Devops EngineerSamya Nandy
• Build the Analytics Dashboard using AWS Quick sight.
• Collect the Realtime Stream data using AWS Kinesis and Load into S3
• Create the Metadata Table using AWS Glue
• Query S3 bucket data using AWS Athena
• Deploy the entire set up using AWS Code pipeline.
• Implement event-driven architecture utilizing AWS Lambda and EventBridge for automated triggers and actions based on real-time data ingestion from AWS Kinesis, ensuring timely and responsive system behavior.
• Develop scalable and cost-effective data processing pipelines leveraging AWS Glue for ETL (Extract, Transform, Load) operations, ensuring data quality and consistency for analytics and reporting purposes.
• Design and configure AWS CloudWatch for monitoring and logging across the entire infrastructure, establishing proactive alerts and alarms to ensure system health and performance
What's included
MLOps infrastructure Engineer
• Deployed machine learning models on AWS SageMaker, leveraging its scalable infrastructure and managed services to deploy, manage, and host predictive models, ensuring seamless integration with production applications.
• Implemented end-to-end machine learning pipelines on AWS SageMaker, encompassing data preprocessing, model training, hyperparameter tuning, and deploying models as RESTful APIs, optimizing for high availability and low latency
Samya's other services
Starting at$50 /hr
Tags
AWS
Azure DevOps
Google Cloud Platform
Jenkins
Redis
Backend Engineer
Frontend Engineer
Software Engineer
Service provided by
Samya Nandy India
Devops EngineerSamya Nandy
Starting at$50 /hr
Tags
AWS
Azure DevOps
Google Cloud Platform
Jenkins
Redis
Backend Engineer
Frontend Engineer
Software Engineer
• Build the Analytics Dashboard using AWS Quick sight.
• Collect the Realtime Stream data using AWS Kinesis and Load into S3
• Create the Metadata Table using AWS Glue
• Query S3 bucket data using AWS Athena
• Deploy the entire set up using AWS Code pipeline.
• Implement event-driven architecture utilizing AWS Lambda and EventBridge for automated triggers and actions based on real-time data ingestion from AWS Kinesis, ensuring timely and responsive system behavior.
• Develop scalable and cost-effective data processing pipelines leveraging AWS Glue for ETL (Extract, Transform, Load) operations, ensuring data quality and consistency for analytics and reporting purposes.
• Design and configure AWS CloudWatch for monitoring and logging across the entire infrastructure, establishing proactive alerts and alarms to ensure system health and performance
What's included
MLOps infrastructure Engineer
• Deployed machine learning models on AWS SageMaker, leveraging its scalable infrastructure and managed services to deploy, manage, and host predictive models, ensuring seamless integration with production applications.
• Implemented end-to-end machine learning pipelines on AWS SageMaker, encompassing data preprocessing, model training, hyperparameter tuning, and deploying models as RESTful APIs, optimizing for high availability and low latency
Samya's other services
$50 /hr