Rodrigo Zenun is a Staff Data Analytics Engineer and founder with a PhD in Computer Science and over 15 years of international experience building cloud-first data platforms for companies like John Deere, Experian and Accenture. He designs and implements end-to-end analytics and NLP pipelines using Python, AWS and Databricks, combining production-grade engineering with research rigor—leveraging services such as Transcribe, Comprehend and OpenAI for large-scale conversation analysis while embedding PII redaction for compliance. A certified PMP and AWS Solutions Architect, he has repeatedly launched data lakes and cost-effective pipelines from scratch and scaled analytics for products like ExpertConnect and AgriSync. Equally comfortable leading teams or shipping code as a remote consultant, Rodrigo pairs academic accolades and teaching experience with entrepreneurial drive through his company Globalyze. Not obvious from his title: he started in infrastructure and mainframes, which informs a pragmatic, reliability-first approach to modern cloud architectures.
10 years of coding experience
7 years of employment as a software developer
MSc., Network and e-business centred computing, MSc., Network and e-business centred computing at Aristoteleion Panepistimion Thessalonikis
Charles III University of Madrid (Universidad Carlos III de Madrid)
MSc., Network and e-business centred computing, MSc., Network and e-business centred computing at University of Reading
Bachelor of Engineering - BE, Electrical Engineering, Bachelor of Engineering - BE, Electrical Engineering at Universidade Federal de Itajubá
IT applied to business, IT applied to business at Faculdades Associadas de São Paulo
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