Technical debt in the code base is one thing, but what to do about technical debt in the database? When a production system hasn't been touched in years, the data models can get nasty and restoring order can seem impossible. How do you untangle the mess and restore the database to efficient service?
Marianne Bellotti is a Data Engineer at United States Digital Service where she specializes in modernizing legacy data pipelines and incident response. Prior to USDS she was the senior software engineer on the Humanitarian Data Exchange, the United Nation's platform for distributing real time humanitarian data.