Summary
Marcelo Barbieri is a Partner and expert Knowledge Graph Data Engineer with 12 years of experience designing and delivering enterprise RDF/OWL solutions, semantic data platforms, and high-performance data pipelines across finance, telecom and consulting. He combines deep hands-on skill with SPARQL, RDFLib, Stardog, Oxigraph and triplestores with full-stack development using Python/FastAPI and React/TypeScript to build production-grade semantic tooling such as a schema-driven faceted search and SPARQL editor. Marcelo has led EKG implementations, vendor evaluations and engineer training at scale (BT, LGT, Schroders) and brings a pragmatic mix of ontology modelling, query optimisation and operational best practices including CI/CD, testing, and DevOps. Notably he accelerates development with AI-augmented workflows and local LLM deployments, demonstrating a comfort with bleeding-edge tooling as well as rigorous static analysis and testing. His background in traditional data engineering and database architecture gives him a rare ability to bridge legacy warehouses and cutting-edge knowledge graphs into auditable, enterprise-ready solutions.
11 years of coding experience
9 years of employment as a software developer
Microsoft Certification, Microsoft Certification at BFBiz | Business For Business
Post-Graduation Mechatronics (Robotics), Post-Graduation Mechatronics (Robotics) at Instituto Tecnológico de Aeronáutica - ITA
Mechanical Engineering, Mechanical Engineering at Universidade de Taubaté
Portuguese, Italian, Spanish, English