIM integrations in Java with HMAC-SHA1 and AES-CBC-128 crypto







