Data Platform

Data Platform and Analytics Scale-Up for a Premium Fashion Brand

2025-06-01

7 min

Wasle

Mission Overview

Mission Title	Data Platform and Analytics Scale-Up
Client	CTO (confidential fast-growing premium fashion brand)
Type of Profile	Lead Data Engineer and Analytics Lead (interim, hands-on)
Duration	Multi-quarter engagement (build + rollout)
Core Stack	Snowflake, dbt, Airflow, Power BI

Context

The brand was scaling fast across retail and ecommerce. Data was fragmented across business tools, creating inconsistent reporting, slow decision cycles, and limited trust in numbers. The goal was to build a single source of truth and deliver executive-grade analytics across teams.

What We Built

Workstream	Delivery	Impact
Data Foundation	Snowflake warehouse with a medallion-style model layer in dbt, production-ready standards	Reliable source of truth and scalable structure for new domains
Ingestion and Orchestration	Automated pipelines with Airflow, including enterprise source feeds and operational workflows	Faster refresh cycles and reduced manual dependencies
Business Models	Large-scale dbt modeling effort, including analytics-ready marts for core functions	Consistent definitions and reusable metrics
Analytics and Dashboards	Power BI datasets designed for executive, operational, and functional reporting	Clear visibility across retail, ecommerce, CRM, finance, and supply
Self-Service Enablement	Exploration of search and self-service BI patterns for non-technical users	Improved adoption and reduced reporting bottlenecks

Key Deliverables

149 dbt models deployed on Snowflake, structured to support scale and governance
21 integrated data sources across operational and growth systems
31 Power BI datasets covering CRM, retail, ecommerce, finance, supply, wholesale, and leadership reporting
Automation of critical workflows, including enterprise operational inputs and collaboration tooling

How We Worked

Direct collaboration with the CTO and transformation stakeholders
Weekly prioritisation based on business impact and operational urgency
Production standards: naming conventions, model layering, release discipline, and documentation
Adoption-first dashboards: fewer metrics, clearer ownership, faster decisions

Results

One trusted reporting layer across functions
Faster delivery of new analytics use cases and fewer ad-hoc requests
Improved decision cadence across commercial and operational teams

“Wasle built a reliable data foundation fast and turned it into dashboards our teams actually use.”

CTO, Premium Fashion Brand

We built a reliable data foundation fast and turned it into dashboards our teams actually use.

Tech Lead, Premium Fashion Brand

Conclusion

A modern, scalable data stack that aligned retail, ecommerce, CRM, finance, and marketing into one source of truth, with measurable execution speed and stronger decision-making.

Data Platform and Analytics Scale-Up for a Premium Fashion Brand

Mission Overview

Context

What We Built

Key Deliverables

How We Worked

Results

We built a reliable data foundation fast and turned it into dashboards our teams actually use.

Conclusion

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