Daniel Tietie

I'm a final-year Computer Science student at the University of New Brunswick, specializing in data engineering and analytics, with an expected graduation in December. My focus has been on building end-to-end data pipelines, writing SQL workflows, and creating dashboards that turn raw data into something people can actually use to make decisions.

My most substantial hands-on experience comes from an internship at the Municipal Property Assessment Corporation (MPAC), where I processed 48M+ historical records using Python and SQL, restructured JSON data into normalized schemas, and built analytical models to validate data quality across multiple project types. Outside of that, I've independently built two portfolio projects: a Housing Market Analysis Dashboard and an NBA Analytics Platform, both involving multi-stage data pipelines, SQL querying, and interactive Streamlit dashboards.

I'm seeking internships or full-time opportunities in data engineering, analytics, or adjacent roles where I can work on real problems, contribute from day one, and continue building my skills alongside experienced professionals. I'm open to roles across Canada and comfortable working in fast-paced, collaborative environments