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Data Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UCLA
Cognitive Science and Applied Mathematics
January 1, 2014 – January 1, 2018
ALSO.
Data Engineer
January 1, 2026 – Present
Mill
Data Engineer
September 1, 2022 – January 1, 2026
AppDynamics
Software Engineer
August 1, 2018 – August 1, 2022
Spotify
Backend and Data Engineering intern
June 1, 2017 – August 1, 2017
UCLA Consciousness and Metacognition lab
Research Assistant
July 1, 2015 – July 1, 2017
Los Angeles
Naehas
Software Engineering Intern
June 1, 2015 – September 1, 2015
Palo Alto
Art Time Studios
Intern
August 1, 2011 – May 1, 2013
Cultural Fit Analysis
The candidate has a diverse background, moving from software engineering to data engineering, and has experience in both large tech companies (Spotify, AppDynamics) and potentially smaller ones (Mill, ALSO.). The academic background in Cognitive Science and Applied Mathematics, combined with research experience, suggests an analytical and curious mindset. However, the lack of detailed project descriptions makes it challenging to fully assess cultural fit regarding innovation, teamwork, or specific company values.
Soft Skills & Operational Fit
The candidate's experience as a Research Assistant and intern roles suggest an ability to work in structured environments and contribute to projects. The description for the Research Assistant role indicates analytical thinking and problem-solving. However, without specific project descriptions for the Data Engineer roles, it's difficult to assess collaboration, leadership, or specific operational fit beyond the technical role alignment.