Technical Documentation.
A 7-figure kitchen brand loses $3,400 a month to mismeasured FBA dimensions. Hardcoded SQL fixes this. Below are the official architectural blueprints, dbt models, and SQL reference guides. Deploy client-owned 4-Tier Medallion data pipelines across your Amazon brand portfolio. The schemas are open.
- 01. Zero Black-Box ETLsAll transformations execute via open, client-inspectable dbt SQL models. They run inside your own Google Cloud or BigQuery warehouse.
- 02. Isolated Staging TiersWe firmly reject single-step transformation layers. Bronze ingest and Silver dbt sanitation remain strictly separated. This guarantees verifiable auditability.
- 03. Deterministic EconomicsHardcoded SQL logic reconciles SP-API ProductFees ledgers. It matches Freightos ocean containers and 3PL warehousing fees. No spreadsheet macros required.
Quickstart: Architecting Client-Owned BigQuery Infrastructure
Provision a dedicated Google Cloud project. Set up IAM service account permissions. Initialize secure cloud storage buckets for the OS pipeline.
- >IAM Service Account role policies for automated SP-API ingest
- >Configuring BigQuery dataset locations & partition policies
- >Setting up zero-trust cloud secret manager for API keys
gcloud iam service-accounts create dataeffet-spapi-pipeline \ --description="Sovereign SP-API & dbt Medallion Runner" \ --display-name="dataeffet-os-pipeline"
Bronze Layer: Raw SP-API GET_FINANCES_DATA Payloads
Extract unedited settlement ledgers directly from the Amazon Selling Partner API. Bypass Seller Central UI smoothing. This specification covers order fee withholdings and refund events.
- >Handling API 429 rate limits with exponential backoff queues
- >Parsing unallocated ProductFees & shipment invoice timestamps
- >Schema validation for European (EUR/GBP) settlement reports
{"endpoint": "/finances/v0/financialEvents", "method": "GET", "queryParams": {"MaxResultsPerPage": 100, "PostedAfter": "2026-08-01T00:00:00Z"}}Silver Layer: Reconciling dbt FBA Fee & COGS Staging Models
Forcefully sanitize raw ledgers using separated dbt Silver models. Map Freightos container freight bills. Match every operational expense to its parent ASIN deterministically.
- >Why we reject single-step staging layers for data accuracy
- >Automated dbt unit tests for detecting FBA packaging fee variances
- >Carton-level landed freight & 3PL warehousing cost allocation
select
f.asin,
f.order_id,
f.amazon_fee_usd,
coalesce(c.landed_container_freight_usd, 0) as freight_cogs
from {{ ref("stg_spapi__finances") }} f
left join {{ ref("stg_freightos__container_rates") }} c using (asin)Gold Layer: True TACoS & Daily SKU Unit Economics Views
Apply operational math against clean Silver tables. Generate daily SKU-level P&L views. The output serves executive reporting and Business Intelligence consumption.
- >Calculating absolute net margin after landed freight and 3PL fees
- >True TACoS formula vs. standard Seller Central ACoS aggregation
- >Multi-currency normalization (USD, EUR, GBP) using daily ECB APIs
SELECT
sku,
SUM(gross_revenue) - SUM(fba_fees) - SUM(landed_cogs) - SUM(attributed_ad_spend) AS absolute_net_margin_usd
FROM {{ ref("int_sku_daily_economics") }}
GROUP BY 1;AMC Diamond Layer: Multi-Touch DSP & PPC Attribution SQL
Write custom SQL queries inside Amazon Marketing Cloud (AMC). Track customer impression paths across Sponsored Brands video and DSP programmatic ads.
- >Measuring New-to-Brand (NTB) subscriber conversion velocity
- >Detecting and flagging zero-conversion vampire keyword clusters
- >Bridging AMC attribution outputs with Shopify DTC customer cohorts
SELECT path_pattern, COUNT(DISTINCT user_id) AS total_converters, AVG(total_attributed_margin_usd) AS avg_ltv FROM amc.dsp_sponsored_ads_path_analysis GROUP BY 1 ORDER BY 2 DESC;
The Engine CLI: Local Rust & Terminal Pipeline Audits
Install the command-line interface. Execute dbt tests. Trigger BigQuery medallion transformations and check search indexing directly from your macOS terminal.
- >Installing the CLI package locally via Cargo and Rust
- >Running automated Medallion data hygiene checks locally
- >Integrating Google Search Console (GSC) CLI auditing commands
cargo install dataeffet-cli && \ dataeffet pipeline run --layer=silver --target=bigquery-prod \ --verify-deterministic-math=true
Why We Enforce Separated Bronze & Silver Layers
Third-party SaaS tools flatten Amazon settlement data in a single black-box ETL pass. Amazon routinely updates API schemas. They issue retro-adjusted packaging fees. When this happens, single-step pipelines fail silently. The OS isolates each transformation stage. We enforce separated Bronze and Silver layers via dbt. This guarantees absolute auditability.
Raw Payload Ingestion
Stores immutable JSON payloads directly from SP-API and Ads API. Ensures complete historical backup before any logic is applied.
dbt Sanitation
Separated dbt staging models clean and normalize data. They match order payouts against landed container freight quotes deterministically.
Unit Economics Truth
Hardcodes 3PL storage and True TACoS. It generates unquestionable daily net contribution margin tables per SKU.
AI & BI Execution
Feeds high-speed executive dashboards. It enables natural-language terminal queries across your entire brand portfolio.
Related Engineering Resources & API Directories
Why 8-Figure Amazon Brands Are Abandoning SaaS for Sovereign Data
EcoFlow DELTA Pro (ASIN: B0C1Z4GLKS) | Algorithmic Unit Economics
Amazon Germany | Smart Home Automation & IoT Sensors Report
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