Fitbit One-Off Batch Pull for Multiple Users to Azure Blob Storage (Python / Cloud Developer)

I am looking for a developer to build a clean, lightweight script that extracts historical user data via the Fitbit Web API and uploads the raw JSON output directly into an Azure Blob Storage container. I already have a microsoft azure platform and I am registered on the fitbit developer platform. I want to make it as easy as possible for the fitbit user to share their data with the platform. The script also needs to be easy for me to execute (or easy to run on my behalf safely). What You’ll Be Doing: Milestone 1 — Platform setup and single user pull Google Cloud project configured in our account, OAuth app and scopes, extraction across all data types including intraday heart rate, raw daily JSON into your Azure container, README. Milestone 2 — Multi user consent flow behind your website A hosted consent page our sign up link points to. Each user signs in with Google, consents, tokens captured securely server side, their historic backfill runs, and their data lands in Azure keyed per user. Static data they manually provide (age, gender, weight) is also captured. This is the core of the project.  Milestone 3 — Verification support and scale hardening You guide and support our Google app verification submission, and harden the pipeline for many users: rate limit and retry handling, resumable batch runs, and per user status logging. Milestone 4 — Handover and support Handoff: Deployment and run documentation, a walkthrough call, and two weeks of support after delivery. Includes a simple README.md explaining how to plug in my API keys/Azure credentials and run the process. Preferred Skills: Strong Python background (using standard Azure Storage SDKs & requests). Experience with Fitbit Web API (or similar OAuth 2.0 / REST health APIs). Experience with Microsoft Azure Storage / Containers.