Sage Therapeutics
On a mission to pioneer solutions to deliver life-changing brain health medicines, so that every person can thrive.
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problem
The organization relied on manual, Excel-based data processing workflows that were time-consuming, error-prone, and difficult to scale as data volume increased.
Critical business operations took hours to complete, creating delays in decision-making and reducing operational efficiency.
Additionally, backend infrastructure was provisioned manually, leading to inconsistent environments, configuration drift, and frequent deployment errors that increased rework and maintenance overhead. The lack of automation and event-driven architecture limited system reliability and hindered rapid iteration and scalability.
solution
Replaced manual, Excel-driven workflows with a reliable, event-driven serverless backend, cutting processing time from hours to minutes by designing asynchronous pipelines using API Gateway, Lambda, EventBridge, and SQS.
Automated backend infrastructure and deployments to reduce provisioning errors and rework by ~20%, by implementing Infrastructure as Code with AWS SAM/CloudFormation for Lambda, API Gateway, and S3
see also
