Serverless Data Lake, Data Warehouse & System Integration for Nonprofit
Services Covered:

Industry
Non-profit Organizations
Duration
48 months
Budget
200K - 999K
Start Date
1 September 2019
Team Size
6-10
Engagement Model
Nearshore
Project Capability Score (PCS)
73/100
Good
Project Capability Score (PCS) estimates how capable Bluesoft 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
Project Summary
BlueSoft Sp. z o.o. was hired by a nonprofit organization to design and implement a serverless data lake on AWS, build a data warehouse and business data marts, and integrate systems such as Salesforce and Workday using MuleSoft. The engagement included delivering Tableau visualizations and multiple system integrations. The work reduced maintenance costs, improved scalability, reduced manual data-integration work, and delivered crucial reports to senior management. The client praised BlueSoft's project management, transparency, and proactive, skilled team.
Key Challenges
- Data warehouse development and maintenance.
- Data lake design and implementation on AWS (serverless).
- System integration based on MuleSoft.
Project Deliverables
- System integration including CDM build on Mule and interfaces between Salesforce, Workday, and other systems.
- Data warehouse development and business data marts with Tableau visualizations.
- Serverless data lake design and implementation on AWS (Redshift, S3, Kubernetes).
Project Solution
BlueSoft designed and built a serverless data lake on AWS and implemented a data warehouse and business data marts. They delivered system integrations (CDM on Mule) connecting Salesforce, Workday, and other systems and produced Tableau visualizations from the datamarts. The vendor participated in requirements gathering, implemented business data marts, and executed cloud architecture using AWS services (Redshift, S3) and container/orchestration tools referenced in the engagement.
Project Outcome
- Replacing existing project with a data lake, reducing maintenance costs and enabling scaling.
- Delivering crucial reports to higher management.
- Connecting different data marts in the data warehouse.
- Reducing the amount of manual work related to data integration and MDM.
Platforms
Cloud
API/Integration Platform
Tech Stack
Amazon Web Services (AWS)
Amazon RedShift
S3
Client Endorsement
Overall Review Rating
4.88
5 out of 5 stars
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
Thanks to BlueSoft Sp. z o.o., we've scaled our business and gotten key reports to senior management. Their project management is excellent, and they're very transparent. They're efficient, professional, and proactive, and their capable people make them stand out.
Note: This endorsement is based on publicly available client feedback from external review sources.
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