Tram Nguyen

I’m a Data Engineer with a strong foundation in Python and SQL, focused on building reliable, scalable data infrastructure. I take a structured approach to data ingestion, transformation, and quality assurance so data stays consistent and dependable across systems.

In my current role, I support IT infrastructure across a multi-site, 24/7 production environment, balancing operational reliability with cloud modernization. I’ve contributed to migrating legacy on-premise systems to cloud-based architecture in Azure, while also developing automation scripts to reduce manual intervention and improve consistency.

Previously, I worked as a Data Engineer & Operations Analyst, where I centralized data systems and built reporting that leadership could use for performance reviews. I designed and delivered Power BI dashboards, integrated booking and customer feedback data into PostgreSQL, and used Python (pandas, NLTK) to transform data and extract actionable insights.

I also bring a business-first mindset from founding and scaling a B2B cosmetics distribution start-up, where I built data-driven operational systems and performance monitoring. Right now, I’m strengthening my production engineering skills through an intensive Data Engineering program—building production-style ELT pipelines with AWS and dbt, including scalable, maintainable workflows aligned with real business use cases.