// CASE STUDY
E-Commerce Product Lake
Replacing old system performing "new to release" item process in days with solution taking only few seconds.
- Year
- 2022
- Dev team
- 20 eng.
- Users
- 200
- Duration
- > 12 months
// 01 Result
Replacing old system performing "new to release" item process in days with solution taking only few seconds.
// 02 Used technologies
- swagger
- AWS
- AWS-apiGateway
- AWS-cloudWatch
- AWS-dynamodb
- AWS-EC2
- AWS-lambda
- AWS-RDS
- AWS-rekognition
- AWS-s3
- AWS-SNS
- AWS-SQS
- AWS-SSM
- openAPI
- REST API
- Python
- Splunk
- pylint
- GIT
// 03 Challenge
Migration, onboarding of partners, coordination of near-shore and off-shore teams.
For one of the German largest E-Commerce and Retail Corporation we take a lead in developing Serverless API driven product lake platform covering:
Data Management and Lifecycle of Articles and Products API driven architecture offering robus and secure backend openAPI specification exposed to clients and used internally as deployment driver performance oriented implementation on NoSQL database, with more than 20 M items in productive environment serverless, horizontally scalable approach
