Workshop Title: Data Engineering and Feature Engineering
Presenter: Sreyashi Das, Senior Data Engineer at Netflix
Abstract:
Data Engineering and Generative AI are at the forefront of revolutionizing the landscape of technology and business. In the realm of Data Engineering, we are witnessing unprecedented advancements in the collection, storage, and processing of vast amounts of data. This not only enhances the efficiency of data pipelines but also ensures the integrity and accessibility of data in real-time. On the other hand, Generative AI, with its ability to create new content, from text to images and even complex simulations, is pushing the boundaries of what machines can achieve. The synergy of these two fields can lead to the development of more intelligent systems capable of predictive analytics, automated decision-making, and personalized user experiences. For our audience, the implications are profound: businesses can harness these technologies to gain deeper insights, drive innovation, and maintain a competitive edge in their respective markets. As we delve into these topics, expect to explore cutting-edge research, practical applications, and the future trajectory of Data Engineering and Generative AI. The knowledge shared will empower you to leverage these advancements to transform your organizational strategies and operational efficiencies.
Presenter Bio:
Sreyashi Das, Netflix
Sreyashi Das is a Senior Data Engineer at Netflix with a demonstrated history of working in media entertainment and consumer electronics industries. She excels in the design and implementation of both streaming and batch data movement, along with analytical solutions. At Netflix she has developed new data products which provide the foundation for metric development and analysis insights for the Studio and Creative Production team. These products drive data health, launch timeliness, resource availability, and cost optimization. She has also designed a data extraction framework specifically for the animation team. Before her role at Netflix, her expertise was primarily in data warehousing and self-serve business intelligence. Sreyashi loves building high-quality data models.