Analytics Engineering Framework

Project Overview:

The Challenge
Build a modular and scalable analytics foundation using DBT, aligned with medallion architecture, to transform raw marketplace data into clean, business-ready outputs.

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Applications and Impact:

The Solution

‍We implemented a layered data model—ingesting and refining raw (silver) tables, applying cleansing and joins, then transforming them into business-ready (gold) fact tables. Final outputs power dashboards in tools like Power BI, Tableau, and Looker, ensuring consistent metrics and performance.

Mindslake Advantage:

Key Benefits

End-to-end traceability from raw data to dashboards
Clean separation of logic across silver and gold layers
Scalable design supporting CI/CD and future data sources

Result:

A high-integrity analytics pipeline that’s audit-ready, extensible, and built for cross-functional collaboration.

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