Junior Data Engineer
As a detail-oriented Junior Data Engineer and a recent graduate of George Brown Polytechnic, I specialize in the architecture and optimization of data-intensive applications. My expertise lies in designing scalable relational schemas and building resilient asynchronous data pipelines that transform complex data streams into organized, actionable assets.
My technical journey is grounded in full-stack development with a heavy specialization in backend infrastructure and cloud-side logic. I have a proven track record of managing distributed systems, ensuring data integrity through rigorous schema design, and deploying cloud-native solutions that handle high-volume transaction monitoring.
George Brown Polytechnic
Completed an intensive curriculum focused on Software Engineering and Advanced Data Structures.
Key Project: Fantasy Fitness — Served as Data Lead for a web-based gamified fitness tracking application designed to address disengagement in Gen-Z and Millennial users. Architected the complete relational database schema using PostgreSQL, implemented Entity Framework Core for data access, and managed continuous migrations for features including point-based rewards, team leaderboards, and social feeds.
Elinext (Software Outsourcing)
Overview: A responsive web application developed to transform fitness into a socially reinforced experience. Features include daily challenges, streak tracking, team collaboration, and a social feed.
Stack: ASP.NET Core MVC 8, Entity Framework Core, PostgreSQL (Supabase), Render.com.
Contribution: As Data Lead, I architected the ERD (Entity Relationship Diagram) for complex models (Users, Challenges, Teams, SocialPosts). I managed the database administration via pgAdmin, viewing migrations and running manual SQL testing to ensure data integrity during the Supabase production deployment.
Gained: Expertise in role-based authentication, Code-First migrations, and deploying high-availability database instances for production.
Overview: Developed as part of the Data Structures and Algorithms course, featuring sophisticated "Human vs Human" and "Human vs AI" modes.
Stack: C#, Specialized Collections (Queues & Linked Lists).
Contribution: Implemented a recursive Minimax algorithm to create an unbeatable AI opponent, highlighting tree traversal and efficient state evaluation.
Overview: A distributed fintech gateway designed to monitor real-time transaction data (JSON) and trigger instant security alerts via cloud logic.
Stack: Java Spring Boot, AWS SQS, Python, Redis, PostgreSQL.
Contribution: Architecting a system where the ingestion API is decoupled from the logic engine via a message queue to ensure resilience under high load.
Diploma in Computer Programming
Focused on the intersection of Software Engineering and Data Systems. Mastered full-stack development patterns, object-oriented programming in Java and C#, and advanced database normalization. Consistently applied theoretical algorithms to real-world cloud deployments and microservice architectures.
Bachelor of Business Administration in Financial Risk Management
Developed a rigorous analytical foundation in quantitative finance and risk modeling. Studied the mechanics of global financial markets, credit analysis, and fiscal regulations—skills that now inform my specialized approach to engineering secure, compliant fintech data pipelines.
Toronto | ON
gracehuynh1912@gmail.com
+1 (123) 456-7890