At KONE, one of the world’s leading manufacturers in the elevator and escalator industry, I served as one of the core engineers on an enterprise-level Data Movement Layer (DML) initiative. The project aimed to replace Mulesoft with a highly scalable, AWS-native solution capable of handling 3 million events per day.
The system was built with over 200 unique interfaces and organized using robust architectural patterns:
Architecture Highlights
Synchronous
- API Gateway, Lambda, Mangum, Pydantic
Asynchronous
- MSK (Kafka), Firehose, Glue Data Catalog, EventBridge
Kone Data Platform connection
- S3, Glue
Data Host
- RDS, DynamoDB
My Responsibilities
- Implemented designed solutions using Infrastructure as Code (CDK), Python, and Azure DevOps
- Applied AWS best practices in security, logging, and error handling using:
- CloudWatch, IAM, WAF, Secrets Manager, Parameter Store, VPC, and SSO
- Actively contributed to system design discussions
- Supported and mentored junior team members
- Delivered regular technical demos to stakeholders and clients