Passionate and results-driven Data Engineer with a Master’s in Data Science, specializing in building scalable data pipelines, optimizing big data workflows, and leveraging cloud technologies to drive actionable insights. Proficient in Python, SQL, Apache Spark, and distributed computing frameworks like Hadoop, with hands-on experience in ETL development, data wrangling, and cloud platforms such as AWS and Azure. Strong foundation in data warehousing (Snowflake, Redshift, BigQuery), database management (MySQL, PostgreSQL, NoSQL), and workflow automation. Gained practical expertise through a Graduate Assistantship, contributing to machine learning research, and an AI/ML internship, where I worked on data engineering, automation, and large-scale data processing. Passionate about transforming raw data into valuable business insights, optimizing performance, and implementing best practices in data architecture, governance, and security. Eager to contribute to a fast-paced, data-driven environment, leveraging technical skills to solve complex challenges and drive innovation.
Data Science Hackathons and Competitions
University of Maryland, Baltimore County