Open to opportunities

Bhaskar ram Vemula

@bhaskarramvemula

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Experienced DevOps Engineer specializing in cloud infrastructure and automation.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, with opportunities for growth in cloud technologies and DevOps practices.

I am a results-driven DevOps Engineer with over 5 years of diversified IT industry experience, primarily focusing on cloud technologies, automation, and infrastructure management. My expertise spans across AWS and Azure platforms, where I have successfully designed, deployed, and maintained cloud solutions for the financial and healthcare sectors. I have a strong background in creating CI/CD pipelines, utilizing tools like Jenkins and GitLab, and implementing infrastructure as code using Terraform and Ansible.

Throughout my career, I have demonstrated my ability to optimize cloud environments for high availability and fault tolerance. I have hands-on experience with container orchestration using Docker and Kubernetes, and I have developed modular Terraform configurations to streamline infrastructure management. My commitment to continuous improvement and best practices in DevOps has enabled me to collaborate effectively with cross-functional teams, ensuring the delivery of secure and reliable applications.

Experience

Work history, roles, and key accomplishments

Current

Azure DevOps Engineer

Current

Lineage

Aug 2023 - Present (1 year 11 months)

Created and maintained S3 buckets, implemented policy management for storage, and utilized Glacier for backup. Implemented Docker based CI/CD pipelines in Jenkins, reducing deployment failures and streamlining the release process.

AWS S3 Docker Jenkins Terraform Ansible Kubernetes Apache Airflow Snowflake Azure Synapse Splunk Kafka Python Maven Git Prometheus Grafana

AWS DevOps Engineer

W. R. Berkley Corporation

Jan 2023 - Present (2 years 6 months)

Proficient in AWS Cloud platform and its features which includes EC2, VPC, EBS, AMI, SNS, RDS, EBS, Cloud Watch, Cloud Trail, Cloud Formation AWS Config, Autos calling, Cloud Front, IAM, S3, and R53. Implemented a Continuous Delivery pipeline with Docker and GitHub and AWS.

AWS Docker GitHub RDS S3 AWS Lambda Airflow Python BASH TypeScript Kubernetes Nagios ELK Prometheus

DevOps Engineer

Legato Health Technologies

Aug 2021 - Present (3 years 11 months)

Designed a robust future state Ingestion Framework solution leveraging Azure Data Factory, Azure SQL database & Data warehouse. Developed and maintained Java-based applications, ensuring high performance and responsiveness to production needs.

Azure Data Factory Azure SQL Data Warehouse Python Jenkins Terraform Apache Airflow Snowflake Azure Synapse Jira Docker Kubernetes Helm

Cloud Engineer

Razorpay

Mar 2019 - Present (6 years 4 months)

Implemented AWS Code Pipeline and created Cloud formation JSON templates in Terraform for (IAC) infrastructure as code. Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates, Cloud Watch, Cloud Trail and Cloud front to setup and manage the cached content delivery.

Code Pipeline Terraform AWS CloudFormation RESTful APIs Java Spring Boot Bitbucket Jenkins Docker Kubernetes Gradle Prometheus Grafana

Education

Degrees, certifications, and relevant coursework

Wichita State University

Masters, Computer Science

Pursued a Master's degree in Computer Science, focusing on advanced topics and research within the field. Developed a strong foundation in theoretical and applied computer science principles.