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Staff 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
I have expertise in bridging between business stakeholders and engineers to build the right systems. I combine that with a passion for teaching and building effective teams, a tendency to delve into the data, and an intuitive understanding of complex, dynamic systems to bring revenue-generating businesses to market.
The Cooper Union for the Advancement of Science and Art
Master of Science (M.S.), Electrical Engineering
January 1, 2013 – January 1, 2014
The Cooper Union for the Advancement of Science and Art
Bachelor of Science (B.S.), Electrical Engineering
January 1, 2010 – January 1, 2014
Spotify
Staff Engineer
March 1, 2022 – Present
Spotify
Senior Backend Engineer
March 1, 2019 – Present
Spotify
Backend Engineer
May 1, 2017 – February 1, 2019
Conductor, Inc.
Software Engineer
October 1, 2016 – May 1, 2017
New York City Metropolitan Area
Yodle
Software Engineer
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Nokia
Software Development Engineer
August 1, 2014 – September 1, 2015
New Providence, NJ
Google Cloud Certified Professional Cloud Developer
June 27, 2026 – Present
Google Cloud Certified Professional Data Engineer
June 27, 2026 – Present
Google Cloud Certified Professional Database Engineer
June 27, 2026 – Present
Google Cloud Certified Professional Cloud Architect
June 27, 2026 – Present
Cultural Fit Analysis
The candidate's long tenure and progression at Spotify, a well-known tech company, suggest adaptability and alignment with modern engineering cultures. The diverse certifications in cloud technologies indicate a proactive approach to learning and staying current. However, without specific project details or community involvement, a deeper assessment of cultural fit is limited. The target role of 'Backend Engineer' aligns well with the candidate's experience.
Soft Skills & Operational Fit
The candidate's progression to Staff Engineer at Spotify suggests strong leadership, problem-solving, and collaboration skills. The lack of specific project descriptions or psychometric test results prevents a detailed assessment of operational fit, but the career trajectory implies a good fit for demanding technical environments.