US based OEM producing HVAC equipment, water heaters and boilers for residential and commercial buildings.
- The client has 120K+ live devices that send 40GB data per day in an unstructured format and it keeps on growing
- They wanted a scalable, secure and cost-effective solution with flexible architecture and intelligence to analyze such a large data
- Secure, scalable and flexible architecture having Serverless compute and storage
- Data collection, Extract-Transform-Load (ETL) and Data pipeline
- Data catalog and Database management
- Project based implementation with Infrastructure as Code (IaC)
- CloudFormation script for Infrastructure management
- CICD pipeline using GitHub Action
- Data collection script to transfer MongoDb data to S3
- Developed ETL script to convert unstructured data to structured format
- Dashboard development to display and monitor field devices data
- SSO authentication
- Analyze and visualize data
- Enabled faster data transformation by dividing day execution to hour execution for time series data
- Designed pipelines to process data for 1 year that continuously delivered meaningful insights to client
EXT:- 261
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