We talked about:

Angela's background
Angela's role at Sam's Club
The usefulness of knowing ML as a data engineer
Angela's career path
Transitioning from data analyst to data engineer/system designer
Best practices for system design and data engineering
Working with document databases
Working with network-based databases
Detecting fraud with a network-based database
Selecting the database type to work with
Neo4j vs Postgres
The importance of having software engineering knowledge in data engineering
Data quality check tooling
The greatest challenges in data engineering
Debugging and finding the root cause of a failed job
What kinds of tools Angela uses on a daily basis
Working with external data sources
Angela's resource recommendations


Links:

LinkedIn: https://www.linkedin.com/in/aramirez1305/
Twitter: https://twitter.com/angelamaria__r
Github: https://github.com/aramir62
Previous podcast talk: https://twitter.com/i/spaces/1OwGWwZAZDnGQ?s=20


Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html