Case Study: Mandai Wildlife Reserve achieves secure, automated data modernisation with Infinite Lambda

A Infinite Lambda Case Study

Mandai Wildlife Reserve modernises data platform with Infinite Lambda, ingesting 270+ tables daily

Mandai Wildlife Reserve engaged Infinite Lambda to modernize its end-to-end data stack. The challenge involved migrating from legacy systems to a modern platform while adhering to strict security controls that required all data to remain within its own network. The organization also needed to ingest data from a complex landscape of on-prem and SaaS sources, including a large SQL Server estate and SAP, under strong engineering governance that demanded fully automated deployments.

Infinite Lambda implemented a solution using Fivetran's hybrid deployment mode, with ingestion agents running inside Mandai's own AWS environment to meet its security requirements. This was managed entirely as code using Terraform for automated, consistent provisioning. The result was a secure, scalable, and fully automated data ingestion platform. Over 40 data pipelines now ingest more than 270 tables daily, and more than 180 legacy tables were onboarded, providing reliable data availability and accelerating the overall modernization timeline.


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