BRYAN PAGET

linkedin.com/in/bryanpaget github.com/bryanpaget

PROFESSIONAL SUMMARY

Team Lead and data engineering leader with deep expertise in building secure, scalable, open-source data science platforms for government. Proven ability to architect Kubernetes-based infrastructure (Kubeflow, JupyterLab), mentor technical teams, and drive adoption of reproducible, ethical data practices across institutional boundaries. Combines technical rigor with a human-centered leadership style rooted in collaboration, transparency, and resilience.

TECHNICAL LEADERSHIP EXPERIENCE

STATISTICS CANADA
2022–PRESENT
Team Lead, Open Source Data Science Platform
  • Lead a cross-functional team building a government-wide, open-source data science platform using Kubeflow, Kubernetes, and JupyterLab
  • Architected scalable, secure infrastructure enabling reproducible workflows for 50+ statistical programs
  • Mentor developers in GitOps, CI/CD, containerization, and ethical data handling practices
  • Championed open-source adoption within federal constraints—replacing legacy tools with transparent, community-driven alternatives
  • Collaborate with security, privacy, and cloud teams to ensure compliance with TBS and SSC standards
HEALTH CANADA
2020–2022
Lead Data Science Consultant
  • Designed and deployed machine learning pipelines for public health surveillance and consumer price analysis
  • Built data infrastructure supporting real-time analytics during pandemic response
  • Led technical mentorship for junior data scientists and analysts
  • Translated complex model outputs into clear, actionable insights for non-technical stakeholders
STATISTICS CANADA
2019–2020
Data Analyst, Consumer Prices Division
  • Automated manual data processing workflows using Python and open-source tools
  • Identified critical inefficiencies in Excel/PowerBI-dependent processes—laying groundwork for future platform migration
  • Collaborated with economists on statistical methodology and data validation

EDUCATION & CREDENTIALS

UNIVERSITY OF OTTAWA
2014–2019
BSc and MSc in Statistics
  • Thesis research in natural language processing and statistical modeling
  • Published in FLAIRS-29 conference proceedings
CERTIFIED KUBERNETES APPLICATION DEVELOPER (CKAD)
2025
  • Validated expertise in Kubernetes application design, deployment, and troubleshooting

TECHNICAL SKILLS

PLATFORMS:
Kubernetes
Kubeflow
JupyterLab
Docker
CLOUD & INFRA:
AWS
Google Cloud
Azure
Linux
CI/CD
GitOps
LANGUAGES:
Python
R
Golang
Bash
SQL
DATA ENGINEERING:
Reproducible Workflows
Data Pipeline Design
SAS Migration
Open Data Standards
LEADERSHIP:
Team Mentoring
Cross-functional Collaboration
Stakeholder Communication
Open Source Advocacy
Ethical Data Governance

LEADERSHIP APPROACH

I lead by enabling—not controlling. My strength lies in building infrastructure that empowers teams to do their best work: platforms that are robust yet flexible, processes that are rigorous yet humane, and cultures that value both technical excellence and human integrity.

In uncertain times, I anchor my leadership in three principles: transparency (open systems, open knowledge), resilience (through mentorship, redundancy, and adaptability), and service (technology must serve people, not bureaucracy). I am developing my inner warrior—not for dominance, but for steadfastness—so I can steward teams through complexity with clarity, compassion, and unwavering ethics.