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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
Experienced lead data engineer. Technology Highlights: Python, R, Apache Spark, Scala, AWS, GCP, DBT, SQL, Argo, Airflow, Kubernetes, Docker, Linux, Shell scripting.
University of Washington
Bachelor of Arts (B.A.), Anthropology
N/A – Present
Amperon
Principal Data Engineer
September 1, 2024 – Present
Amperon
Senior Data Engineer
May 1, 2023 – September 1, 2024
Data Artificer, LLC
Principal Consultant
September 1, 2022 – May 1, 2023
Sage Bionetworks
Lead Data Engineer
March 1, 2020 – September 1, 2022
Sage Bionetworks
Senior Data Engineer
April 1, 2019 – March 1, 2020
Nortal US
Lead Data Engineer
September 1, 2018 – March 1, 2019
Greater Seattle Area
zulily
Senior Software Engineer, Machine Learning
September 1, 2016 – August 1, 2018
Greater Seattle Area
zulily
Senior Software Engineer, Fulfillment Center Systems
July 1, 2015 – September 1, 2016
Greater Seattle Area
zulily
Software Development Engineer II, Fulfillment Center Systems
July 1, 2014 – June 1, 2015
Greater Seattle Area
Cooperative Institute for Research in Environmental Sciences
Software Developer / Science Associate
March 1, 2013 – January 1, 2014
Boulder, CO
Coastal Environmental Systems
Software Developer
August 1, 2006 – February 1, 2013
Seattle, WA and Remote
Real Networks
Full Stack Web Developer
October 1, 2004 – August 1, 2006
Seattle, WA
The Data Scientist's Toolbox
Coursera
June 24, 2026 – Present
R Programming
Coursera
June 24, 2026 – Present
Data Science as a Field
Coursera
June 24, 2026 – Present
Python for Genomic Data Science
Coursera
June 24, 2026 – Present
Machine Learning Foundations: A Case Study Approach
Coursera
June 24, 2026 – Present
Data Mining Pipeline
Coursera
June 24, 2026 – Present
Ethical Issues in Data Science
Coursera
June 24, 2026 – Present
Information Privacy and Security
CITI Program
June 24, 2026 – Present
Data Science Foundations: Data Structures and Algorithms Specialization
Coursera
June 24, 2026 – Present
Biomedical Research - Basic/Refresher
CITI Program
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse work history across various companies and roles, including full-time and freelance positions. The progression through different levels of data engineering and software development roles indicates adaptability and a drive for growth. The certifications in data science and ethical issues suggest a commitment to continuous learning and responsible data practices. However, the target role of 'Data Analyst' is a significant shift from 'Principal Data Engineer', which might indicate a mismatch in career trajectory or a desire for a different type of challenge. The extensive experience in data engineering might lead to overqualification for a pure data analyst role, or a potential for the candidate to bring a strong engineering perspective to analysis.
Soft Skills & Operational Fit
The candidate's career progression from Software Developer to Principal Data Engineer, including lead roles, suggests strong leadership, problem-solving, and project management skills. The freelance consulting experience also indicates autonomy and client management capabilities. However, without direct assessment data, specific soft skills like communication clarity or teamwork cannot be definitively evaluated.