Data Engineer Needed: Build Google Sheets Data Pipeline & Looker Dashboard Project Overview

We're looking for an experienced data engineer or analytics engineer to build a reliable data pipeline that extracts data from multiple Google Sheets (including historical data where available) and connects it to a Looker dashboard for team performance reporting. Scope of Work The project includes: Build an automated pipeline to extract data from multiple Google Sheets. Import and organize historical data where available. Design a clean, scalable data model for reporting. Connect the processed data to Looker (Looker Studio or Looker, depending on your expertise and recommendation). Create dashboards that allow us to monitor team performance and key operational metrics. Ensure the pipeline refreshes automatically on a scheduled basis. Document the solution so it can be maintained and extended. Requirements We're looking for someone with experience in: Google Sheets API ETL/ELT pipeline development SQL and data modeling Looker or Looker Studio dashboard development Cloud platforms such as Google Cloud (preferred) Automation and scheduled data refreshes Deliverables Fully automated data pipeline Historical data imported and available for reporting Looker dashboard with agreed KPIs and filters Documentation for the pipeline and dashboard Knowledge transfer session upon completion When Applying Please include: Examples of similar dashboard or data pipeline projects you've completed. The tools and architecture you would recommend for this project. Your estimated timeline. Any questions you have after reading the requirements. We're looking for someone who can build a reliable, scalable solution rather than a one-off script, with clean documentation and best practices.