This track focuses on classic and modern data engineering workflows, databases and more. Some talks also discuss pipelines and systems that are tailored to data science and machine learning tasks.
Our speakers will cover high-level architectures, best practices and detailed solutions for designing large scale pipelines and databases, reproducibility of ML experiments, automated deployment of ML models in production, algorithms for optimization of a new generation of databases and continuous data pipeline monitoring.
This track will appeal to hands-on data engineering practitioners who fluidly cross the boundary between development and operations.
Masha is an experienced Data Engineer with tenure at Meta (Facebook), Insight Data Science, and Capital One. She is passionate about building and maintaining robust data solutions for various high-volume use cases, bringing diversity to the eng teams, and helping talented people to switch into or grow in data engineering. Her most recent experience is related to Messaging Experiences within Messenger.
Wes is Director of Engineering, Advanced Analytics at Cortico. He's also Technical Advisor at Chartbeat and a Visiting Researcher at the Laboratory for Social Machines at the MIT Media Lab.