Etienne Noumen is a seasoned Professional Engineer based in Calgary, Alberta, Canada, with over 20 years of experience in software engineering and a specialized focus on data engineering using AWS services for the past 5+ years. His extensive career spans across various domains, including cloud computing, data management, and application development. Etienne’s journey in the tech industry began with a solid foundation in software engineering, where he honed his skills in designing and developing robust applications. His passion for data and cloud technologies led him to explore the vast potentials of AWS, making him an expert in data-related AWS services. Over the years, he has built and deployed numerous cloud-based educational applications, sharing his knowledge and empowering others to harness the power of the cloud. With a commitment to continuous learning and professional development, Etienne has earned several AWS certifications, cementing his status as a trusted authority in the field. His practical experience and deep understanding of AWS tools and services have equipped him with the insights necessary to guide aspiring data engineers through the complexities of the AWS Certified Data Engineer - Associate exam. Etienne’s dedication to education and mentoring is evident in his writing style, which emphasizes clarity, practicality, and hands-on learning. He believes in the power of practice and real-world application, encouraging readers to go beyond memorizing concepts and to truly understand and implement AWS solutions. When he’s not diving into data engineering projects or developing educational content, Etienne enjoys participating in tech communities, sharing his expertise through webinars, blogs, and workshops. His passion for technology is matched only by his desire to see others succeed and thrive in the ever-evolving landscape of cloud computing. Etienne Noumen’s book, “Ace the AWS Certified Data Engineer Exam,” is a testament to his expertise and commitment to helping professionals achieve their certification goals and advance their careers in data engineering.