Absolutely. I often joke that my work as a data scientist is mostly creating bar graphs for people. The actual analysis is often reasonably simple, its the aggregating of the data that is hard (its messy, its not all in the one spot and there is lots of it).

So start with querying your big data to say what the top three event types are. Then slowly crank up the analysis complexity, but not too much. The data engineering has lots of scope for real solid and obvious applications.