Cloud engineer focused on infrastructure-as-code, data pipelines, and scalable architectures. I specialize in building end-to-end solutions using AWS services like Redshift, Glue, Lambda, and S3 — combined with tools like Terraform, Airflow, and Spark to automate workflows and drive performance.
I launched my tech journey through a Full-Stack Web Development bootcamp at George Washington University, which led to a growing interest in backend systems and cloud platforms. I'm currently pursuing a Master's in Cloud Computing at the University of Maryland Global Campus, and have completed industry-recognized programs from IBM and Udacity in data and cloud engineering.
With 2.5 years of full-time experience and 1.5 years of internships, I've deployed production-grade cloud infrastructure, automated ETL pipelines, and contributed to scalable data platforms — always with a focus on reliability and cost-efficiency.
Earlier in my career, I spent a few years as a journalist — a background that refined my communication and storytelling skills. Today, those same strengths help me bridge the gap between technical complexity and real-world impact.