Hossam Elsafty is a data scientist and engineer with eight years of experience building enterprise-scale big data ETL/ELT solutions across Hadoop and cloud ecosystems. He has hands-on expertise developing Scala and Java Spark applications, StreamSets pipelines, Airflow DAGs, and operating Cloudera-managed clusters, having delivered projects for government and research institutions. At Fraunhofer IAIS he bridged research and production by optimizing industrial scheduling heuristics and visualizing system flows, blending operations research with pragmatic engineering. Based in Bonn, he combines academic rigor from a master's in computer science with a track record of deploying data lakes and real-world pipelines, and he’s comfortable moving between low-level cluster administration and high-level algorithm design. An attention to operational detail—partitioning strategies, query optimization, and cluster configuration—distinguishes his work and speeds time-to-production.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer and Systems Engineering, Very Good with honors, Bachelor's degree, Computer and Systems Engineering, Very Good with honors at Alexandria University
Master's degree, Computer Science, Master's degree, Computer Science at The University of Bonn
Contributions:6 PRs, 3 pushes, 8 branches in 1 day
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