He is passionate about technologies and is always curious to learn about the latest innovations happening in the technology domain. During his career he has gained expertise in multiple industry domains and technologies such as Big Data, Analytics, Machine Learning, Artificial Intelligence, Relational/NoSQL/Graph Databases, Web/Mobile Application development and cloud technologies such as Amazon Web Services & Google Cloud Platform.

Dylan Qu is a technology leader, architect, engineer, and public speaker with 8 years of experience in the IT industry. He currently works at Amazon Web Services (AWS) as a Principal Solutions Architect, where he helps customers architect highly scalable, performant, and secure data solutions on AWS. Dylan has authored various blogs and whitepapers across a diverse range of technologies, such as big data, serverless, IoT and machine learning. He is passionate about new technologies and adept at turning technical innovations into production workloads at scale.

Anusha Challa brings over 14 years of comprehensive experience to the analytics and data warehousing field. She worked with 100s of diverse clients and developed scalable data architectures to meet specific organizational needs. With a master’s degree in computer science specializing in Machine Learning from Georgia Tech University, Anusha has authored informative blogs and whitepapers covering topics such as data warehousing, data security, Machine Learning, and Artificial Intelligence. Anusha’s expertise extends to public speaking engagements, where she has delivered presentations at major events including AWS re:Invent and the AWS Summit in New York, sharing her insights on data analytics and cloud computing. Passionate about her work, Anusha remains dedicated to exploring emerging technologies and industry trends in data analytics.