What this case proves

This repository connects the pieces that usually get discussed in isolation. Infrastructure is not separate from analytics here: Terraform defines the AWS base, S3 receives the raw files, and Databricks notebooks turn those files into silver and gold Delta outputs that a downstream team could actually reuse.

Why the architecture is credible

The case keeps the medallion path inspectable. You can point to the raw bucket strategy, to the event simulator, to the silver cleanup notebook, and to the gold aggregation notebook. That makes the platform story concrete instead of aspirational.

Tradeoffs worth making explicit

The repo uses simulated events and notebook-driven execution because the goal is portability and clarity. In production, the next layer would be job definitions, stronger secret management, data quality assertions, and environment separation. The important part is that the foundational split between storage, compute, and governed layers is already visible.

Practical takeaway

For modernization conversations, this case helps explain that a lakehouse is not just Spark plus cloud. It is a repeatable path from raw event landing to reusable business aggregates with ownership at each stage.