How would you transform the bronze_user_sessions table into a silver table with aggregated session metrics?

I would start by loading the bronze table into a Spark DataFrame or a SQL warehouse like Snowflake. Using window functions, I would partition by session_id and order by event_timestamp to identify the first and last events, which give the session start and end times. I would then compute the session duration as the difference between the last and first timestamps. I would also count the number of events per session and flag special events such as login or logout. After deriving these metrics, I would write the result to a silver table with a clear schema: session_id, user_id, device, region, session_start, session_end, duration_seconds, event_count, and any flags. Finally, I would schedule the job to run hourly or in near real‑time, ensuring idempotency by using upserts or merge statements. This silver table can then feed dashboards or downstream analytics.