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Data Warehouse

Snowflake Integration

Unify Amazon, marketplace, ads, analytics, and CRM data in Snowflake — with proper schema design, incremental loads, and dbt-ready models.

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Overview

About Snowflake

Snowflake is where serious eCommerce data lives. We build Snowflake pipelines that ingest from every relevant source — Amazon SP-API, Vendor Central ARA, Google/Meta/TikTok Ads, GA4, Klaviyo, Shopify — into well-designed schemas. We handle incremental loading, slowly-changing dimensions (think ASIN attribute history), idempotent retries, and dbt-ready transformation models so your analysts can work in pure SQL.

Capabilities

What we build with Snowflake

🚰
Source Pipelines
Custom Snowpipe / external function ingestion from any API or file source — incremental, idempotent, retry-safe.
🏗️
Schema Design
Properly modeled raw / staging / marts layers, slowly-changing dimensions, and consistent naming conventions.
🔄
dbt Models
Production-ready dbt projects covering eCommerce-specific transformations (P&L, ad attribution, cohorts, returns).
🔐
Governance
Role-based access control, masking policies for PII, and audit logging across schemas.
📊
BI Layer
Looker, Tableau, Mode, or Hex semantic layers tied directly to Snowflake mart models.
💰
Cost Optimization
Warehouse sizing, auto-suspend rules, cluster keys, and materialization strategy to control credit consumption.
Use Cases

How clients use our Snowflake work

01

Amazon → Snowflake pipeline

End-to-end SP-API + Ads API + ARA ingestion into Snowflake with full historical backfill.

02

Unified P&L by SKU

Combine fees, returns, ad spend, COGS, and overhead into a true unit economics view at the ASIN level.

03

Customer 360

Merge order, email, ads, and support data into a unified customer table with LTV and cohort logic.

FAQ

Common questions about
Snowflake integration

Yes — dbt is our default transformation layer for Snowflake projects. We deliver versioned dbt projects with tests, docs, and CI.
Yes. We work fluently across Snowflake, BigQuery, and Redshift — the principles are the same; only the dialect changes.
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Snowflake integration

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Snowflake?

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