To clean and model event-level data for analysis in Databricks, follow these steps:

• Ingest data from Snowplow into Databricks using Apache Spark or Delta Lake
• Clean the data by removing duplicates, filling in missing values, and filtering out irrelevant events
• Model the data by creating structured features that are relevant for analysis and machine learning, such as user behavior metrics or session attributes
• Use Spark SQL or PySpark to apply transformations and aggregations to the data, preparing it for analysis