How to Build an Amazon Data Connector

How to Build an Amazon Data Connector (The Right Way)

If you manage Amazon clients, run an agency, or operate a brand at scale, you already know the pain:
Your Amazon data lives everywhere except where you actually need it.That is why one of the most common requests we get at Deltologic is:
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“Can you build us a custom Amazon data connector we can use for our dashboards?”
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Yes. And we have done it many times.
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We also built our own connector inside DataDoe which is becoming an AI-powered data engine for Amazon sellers and agencies.
After dozens of real client implementations and a lot of trial and error, here is the clean, modern, and scalable way to build an Amazon data connector.

Why Teams Need Their Own Amazon Data Connector

Amazon provides great APIs, but they are:

• Split between SP-API, Ads API, and sometimes Vendor
• Delivered in inconsistent formats
• Throttled and rate-limited
• Missing unified historical views
• Hard to visualize without a proper data pipeline

Sellers and agencies want:

• One centralized database
• Automated refresh
• Fast dashboards in Looker Studio or Power BI
• Stable long-term historical data
• The ability to build their own tools on top of the data

If you do not design the connector the right way, you end up with:

• Missing or inconsistent data
• Slow dashboards
• Expensive compute
• API timeouts
• Manual work every month

We have seen this many times, which is why we built a repeatable approach that works.

Our Recommended Architecture for 2026

After building dozens of connectors, the setup that works best is:

AWS Lambda for data extraction

• Serverless
• No infrastructure to manage
• Cheap
• Automatically scalable
• Perfect for scheduled SP-API and Ads API jobs

Google BigQuery for storage and analytics

• Very fast
• Extremely cost-effective
• Ideal for large Amazon datasets
• Native Looker Studio compatibility
• Easy SQL joins for dashboards

This architecture lets you handle huge amounts of Amazon data with minimal maintenance and cost.

What Data You Should Pull From Amazon

Most high-value connectors rely on two core API families:

1. Amazon SP-API

Common report types include:

• Orders
• Sales and Traffic
• Listings
• Catalog Items
• Vendor Sales
• Vendor Traffic

These reports are perfect for:

• Revenue tracking
• Profitability models
• Inventory and listing analytics
• Marketplace comparisons

2. Amazon Ads API

Standard datasets:

• Campaign performance
• Targeting
• Placement
• Sponsored Products
• Sponsored Brands
• Sponsored Display

These are used for:

• ROAS and ACOS tracking
• Keyword performance
• Creative performance
• Cross-marketplace ad comparisons

Typical refresh cycles:

• Ads: daily
• Orders: daily
• Listings: daily
• Catalog: weekly
• Traffic: daily or monthly

How We Structure Amazon Data in a Clean, Scalable Way

We keep the structure simple, future-proof and optimized for analytics.

1. Incoming Zone

This stores Amazon data exactly as delivered by SP-API and Ads API.

Reason:

• Full transparency
• Simple debugging
• No accidental data loss

2. Standardized Zone

Here we convert the incoming data into clean, consistent tables that are easy to use.

This usually includes:

• Fixing inconsistencies between marketplaces
• Standardizing currency formats
• Normalizing naming conventions
• Aligning different Amazon ad types

3. Analytics Zone

This is where we build the datasets used in dashboards:

• Sales combined with ads
• Organic vs paid views
• Profitability views
• Product performance
• Account summaries

These datasets are built for:

• Power BI
• Looker Studio
• Internal tools
• Custom dashboards

Nothing here exposes any client architecture. It is simply the best practice structure for Amazon analytics.

Should You Build It Yourself or Hire a Team

You can build it internally if you have:

• Strong backend engineers
• SP-API and Ads API experience
• AWS and BigQuery knowledge
• Time to maintain the system long-term

Most teams do not.

That is why agencies, aggregators and brands come to Deltologic.

We already have the full blueprint and know what pitfalls to avoid.

Want Deltologic to Build Your Amazon Data Connector?

We can help you:

• Build a complete Amazon data warehouse
• Connect Power BI or Looker Studio
• Integrate SP-API and Ads API
• Store long-term historical data
• Automate reports

Contact us at deltologic.com to schedule a consultation.