Emna Amor is a Senior Data Engineer based in Berlin with nine years of experience building production-ready data platforms and ML-enabled systems. Transitioning from machine learning roles into data engineering, she combines deep expertise in model development with strong skills in designing scalable ETL/ELT pipelines and data architectures for sequential, unstructured, and structured data. Her work focuses on enabling analytics and ML teams with clean, well-modeled data, leveraging modern cloud and big data technologies to deliver reliable, high-performance solutions. At Vay and prior companies like Statice and Daimler, she has repeatedly moved projects from prototyping to robust production deployments. She also complements her engineering practice with formal deep learning training (Udacity Nanodegree) and public writing on ML topics, reflecting a blend of hands-on implementation and thought leadership.
9 years of coding experience
13 years of employment as a software developer
Diplôme d'ingénieur Informatique, Diplôme d'ingénieur Informatique at Ecole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT
Deep Learning Nanodegree Program Deep Learning, Deep Learning Nanodegree Program Deep Learning at Udacity
Contributions:80 commits, 18 pushes, 2 tags in 26 days
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