Summary
Victor Poglioni is a Data Engineer with nine years of experience designing and operating large-scale data platforms across e-commerce and fintech domains in Brazil. He specializes in PySpark, Airflow, AWS/GCP, Kubernetes and building low-latency data APIs, having driven platform evolution at Mercado Livre and created central pipeline frameworks at Trybe. At Kharon he combined LLMs and traditional big data tools to build document extraction libraries and a large sanctions knowledge graph exported to Neo4j, showcasing a blend of cutting-edge AI and graph engineering. Currently at Ohalo, he continues to focus on scalable pipelines and data integrations, with hands-on experience deploying CI/CD and production Spark workloads. Trained as a computer engineer, he brings a practical research mindset (early work on anisotropic diffusion filters) to solving complex data modeling and extraction problems.
9 years of coding experience
6 years of employment as a software developer
University Graduate, Bachelor of Science and Technology, University Graduate, Bachelor of Science and Technology at Unifesp - Federal University of São Paulo