About
Senior Data Engineer with 8+ years building and owning cloud-native data platforms at enterprise scale. Deep expertise in Snowflake, dbt, Python, and advanced SQL across ELT pipeline design, dimensional modelling, CI/CD testing, and data quality infrastructure serving 1,500+ users. Contributed to $34M in revenue impact through analyst-ready data products. Recent UBC MDS graduate with hands-on ML pipeline delivery. GCP Professional Data Engineer certification in progress.
Skills
- Ability to adapt
- Agile
- AI-assisted development
- Architectural Design
- Attention to detail
- Automated testing
- Business analysis
- Capable of working independently
- Change Management
- CI/CD
- Communication
- Critical Thinking
- Cross-Functional Collaboration
- Data analysis
- Data Validation
- Data visualization
- Decision Making
- Docker
- Executive Reporting
- Git
- GitHub
- Google Cloud
- Incident Management
- Integration
- Jira
- Kubernetes
- Leadership
- Machine learning
- Mentorship
- Microsoft Excel
- MongoDB
- MySQL
- Oracle
- PostgreSQL
- Power BI
- Problem solving
- Process Improvement
- Project management
- prompt engineering
- Python
- Quality assurance
- Reporting
- Requirements gathering
- Risk Management
- Root Cause Analysis
- Scrum
- SQL
- Stakeholder Management
- System monitoring
- Tableau
Experience
Graduate Teaching Assistant
University of British Columbia
Sep 2025 to Jun 2026
Vancouver, BC
• Facilitate lab sessions and grade coursework for 100+ MDS students across data engineering, statistical inference, and machine learning modules.
Data Scientist / MLOps Intern (Technical Lead)
AgriGates.io
May 2025 to Sep 2025
Remote
Technical lead and most senior engineer across a UBC MDS capstone (team of 4) and a paid internship (team of 3), owning data infrastructure and ML pipeline integration for a commercial computer vision product. Audience Choice Award, UBC MDS 2025. • Architected a 19-table ML-ready PostgreSQL star schema (up from 6 tables) unifying video, IMU sensor, telemetry, and human/ML annotation data from 184 hours of video and 224 sensor files into a single queryable system with interval-based temporal alignment. • Guaranteed safe pipeline reruns with zero data loss by building an idempotent Python ETL pipeline with bulk upserts, archive-on-process semantics, and automatic file-state tracking, plus a 13-test SQL validation suite run inside a rolled-back transaction. • Trained a custom YOLOv8 model achieving 89.3% mAP50-95 on held-out validation data and co-developed temporal post-processing logic delivering 96.5-98.7% end-to-end accuracy in the commercial product.
Senior Data Engineer
STEMCELL Technologies
Mar 2019 to Jun 2024
Vancouver, BC
Co-owned the Snowflake and dbt platform alongside a five-person data engineering team, with shared domain ownership and peer review before production merges. Integrated 10+ production source systems into a unified enterprise analytics layer serving 1,500+ global staff. • Designed and owned all ELT pipelines in Snowflake integrating 10+ production source systems (SAP S/4HANA, Salesforce CRM, Workday, JIRA, and 6 marketing API connectors via Fivetran), establishing the company-wide single source of truth for analytics and reporting. • Contributed to $34M in additional sales revenue (24% e-commerce revenue increase) by engineering ELT pipelines in Snowflake that delivered analyst-ready e-commerce datasets (churn, marketplace, website revenue) powering the Tableau dashboards used by Sales and Operations for pricing, procurement, and marketplace decisions. • Reduced query latency by 50% across core reporting datasets by architecting clean, reusable dimensional data models and 50+ dbt-managed Snowflake views and tables with full CI/CD test coverage. • Cut Snowflake compute costs by 40% by re-engineering distributed queries using partitioning strategies and materialized views to streamline process operations reporting. • Sustained production-grade data reliability across all reporting datasets consumed by 1,500+ global staff by implementing dbt custom tests (SQL-based assertions defined in YAML) alongside standard schema tests, with Snowflake task-driven monitoring and alerting across the full platform. • Powered Tableau dashboards tracking a 44% CTR improvement and 22% reduction in cost-per-click across a $1M+ annual PPC budget by building and maintaining two production dbt Cloud pipelines integrating six paid media channels via Fivetran into a curated Snowflake analytics layer. • Delivered a phased, zero-data-loss migration of STEMCELL's entire SAP ERP business intelligence footprint to Snowflake and Tableau as part of a 2-year, 4-engineer workstream, rebuilding 24+ reports and dimensional models across 5 business domains with full downstream dashboard continuity at each cutover. • Reduced ad-hoc data definition requests from ~20/month to fewer than 5/month by designing and leading a 6-month cross-departmental initiative to build a company-wide data dictionary on Confluence, enabling 1,000+ staff to self-serve definitions without routing through the data team. • Reduced peer review cycles and improved code quality across the data team by mentoring 1 co-op student, co-managing onboarding of 3 new hires, and establishing team-wide coding standards and documentation practices.
Health Data Consultant (Contract)
TEEMA (client: PHSA)
Dec 2018 to Mar 2019
Vancouver, BC
Contract engagement supporting a province-wide medical imaging infrastructure standardisation project. • Reduced integration risk across high-volume medical imaging pipelines by leading HL7 gap analysis (v2, v2.xml, v3) across multiple hospital sites, producing mapping documentation used to validate migration correctness during implementation. • Accelerated project delivery and audit readiness by producing the full documentation suite including requirements specifications, system architecture diagrams, test plans, and process flows.
Business & Systems Analyst
Provincial Health Services Authority (PHSA)
Sep 2014 to Jan 2017
Burnaby, BC
Clinical data and health informatics team supporting provincial healthcare system integration. • Reduced manual tracking and lookup time by 70% by designing and leading development of an in-house web-based CMDB to visualise system integration architecture across hospital systems province-wide. • Improved data processing efficiency by 30% for clinical operations teams by developing analytics reports in SSRS and MicroStrategy and building stored procedures in Oracle and SQL Server.
Education
University of British Columbia
Master of Data Science (MDS), Data Science
2024 to 2025
Audience Choice Award. Coursework: Supervised and Unsupervised Learning, Data Retrieval and Storage, Cloud Computing, Statistics, Collaborative Software Development.
University College London
MSc in Health Informatics, Health Informatics
2017 to 2018
Distinction. Dissertation: unsupervised ML (NLTK, k-means) on mental health app reviews.
University of Victoria
BSc in Health Information Science, Health Information Science
2011 to 2015
Licences & certifications
GCP Professional Data Engineer
Tableau Desktop I & II
AWS Technical Essentials
Snowflake Hands-On Essentials: Data Warehousing