I am seeking a data role where I can build scalable ETL and analytics solutions, improve data reliability, and partner cross-functionally to drive measurable business impact.
Remy Shea
@remyshea
Data engineer and analytics professional who builds scalable pipelines, models, and actionable BI for stakeholders.
What I'm looking for
I am a data professional with 5+ years of experience across data engineering, analytics, and business intelligence, focused on turning complex data into actionable insights for technical and non-technical audiences. I have built scalable ETL pipelines ingesting millions of records daily, designed medallion-architecture data models in a Databricks Lakehouse, and delivered Power BI reporting that cut refresh times by 80% or more.
I automate workflows with Python and custom connectors, apply infrastructure-as-code for reliable deployments, and collaborate cross-functionally to define KPIs and guide product and operational decisions. My background includes deployment reliability improvements, model training and research experience, and a commitment to reducing costs and improving interpretability for downstream users.
Experience
Work history, roles, and key accomplishments
Built scalable ETL pipelines ingesting millions of records per day for 50+ downstream users, designed Databricks medallion data models to improve consistency and cut Power BI refresh times by 80%+, and implemented IaC to improve deployment reliability and reduce maintenance costs.
Delivered self-serve Power BI dashboards and KPI definitions across Frostbite teams, provided ad-hoc analytics to guide prioritization, and identified PS5 dev-kit bottlenecks that increased hardware availability by 27%.
Data Specialist
Keywords Studios
Jan 2019 - Jan 2021 (2 years)
Maintained schema mappings between game studio databases and centralized reporting, and optimized query performance for analysts, reducing query times by up to 97% to enable faster KPI reporting to leadership.
Research Assistant
B.C. Cancer Research Centre
Jan 2018 - Jan 2019 (1 year)
Trained an RF classifier on endomicroscope images to identify oral pre-cancers with 87% accuracy and presented findings at SPIE Photonics West 2019.
Education
Degrees, certifications, and relevant coursework
Databricks
Professional Certification, Data Engineering
2025 - 2025
Earned Databricks Certified Data Engineer Associate certification in November 2025.
General Assembly
Certificate, Data Science
2019 - 2019
Completed an intensive Data Science Immersive bootcamp (~500 hours) in Spring 2019 focusing on applied data science skills.
University of British Columbia
Bachelor of Science, Physics
2018 - 2018
Completed a Bachelor of Science in Physics with a minor in Economics in 2018.
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