endorsedOngoing

Retail Data Engineering & Azure Cloud Modernization

Services Covered:

Cloud Consulting and Services • Solution Architecture

Industry

E-commerce & Retail

Duration

24 months

Budget

10K - 49K

Start Date

1 August 2024

Team Size

1-5 Employees

Engagement Model

Nearshore

Project Capability Score (PCS)

73/100

Good

Project Capability Score (PCS) estimates how capable Bluetris is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

Kuala Lumpur, Malaysia

Project Summary

Bluetris Technologies delivered data engineering and cloud consulting for a retail company, implementing a centralized Azure-based data platform. They built ETL pipelines, created curated data models, and integrated near real-time POS feeds to enable analytics. Their work produced unified dashboards that improved visibility into customer trends, inventory turnover, and campaign effectiveness across 50+ stores.

Key Challenges

Modernize retail operations and improve data-driven decision-making.
Replace a fragmented, siloed, poorly structured data landscape lacking centralized scalable infrastructure.
Unify and streamline data pipelines to support advanced analytics.
Adopt cloud infrastructure with a focus on Microsoft Azure and scalable governance.

Project Deliverables

Enterprise-grade Azure Data Lake
Reusable ETL pipelines built with Python and Apache Spark (deployed in Azure Databricks)
Curated data models and warehouse integration
Near real-time POS data integration
Cloud governance, security, and cost-optimization strategies in Azure

Project Solution

Bluetris performed a discovery and assessment, then implemented an enterprise Azure Data Lake and built reusable ETL pipelines using Python and Apache Spark deployed in Azure Databricks. They developed curated data models for operational and analytical workloads, integrated near real-time POS feeds, and provided cloud consulting for governance, security, and cost optimization. They also conducted knowledge transfer to client IT staff.

Project Outcome

Unified data dashboards provided visibility into customer trends, inventory turnover, and campaign effectiveness.
Manual data compilation processes were automated, reducing reporting time from days to minutes.
Predictive inventory planning reduced overstocking and stockouts.
BI team empowered to build interactive dashboards for 50+ retail locations, improving operational transparency.

Platforms

Tech Stack

Python
Apache Spark
Azure

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Bluetris Technologies Pvt. Ltd.'s work has helped the client access data dashboards that have provided visibility into customer trends, inventory turnover, and campaign effectiveness. The team has been professional and communicative, and their expertise and tailored solutions have stood out.”
Anonymous
Head of ICS
Date: 04/17/2025