Final Project Brief

Purpose of the final project: demonstrate professional-level data engineering skills

Team structure: cross-track teams with web, data, and other track members

The data track role: building the data backend that powers the shared application

Project timeline: kickoff, milestones, check-ins, and final presentation

What makes a strong final project: reliability, clean code, documentation, and a working demo

Portfolio value: how to present this project to employers

Minimum viable product (MVP): defining the smallest useful version to build first

Minimum viable product (MVP) definition template

Communication expectations: standups, shared boards, and cross-track syncs

Starter architecture diagram showing how all pieces connect: ingestion → dbt → Azure PostgreSQL → dashboard, orchestrated by Airflow

Day 1 setup checklist: repo created, Azure resources provisioned, data source selected, dbt project initialized

Final demo format: how to structure a 10-minute project presentation (problem statement, architecture, live demo, lessons learned)

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