I’m a SQL Data Engineer at Applied Statistics & Management, where I turn complex data into actionable, well-structured insights.

I’m focused on building broad, practical fluency across the tech stack-strengthening my command of SQL while expanding into complementary tools, languages, and workflows that make data move smarter such as: C++, Java, SQL, Python etc..

I strive to become a valuable asset in all occupational endeavors.

Driven, attentive, quick paced, and friendly, I thrive in environments where details matter and momentum counts. I enjoy collaborating across teams, designing efficient pipelines, and shaping data models that are as reliable as they are readable.

Outside of work, you’ll find me running, exploring nature, and diving into car culture. I also love studying web design-drawing inspiration from clean interfaces, thoughtful typography, and systems that feel effortless to use. That same curiosity and craft shows up in my engineering: clear structure, strong performance, and a user-first mindset.