Feras Shamasna
Lead Data Engineer
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolFeras Shamasna is a Lead Data Engineer based in Munich with nine years of experience building cloud-native, real-time data platforms for energy, industrial IoT, and health monitoring. He combines a computer engineering background and ongoing master's studies in data science with hands-on expertise in streaming (Flink, Kafka), cloud services (AWS, Aurora, Snowflake), and orchestration (Kubernetes), having led teams to deliver congestion detection and scalable microservice architectures at E.ON. His career bridges low-level firmware and sensor integration for wearables through to designing DataOps/MLOps stacks (Airflow, MLflow, Evidently) and monitoring infrastructure (Prometheus, Grafana), reflecting a rare full-stack data-to-edge perspective. A strong emphasis on security and high-availability—rooted in early network engineering and Cisco/Red Hat training—drives his work on robust production systems. He’s particularly passionate about innovating precise, secure health-monitoring solutions and translating academic time-series modeling research into operational anomaly detection in the field.
9 years of coding experience
8 years of employment as a software developer
Master's degree Master in Data Science, Master's degree Master in Data Science at Eötvös Loránd UniversityMaster's degree computer science engineering , Master's degree computer science engineering at Pannon EgyetemBachelor of Engineering - BE Computer Systems Engineering , Bachelor of Engineering - BE Computer Systems Engineering at Birzeit University
English, Arabic, German
Github Skills (7)
perl5
postgresql-database5
administration4
database4
python4
sql3
postgresql3
Programming languages (1)
Github contributions (5)
FShamasneh/Functional-Programming
May 2018 - May 2018
Contributions:12 commits, 8 pushes, 1 branch in 11 days
FShamasneh/deepLearningHackathon
Jun 2019 - Jun 2019
Contributions:10 commits, 7 pushes, 1 branch in 13 days
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