Gather a list of the top 10-15 data quality tools, both old (e.g. Informatica, Datastage) and new (e.g. Bigeye, Great Expectations), develop some high level categories to put them in, write a short description of the tool, a list of top 3 pros and cons, and a link to the product’s homepage.
Create a blog post presenting this list, that readers can look at as an index of products they should consider if they’re thinking about data quality.
Experience as either a data engineer, data analyst, or data scientist, and familiarity with one or more data quality tools.