Explain your SQL-first process for turning messy source data into a clean dataset that can power a reliable ABC Education dashboard. Focus on how you inspect data quality, define the target grain, standardize categories and dates, join lookup tables safely, and validate the final output before it reaches a visualization layer.
Data wrangling in SQLChoosing the correct grain for reportingUsing joins without duplicating rowsStructuring transformations with CTEsStandardizing messy values with CASE WHEN and date functionsGive a practical workflow rather than a generic analytics answer. The interviewer expects you to describe how you would structure the SQL, what checks you would run, and how you would make the final dataset stable for charts, filters, and recurring refreshes.