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Data Engineer at Spotify
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Università del Salento
Ph.D., fisica
January 1, 2009 – January 1, 2012
Università del Salento
Laurea specialistica, fisica
January 1, 2003 – January 1, 2008
Spotify
Data Engineer
June 1, 2018 – Present
London Area, United Kingdom
iotec
Senior Software Engineer (Machine learning)
April 1, 2014 – May 1, 2018
Greater Plymouth Area
LAPTh
Postdoc fellow
February 1, 2013 – March 1, 2014
Annecy-le-Vieux
Aristotle University of Thessaloniki
Early Stage Researcher
September 1, 2011 – June 1, 2012
Thessaloniki
Wireshark Essential Training
June 24, 2026 – Present
The Bits and Bytes of Computer Networking
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academic research and industry roles (Spotify, iotec). The transition from physics research to data engineering and machine learning suggests adaptability. However, the target role is 'Data Analyst' while recent experience is 'Data Engineer' and 'Senior Software Engineer (Machine learning)', which might indicate a slight mismatch in day-to-day responsibilities and focus. The lack of project details makes it difficult to assess alignment with specific company culture or collaborative styles.
Soft Skills & Operational Fit
The candidate's experience includes roles requiring communication and code review, suggesting an ability to collaborate and maintain quality. However, specific examples or detailed descriptions of soft skills are limited in the provided data.