Sami Badawi is a Senior Data Engineer based in Copenhagen with nine years of hands-on experience building big data pipelines, streaming systems, and MLOps for domains ranging from insurance claims automation to travel mapping and finance. A strong mathematician and scientific programmer, he is fluent in Scala, Python, Java and C++ and routinely authors production Spark, Flink and Databricks jobs that run across multi-cloud environments. His background spans NLP, computer vision, GIS, and risk systems—bringing research-grade techniques (e.g., large-vocabulary parsing, computational geometry and predictive analytics) into reliable production services. Sami has a track record of simplifying cross-cloud complexity so identical code runs on AWS and Azure, and of operationalizing models end-to-end with Docker, Kubernetes, Airflow and Terraform. He also contributes to the technical community as a tech blogger and brings an uncommon blend of low-level numerical programming and high-level pipeline architecture to every project.
9 years of coding experience
20 years of employment as a software developer
Master of Science - MS, Mathematics and Computer Science, Master of Science - MS, Mathematics and Computer Science at Københavns Universitet - University of Copenhagen
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