As a data engineer at Wrinkle Systems LLC, I design, develop, and maintain data pipelines and systems that support data-driven decision making and policy formulation. I work with a variety of data sources and platforms, such as SQL, NoSQL, AWS, and Hadoop, to ensure data quality, reliability, and accessibility. I also collaborate with data analysts, researchers, and stakeholders to understand their data needs and provide solutions that meet their requirements and expectations.I have a strong passion for data and its potential to improve education outcomes and opportunities. I graduated with a master's degree in computer science from University of Dayton, where I focused on data science and machine learning. I also obtained two certifications in Python for Data Science and AWS Certified Data Analytics – Specialty, demonstrating my proficiency and expertise in these domains. I have applied my skills and knowledge to various projects and challenges, such as designing a data warehouse for State Farm, developing a Python-based web application for Eficens Systems, and creating a machine learning model to predict student performance. I am always eager to learn new tools and techniques, and to contribute to the data community.