Nadya Pena
About Nadya Pena
Nadya Pena is a Data Engineer at the NBA with a background in Computer Science and extensive experience in software development and data engineering.
Professional Background
Nadya Pena is working as a Data Engineer at the National Basketball Association (NBA) since 2020, located in the United States. Before her tenure at NBA, she worked at Credit Suisse for several roles, including Data Engineer (2017-2020), Application Developer (2016-2020), and Software Developer Intern (2015). She has also interned as a Software Solutions Intern at John Wiley and Sons (2014) and an Actuarial Intern at Prudential Financial (2012-2013). Nadya started her career as a ResNet IT Technician at The College of New Jersey, serving from 2011 to 2016.
Data Engineering Expertise
Nadya Pena specializes in developing data pipelines using Hadoop tools, Python, and Spark. At her current role with the NBA, she leverages these technologies to manage and process large datasets. Her foundational skills in Computer Science aid her in learning and adapting to new programming languages and technologies.
Educational Background
Nadya Pena earned her Bachelor's Degree in Computer Science from The College of New Jersey, where she studied from 2010 to 2016. She has a strong academic foundation that supports her professional expertise in data engineering and software development.
Previous Projects and Roles
While working at Credit Suisse, Nadya Pena contributed to building large-scale booking and pricing tools using C# and JavaScript in the Equity Derivatives Team. Her role spanned multiple capabilities from application development to data engineering, showcasing her versatility and proficiency in software development.
Community Engagement
Nadya Pena maintains a GitHub account where she showcases various projects, contributing to the open-source community. Additionally, she engages with the broader tech community through platforms like Medium and Quora, sharing her insights and learning from others.