Your question is R Data Manipulation Pipelines. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How would you build an R pipeline using dplyr to transform a dataset end to end?
Explain how you would ingest data, validate types and required fields, apply joins and business transformations, handle missing or duplicate records, and produce an analytics-ready output. Include an approach for reproducibility, incremental processing, testing, logging, and monitoring using an appropriate R stack.