Justin Moynihan
Big Data EngineerSVP of Technology
Dstillery
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SVP of Technology
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced software engineer and machine learning practitioner with a focus on clean efficient code and system architeture. Most recently a machine learning team lead.
Rochester Institute of Technology
Computer Science
January 1, 2008 – January 1, 2010
College of Charleston
MS, Computer Science
January 1, 2006 – January 1, 2010
Alfred University
BA, Computer Science
January 1, 2002 – January 1, 2006
Dstillery
Senior Vice President of Technology
January 1, 2026 – Present
Dstillery
VP of Machine Learning & Engineering
March 1, 2025 – January 1, 2026
Dstillery
Director of Machine Learning
April 1, 2023 – February 1, 2025
Dstillery
Lead Machine Learning Engineer
June 1, 2021 – May 1, 2023
Dstillery
Principal Machine Learning Engineer, Data Science
April 1, 2018 – June 1, 2021
Dstillery
Senior Machine Learning Engineer, Data Science
July 1, 2017 – April 1, 2018
Dstillery
Senior Software Engineer, Data Science
April 1, 2016 – July 1, 2017
Dstillery
Software Engineer, Data Science
September 1, 2015 – April 1, 2016
Dstillery
Java Developer
June 1, 2013 – August 1, 2015
Blackbaud
Technical Consultant
June 1, 2007 – May 1, 2013
College of Charleston
Research & Teaching Assitant
September 1, 2006 – May 1, 2007
Charleston, South Carolina Area
Blackbaud
Technical Consulting Intern
June 1, 2006 – May 1, 2007
Cultural Fit Analysis
The candidate has a long tenure at a single company (Dstillery) with a clear progression through various technical and leadership roles, primarily focused on Machine Learning and Data Science. While this demonstrates loyalty and deep domain expertise, the lack of diverse project experience or exposure to different company cultures might be a consideration for roles requiring broad industry exposure or rapid adaptation to new environments. The target role of 'Big Data Engineer' aligns well with their experience in data pipelines and large-scale systems, but specific Big Data technologies (e.g., Hadoop, Spark, Kafka) are not explicitly mentioned in the provided skills, which could be a gap.
Soft Skills & Operational Fit
The candidate's career progression from Software Engineer to Senior Vice President of Technology at the same company (Dstillery) suggests strong leadership, problem-solving, and collaboration skills. The description of working in an agile environment and with data science teams indicates good operational fit for dynamic technical roles. The early experience as a Technical Consultant also points to client interaction and requirement gathering abilities.