Collin Brown

(M.Sc. Candidate, M.A.)

Sr. Data Architect & Technical Lead

Proven Data Engineering and Solution Architecture expertise. Track record of successful delivery of complex data-driven software projects in large enterprise settings.


Overview

Combining my background in Data Science, Software Engineering, and Platform Development, I’ve driven projects at every level of the data value chain. From pioneering proof-of-concepts to leading large-scale system redesigns, I’ve honed expertise in scalable data architectures and DevOps best practices. My focus now is on implementing data mesh architectures by embedding myself in domain-aligned data product teams, ensuring that valuable concrete solutions drive meaningful organizational transformation.

skills

Soft Skills
  • Prioritizing Valuable Work Prioritizing Valuable Work
  • Understanding Business Requirements Understanding Business Requirements
  • Optimizing Team Interactions Optimizing Team Interactions
  • Documentation Documentation
  • Project Management Project Management
Solution Architecture
  • System Design System Design
  • Software Design Software Design
  • Cloud Cost Optimization Cloud Cost Optimization
  • Cloud Networking Cloud Networking
  • Test Automation Test Automation
Data Engineering
  • Apache Spark
  • SQL SQL
  • Data Modelling Data Modelling
Programming Languages, Operating Systems & Tools
  • Python
  • Java
  • Go
  • JavaScript
  • Linux
  • Git
  • Pytest
Cloud Providers and DevOps
  • Azure
  • Google Cloud Platform
  • Terraform
  • Docker
  • Kubernetes
  • ArgoCD and Workflows
Platforms & Project Management
  • GitLab
  • Jira
  • GitHub
Natural Languages
  • English (Fluent) English (Fluent)
  • French (Limited Proficiency) French (Limited Proficiency)

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experience

Sr. Data Architect & Technical Lead

Consumer Prices Division - Statistics Canada

Leading the divisional architecture task team to align existing data product sub-systems with target enterprise architecture goals, and establishing best practices for development, aiming to enhance data product maturity and open-source development.

May 2024 - Present

Sr. Platform Developer

Various IT Teams - Statistics Canada

Led multiple development efforts for a Kubernetes-native data analytics platform, implementing horizontal capabilities and advising on data mesh architecture.

May 2022 - April 2024

Data Engineering Specialist

Data Science Division - Statistics Canada

Led an 18-month redesign of a large data processing system for transportation statistics. Delivered the solution on time, under budget, and ensured a smooth transition to production.

October 2020 - April 2022

Jr. Data Scientist

Data Science Division - Employment and Social Development Canada

Led Proof-of-Concept projects in data analytics and machine learning, delivering actionable insights and automation through small-scale internal tools and analysis outputs.

August 2018 - September 2020

education

Georgia Institute of Technology

Master of Science
Computer Science

Interactive Intelligence Specialization

2024 - 2027 (Expected)

Athabasca University

Computer Science Core Curriculum

2020-2023

Queen’s University

Master of Arts
Economics

2017-2018

McMaster University

Bachelor of Arts
Economics

Minor in Mathematics and Statistics

2013-2017

Paper - What Drives Bitcoin Fees? Using SegWit to Assess Bitcoin’s Long-Run Sustainability

Can Bitcoin remain tamper-proof in the long run? We use block-level data from the Bitcoin blockchain to estimate the impact of congestion and the US dollar price on fee rates.

January 2021

Doccano

Open source annotation tool for machine learning practitioners.

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Lingui-JS

An open source internationalization library for JavaScript.

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