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Build a Node.js microservice that syncs product catalog data from a Shopify store to Google Merchant Center using the Content API for Shopping v2.1.

1. DATA FETCHING:
- Use the Shopify GraphQL Admin API to query all active products, variants, titles, descriptions, product types, vendor, price, inventory quantity, image URLs, weight, barcode (GTIN), and metafields.
- Implement pagination to handle stores up to 25,000 SKUs without memory exhaustion.

2. TRANSFORMATIONS & MAPPING:
- Transform each Shopify variant into a Google Shopping product object.
- Map fields according to Google specifications:
  * id: store variant ID formatted as 'shopify_US_productID_variantID'
  * title: Max 150 chars. Append vendor/brand and key attributes if missing.
  * description: Strip HTML tags, truncate to 5000 chars.
  * link: Full URL with standard UTM parameters (utm_source=google&utm_medium=cpc&utm_campaign=shopping).
  * image_link: Primary variant image URL.
  * availability: 'in stock' if inventory > 0 else 'out of stock'.
  * price: object with value (decimal formatted string) and currency (e.g., USD).
  * gtin: Map from barcode. If empty, set identifier_exists to false.
  * brand: Map from product vendor.
  * google_product_category: Map using custom rules config file or default mapping.

3. GOOGLE MERCHANT CENTER SYNC:
- Authenticate with Google API using Service Account JSON credentials.
- Use the Content API batch custombatch endpoint (products.custombatch) to push up to 1000 items per request.
- Implement retry logic with exponential backoff for HTTP 429 and 5xx errors.

4. SCHEDULING & WEBHOOKS:
- Set up a CRON job (node-cron) to perform a full sync daily at 02:00 UTC.
- Expose webhook endpoints '/webhooks/product-updated' and '/webhooks/product-deleted' to handle incremental real-time inventory and pricing updates.

5. ERROR LOGGING:
- Log all rejected products or missing required fields to a local JSON log file and notify via Slack webhook if the batch error rate exceeds 2%.

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