Using Linux and Bash in Data Engineering

Dr. Alfredo Deza is an Adjunct Assistant Professor in the Pratt School of Engineering at Duke University, where he teaches courses on machine learning, programming, and data engineering. He has been involved in academia for several years, focusing on innovative teaching methods and practical applications of technology. Dr. Deza co-authored the book Practical MLOps and has published several other works related to Python and machine learning. His teaching includes courses such as Python Bootcamp and advanced data engineering topics, and he actively develops online courses available on platforms like Coursera. In addition to his academic role, Dr. Deza works in developer relations at Microsoft, leveraging his extensive experience in software engineering and cloud computing to enhance educational content and support for students and faculty. He collaborates with various universities worldwide, including Georgia Tech and Carnegie Mellon University, to promote knowledge sharing in the field of technology and data science.

Noah Gift is the founder of Pragmatic AI Labs and serves as an Executive in Residence at Duke University, where he lectures in the MIDS Graduate Data Science Program. With nearly two decades of experience, he specializes in machine learning, MLOps, and cloud architecture, designing graduate-level courses that bridge theory and practical applications. Gift is a recognized expert in the field, being a Python Software Foundation Fellow and an AWS Machine Learning Hero, with extensive experience working with major companies such as Disney Feature Animation, Sony Imageworks, and AT&T. He has authored several influential books, including Practical MLOps and Python for DevOps, and has published numerous technical articles across various platforms.In his teaching role, Gift offers a wide range of courses such as Advanced Data Engineering, Cloud Machine Learning Engineering and MLOps, and Data Visualization with Python. His work emphasizes hands-on learning and real-world problem-solving using contemporary tools in AI and cloud computing. By leveraging his industry experience and academic insights, Gift aims to equip students with the skills necessary to tackle complex challenges in data science and machine learning, preparing them for successful careers in these rapidly evolving fields.

Kennedy Behrman is a Senior Data Engineer at Duke University, where he teaches several courses focused on data engineering. His expertise includes Data Visualization with Python, Linux and Bash for Data Engineering, Python and Pandas for Data Engineering, and Spark, Hadoop, and Snowflake for Data Engineering. With decades of experience in data management across various industries, including film, computing, and machine learning, Behrman has developed a strong foundation in both practical and theoretical aspects of data science.In addition to his teaching role, Behrman is involved in designing and consulting on machine learning and cloud architecture courses within the Duke MIDS Graduate Data Science Program. He has authored educational materials and contributed to numerous projects that leverage data for impactful decision-making. His extensive background includes working with major companies such as ABC, Sony Imageworks, and Disney Feature Animation, where he has played key roles in developing products that generated significant revenue. Through his courses, Behrman aims to equip students with the essential skills needed to thrive in the evolving field of data engineering.