- Edge Computing & IoT
- Design, deploy, and manage AWS IoT Greengrass components for manufacturing and industrial environments.
- Configure and maintain Greengrass devices for local data processing, filtering, transformation, and secure communication.
- Develop edge applications using AWS IoT Greengrass V2 components.
- Implement machine-to-cloud connectivity patterns for manufacturing systems and plant-floor applications.
- Manage device lifecycle,
provisioning, monitoring, and updates across distributed edge devices.
- AWS Cloud Integration
- Configure and manage AWS IoT Core, IoT Policies, Device Shadows, and Secure MQTT communication.
- Develop secure edge-to-cloud data pipelines using AWS services.
- Integrate AWS IoT solutions with:
- Amazon S3
- AWS Lambda
- AWS Glue
- Amazon SNS
- AWS CloudWatch
- AWS IAM
- Enable real-time event processing and monitoring from edge devices.
- Data Engineering & Analytics
- Build data ingestion pipelines from on-prem manufacturing systems into AWS Data Lake environments.
- Support data transformation and standardization processes.
- Integrate AWS data pipelines with Snowflake Data Warehouse environments.
- Enable downstream analytics and reporting through Power BI and enterprise reporting platforms.
- Troubleshoot data quality, latency, and synchronization issues.
- Security & Governance
- Implement secure authentication and authorization using AWS IAM.
- Configure encryption and secure transport mechanisms for IoT devices.
- Ensure compliance with enterprise security and operational standards.
- Monitor system health, audit logs, and operational metrics.