Summary
Dan MONUNU is a seasoned Data Engineer with 10 years' experience designing and implementing data platforms and pipelines across large European enterprises, currently building data architectures at Qim Info in Geneva. He has a strong Azure and Talend background, complemented by hands-on work with AWS, Databricks, PySpark, and Synapse, and a track record delivering data hubs and migration projects for clients like Keolis, SNCF, BPCE and Volkswagen Financial Services. Dan combines technical delivery with pre-sales and architecture responsibilities, from designing education-sector platforms to defining data strategies for luxury watchmaking. He has led small cross-functional teams, enforced development standards through code reviews and test automation, and migrated complex NoSQL and CRM datasets into cloud warehouses. A master’s student in MIAGE at Université de Nantes, he pairs academic study with practical enterprise experience and a penchant for pragmatic innovation born in Capgemini’s AI/Data Factory. Notably, he moves comfortably between low-level ETL tooling and cloud-native analytics, making him effective on both migration and greenfield platform initiatives.
10 years of coding experience
6 years of employment as a software developer
Maste MIAGE, Computer Science, Maste MIAGE, Computer Science at Université de Nantes
Bachelor, Computer Science, Bachelor, Computer Science at University of Nantes