Pratt & Whitney - Cloud Data Ingestion & Real-Time Analytics on AWS

Optimized SFTP-to-S3 pipelines and built real-time AWS analytics for Pratt & Whitney with Vue.js, Spring Boot, and ECS.

Client
ChallengeModernize data ingestion and real-time analytics pipelines
ResultAccelerated SFTP-to-S3 workflows, boosted uptime, and delivered real-time dashboarding
TagsAWS, Big Data, Python & AI, Energy & Transport

TaylorMade Software partnered with Pratt & Whitney to optimize cloud-based data ingestion pipelines and enable real-time analytics for aerospace manufacturing systems.

We streamlined SFTP file delivery into S3 using AWS EventBridge, Lambda, and ECS Fargate, cutting data transfer and ingestion time by 40%. Our enhancements ensured robust, event-driven workflows with 99.9% uptime using CloudWatch, CI/CD DevOps pipelines, and automated notification systems.

To surface insights, we developed a real-time analytics dashboard in Vue.js, powered by a custom Spring Boot-based Data Dictionary API running in AWS EKS. This improved data accessibility and observability by 50% across their engineering teams.

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