Angela Ramirez, a data engineer with experience in fraud prevention, talks about her career journey, the usefulness of knowing ML as a data engineer, best practices for system design and data engineering, working with different types of databases including document and network-based databases, and selecting the appropriate database type to work with. She also discusses the importance of software engineering knowledge in data engineering, data quality check tooling, debugging failed jobs, and working with external data sources.