Michele Vascellari is a Senior Data Engineer with a decade of experience building real-time, cloud-native analytics platforms—most recently focused on sports betting and hedge fund use cases. He combines strong Python, Pandas and SQL expertise with production-grade streaming architectures (Kafka, Debezium, Iceberg) and AWS infrastructure automation to deliver reliable data lakes and low-latency KPIs. His background as a PhD-level researcher in thermo-fluid dynamics informs a methodical, simulation-rooted approach to modeling and rigorous data validation. Michele has a track record of turning complex scientific models into maintainable software (including pyFLUT and CFD submodels) and shipping ML tracking and deployment pipelines for stakeholders. Based in London, he blends academic depth with pragmatic engineering, often surfacing subtle data-consistency and model-calibration issues before they affect production.
10 years of coding experience
20 years of employment as a software developer
Ph.D Mechanical Engineering, Ph.D Mechanical Engineering at Università degli Studi di Cagliari
60, 60 at Liceo Scientifico Michelangelo Cagliari
Post Graduate Diplome Fluid Dynamics Turbomachinery, Post Graduate Diplome Fluid Dynamics Turbomachinery at Von Karman Institute for Fluid Dynamics
Contributions:4 PRs, 4 pushes, 5 branches in 2 years 7 months
pythonplotdualmatplotlibplotting
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