Data Engineering

Gifting Platform Data Warehouse

C
Corporate Gifting SaaS
8 weeks
5 Technologies

Key Results

80%

Reduction in ad-hoc data requests to engineering

4x

Faster time-to-insight for business questions

$50K/yr

Estimated savings from self-service analytics

1The Challenge

A fast-growing corporate gifting platform had data scattered across their operational database, Snowflake historical data, and third-party APIs. Executive team lacked visibility into key business metrics and couldn't access insights without engineering support.

2Our Solution

Built an end-to-end data warehouse on Snowflake using Fivetran for automated ingestion and dbt for transformation. Created a semantic layer that business users could query directly, enabling self-service analytics.

Our Approach

1

Mapped data sources including operational PostgreSQL database, existing Snowflake tables, and third-party APIs

2

Configured Fivetran connectors with continuous sync for real-time data availability

3

Developed dbt models with automated SQL workflows for data transformation

4

Designed star schema for optimal query performance and ease of understanding

5

Connected Tableau for visualization, enabling drag-and-drop analysis for stakeholders

Gifting Platform Data Warehouse — data analytics case study by Alfa Analytics

✓The Impact

80%

Reduction in ad-hoc data requests to engineering

4x

Faster time-to-insight for business questions

$50K/yr

Estimated savings from self-service analytics

Technology Stack

SnowflakeFivetrandbtTableauPostgreSQL

Project Details

Client

Corporate Gifting SaaS

Industry

Data Engineering

Duration

8 weeks

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