Hi Everyone š,
I recently built an End-to-End Data Engineering project for analyzing Chicago's Divvy Bikeshare dataset, I used the following techstack for building this project.
⢠Google Cloud Storage (GCS) - as Data Lake
⢠Google BigQuery - for Data Warehouse
⢠Terraform - as Infrastructure-as-Code (IaC) tool
⢠Prefect - for orchestration
⢠dbt - for transformation and data modeling
⢠Google Looker studio - for visualizations
please do check it out and don't forget to star the GitHub repo, and let me know what you think.
link to repository :
https://github.com/Fozan-Talat/divvy-bikeshare-de-project