Building a Scalable, Cloud-Based Data Platform with AWS


Reduced monthly production tickets from 10–15 to 0–2 through proactive issue identification and permanent resolution

Improved BVA report refresh times by 50–87% through performance tuning and optimization

Built reusable development and testing frameworks that cut development and system testing efforts by 50–60%, accelerating delivery of new pipelines and reports
Actions Taken
Silver Tree led the AWS migration and Data Lakehouse build from inception through execution, providing full-service program and project management. Key steps included:
- Platform Implementation: Oversaw the design and deployment of a scalable AWS platform to serve as the foundation for all future data initiatives.
- Data Lakehouse Development: Partnered with business units, including Finance and Marketing/Sales, to migrate data from Salesforce, spreadsheets, and other sources into a centralized, curated repository.
- Vendor and Stakeholder Coordination: Managed AWS vendors, internal data teams, and enterprise PMO resources, ensuring seamless collaboration.
- Business Alignment: Facilitated requirements gathering with business users to ensure all deliverables tied directly to Save the Children’s strategic goals.
- Scalable “Factory Model”: Established a repeatable process for onboarding additional business units and continuously adding new data “rooms” to the Lakehouse, ensuring the platform grows with organizational needs.

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