Nadya Pena is an accomplished data engineer with a background in computer science. Her passion for data management and analysis has led her to work for prestigious organizations like the National Basketball Association and Credit Suisse. She has extensive experience in building data models, creating data pipelines, and applying statistical techniques to make predictions and identify trends. Nadya's proficiency in various programming languages, frameworks, and technologies has enabled her to adapt to diverse infrastructures seamlessly. She values learning and embraces every opportunity to develop her skills as an engineer. When she's not working, Nadya engages in various projects in Java, JavaScript, and Python, as evidenced by her impressive portfolio on Github.