Sachendra Chouhan

Designed and deployed AWS IoT infrastructure to enable secure device connectivity and communications. Built scalable cloud components supporting device onboarding, management, and event-driven processing. Supported end-to-end IoT operations with AWS-native services for the device ecosystem.

Set up Bitbucket repositories, webhooks, and CI/CD pipelines to streamline build and deployment workflows. Migrated selected on-premises applications to AWS using Kubernetes and supported production deployment troubleshooting. Focused on improving release automation and operational reliability for the migrated services.

Designed and deployed enterprise AWS infrastructure using Infrastructure as Code with Terraform, improving governance and provisioning consistency. Built CI/CD automation for analytics workloads with GitHub Actions and implemented serverless, event-driven architectures. Led AWS proof-of-concepts and production support for CI/CD and infrastructure issues. Implemented DevSecOps controls using IaC and security scanning tools within GitHub Actions pipelines.

Developed Terraform-based Infrastructure as Code for AWS IoT environments, ensuring standardized and automated provisioning. Implemented event-driven serverless services using AWS Lambda and messaging patterns for reliable device communication. Ran containerized proof-of-concepts with Docker and Kubernetes, and managed data pipelines including DynamoDB and S3 log archival. Monitored infrastructure health using Splunk and Datadog.

Automated AWS infrastructure provisioning using Terraform, AWS CloudFormation, and Jenkins to accelerate deployment cycles and enforce IaC practices. Administered AWS services such as S3 and EC2, improving reliability and operational consistency. Configured CloudWatch monitoring and notification mechanisms to strengthen observability and reduce incident response time. Led on-premises application migration to AWS using cloud-native DevOps practices.

Performed Hadoop-based analysis to identify customer behavior patterns and support data-driven decision-making. Processed and analyzed large datasets using distributed computing to contribute to business intelligence activities. Produced insights aimed at improving operational performance through large-scale data analysis.

Designed and developed enterprise Java applications using Spring and Hibernate-based MVC architecture for maintainable, scalable solutions. Collaborated with stakeholders to gather requirements and implemented technical solutions across the project lifecycle. Provided technical guidance and mentoring to development teams as part of delivery and maintenance efforts.