Etienne Wang
Data Engineer @TransLink
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WORK HISTORY
Data Engineer @TransLink
New Westminster, BC, CA
Core Focus: Spearheading the modernization of enterprise data infrastructure by adopting Software Engineering best practices.Key Achievements:Modern Data Stack Migration: Leading the architectural shift from legacy stored procedures to a modular, testable framework using dbt and Snowflake/Azure.Engineering Rigor: Implemented CI/CD pipelines (Azure DevOps/GitHub Actions) and automated testing strategies, reducing manual deployment errors by 90%.Orchestration: prototyping asset-based orchestration using Dagster and Python to replace fragile task-based schedulers, improving data reliability and observability.Data Quality: Established automated data quality checks and lineage tracking, ensuring stakeholders trust the metrics for critical decision-making.Tech Stack: Python, SQL, dbt, Snowflake, Azure, Dagster, Git.
EDUCATION
University of Manitoba
Master's degree, Biosystems Engineering
ABOUT ETIENNE WANG
I am a Data Engineer and Architect who brings Software Engineering rigor to Data Analytics.I build data platforms that stakeholders can trust. My approach moves beyond ad-hoc SQL scripting to creating Data Products that are modular, testable, and automated. I am particularly focused on the intersection of Data Engineering and AI Engineering, ensuring that clean, governed data feeds the next generation of intelligent applications.Currently, I am focused on mastering the Modern Data Stack to solve problems at scale.Technical Toolkit: Engineering: Python, SQL, Git, CI/CD (GitHub Actions/Azure DevOps) Architecture: dbt, Dagster, Snowflake, Databricks, Airflow Philosophy: Data as Code, Asset-based Orchestration, DRY PrincipleAlways learning, always building. Open to connecting with fellow engineers and architects in the Vancouver tech community.
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