Build a Dockerised Python Script to Request data from an API and store in Google Cloud Storage

I am looking for a skilled Python developer to build a cloud-based script using Cloud Run. The script will be responsible for requesting data from the [login to view URL] API and storing it in Google Cloud Storage. Skills and experience needed: - Strong proficiency in Python - Familiarity with Docker - Familiarity with cloud-based services, specifically Cloud Run and Google Cloud Storage - Experience working with API integrations Key requirements: - The script should be able to request Google Ads Search Volume Data from the [login to view URL] API - Keywords to apply to the script will be read from Google Cloud Storage - The API results data will be stored in Google Cloud Storage - The script should run on a monthly basis, requesting data once a month. - The script (through Docker container) will take a date_start and date_end arguments making this suitable for requesting data both monthly and for larger time periods at once - The script should be capable of being run on a serverless environment, such as Google Cloud Run If you have the necessary skills and experience, and are available to work on this project, please submit your proposal. The [login to view URL] documentation can be located here: [login to view URL] The work is done via "tasks" which complete asynchronously so results need to be fetched. Creating the task, and fetching the task results can be separate services / functions. **Build Request Task** Endpoint: [login to view URL] Parameters: - keywords: Loaded from Google Cloud Storage CSV - location_name: London, England, United Kingdom - language_name: English - search_partners: true - date_from: {params} - date_to: {params} **Fetch Result Task** Endpoint: [login to view URL] or Endpoint: [login to view URL] **Store data in CSV in Google Cloud Storage** Store the following in the CSVs by flattening/ transforming the results into a 2d array so there is a row for each monthly_searches array result - spell - language_code - monthly_searches[].year AS year - monthly_searches[].month AS month - monthly_searches[].search_volume AS search_volume Upload this file to a named bucket in Google Cloud Storage. The filename should be the task UUID file extension CSV. The work should be provided in a Dockerised container. Please use a free trial on [login to view URL] for data access. Please use your own Google Cloud account but provide information on how the script should be customised to work with our credentials, i.e. Scopes, Services to enable, Service Account credentials and .json file location in the repo, etc