Summary
Oleksandr Avlesi is a Data Engineer and technical leader with 11 years of experience designing and operationalizing large-scale data and ML platforms across banking, pharmaceutical, and media industries. He combines hands-on expertise in cloud-native stacks (GCP, AWS, Azure, Databricks), MLOps (Vertex AI, Kubeflow, Argo), and data engineering (BigQuery, Spark, Kafka) with proven delivery of high-impact projects such as rapid royalties processing and Generative AI/RAG deployments. As a bridge between business and engineering, he has led cross-functional teams through cloud migrations and productionalization of ML models, prioritizing scalable, performant pipelines. He also brings entrepreneurial perspective from co-founding a targeted marketing startup, and early research experience building assistive tech, showing a long-standing mix of product focus and technical depth.
11 years of coding experience
9 years of employment as a software developer
Engineer’s Degree of IMT Atlantique (ex. Ecole des Mines de Nantes), Information Systems Engineering, Engineer’s Degree of IMT Atlantique (ex. Ecole des Mines de Nantes), Information Systems Engineering at IMT Atlantique
Master's degree, Computer Science, Master's degree, Computer Science at Taras Shevchenko National University of Kyiv
English, French, Russian, Ukrainian, Spanish