CASE STUDY

Building an e-commerce data pipeline

An end-to-end analytics platform that consolidates data from Shopify, Google Analytics 4, Meta Ads, and Google Ads into a unified Snowflake analytics layer and enables trusted reporting across all storefronts.

The Challenge

The client ran several Shopify storefronts with data scattered across Shopify, GA4, Meta Ads, and Google Ads. With no central environment for cross-store analytics, each platform reported its own numbers, and reporting depended on manual exports, spreadsheets, and cleanup.

Fragmented Data
Data spread across Shopify, GA4, Meta Ads, and Google Ads with no shared home.
Shopify Google Analytics 4 Meta Ads Google Ads
No Centralized Reporting
No single environment for cross-store analytics.
Inconsistent Metrics
Different platforms produced different numbers.
Manual Reconciliation
Reporting relied on exports, spreadsheets, and manual cleanup.
Multi-Store Complexity
Difficult to analyze performance across multiple storefronts.

The Solution

Automated Data Ingestion
Airbyte automatically ingests data from Shopify, GA4, Meta Ads, and Google Ads into the warehouse, replacing manual exports with scheduled, repeatable pipelines.
Airbyte
Airbyte
Automated ingestion from Shopify, GA4, Meta Ads, and Google Ads.
Snowflake
Snowflake
A central, governed warehouse for all storefront data, provisioned with Terraform.
dbt
dbt
Data modeling and transformation into clean, tested tables.
Lightdash
Lightdash
A semantic layer and dashboards for self-service reporting.
Data flows from source systems through a governed warehouse into trusted, self-service reporting.
Centralized Data Warehouse
Consolidated every source into Snowflake as a single, governed home for all storefront data.
Infrastructure as Code
Provisioned Snowflake infrastructure and RBAC with Terraform — warehouses, roles, grants, and databases.
Data Modeling & Transformation
Modeled and transformed raw data with dbt into clean, tested tables with standardized business logic.
Self-Service Reporting
Developed Lightdash dashboards for portfolio-level and individual store performance, exposing governed business metrics through a semantic layer.

Results

With every source consolidated and modeled in one place, the client gained a single, trusted analytics platform spanning all storefronts, replacing fragmented exports and conflicting numbers with consistent, self-service reporting.

Unified Data Platform
Consolidated Shopify, GA4, Meta Ads, and Google Ads into one analytics environment.
Automated Data Pipelines
Automated ingestion and processing workflows.
Trusted Reporting
Standardized business logic and metric definitions.
Multi-Store Architecture
One platform with portfolio and individual store dashboards.
Modern Data Stack
Built on Snowflake, dbt, Lightdash, and Terraform-managed infrastructure.

TECHNOLOGIES USED

Shopify
Shopify
Google Analytics 4
GA4
Meta Ads
Meta Ads
Google Ads
Google Ads
Airbyte
Airbyte
Snowflake
Snowflake
Terraform
Terraform
dbt
dbt
Lightdash
Lightdash