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Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level DevOps position. Ready to help team achieve company goals.

Having 5.0+ years of experience in IT industry comprising of Linux, Build & Release Engineering, DevOps Engineer, AWS Services, Containerization and Deployment. Experience in Working with Cloud Platform like Amazon Web Services and good knowledge in using various services like AWS EC2, VPC, S3, IAM, Security Groups Route53, Elastic Load Balancers, Auto Scaling, Cloud Formation, Cloud Front. Build Management-Experience in tools such as Jenkins, Maven, and Nexus for build management. Hands on experience with Configuration Management Tools such as Chef, Terraform and Ansible. Worked for Agile Projects. Familiar with Software Development Life Cycle (SDLC) processes. Knowledge in Amazon Web Services (AWS). Familiar with AWS IAM, EC2, VPC, LB, Snapshot, EBS, AMI, LC, Cloud Watch Monitoring, Data dog. Experience in Installing, configuring and maintaining Apache/Tomcat Application Servers. Database Configuration experience on MySQL Hands experience on Amazon EC2 cloud deployments using DevOps tools like Jenkins and (chef/Ansible) Extensive Experience in Jenkins master-slave for multi machine builds. Hands on experience with SCM tools like Git for branching, tagging and version management Setup code repositories Like GITHUB, BITBUCKET and managed plug-ins for Jenkins for scheduled automatic checkout of code. Written Templates for AWS infrastructure as a code using Cloud Formation to build staging and production environments. Cloud Formation for automating VPCs, ELBs, Security groups, SQS queues, S3 buckets and continuing to replace the rest of our infrastructure Setting up databases in AWS using RDS, storage using S3 bucket and configuring instance backups to S3 bucket. Involved in developing the Azure Solution and Services like IaaS and PaaS. Working with the ELK (Elastic Search, Log stash, Kibana) stack to analyze and monitor log data. Solid Knowledge on Virtualization Server tools like KVM, VMware vSphere. Solid experience in Cloud Computing services (IAAS, PAAS, SAAS) Excellent understanding of SDLC methodologies like Agile, Waterfall. Experience in writing scripts in Python, Ruby, Shell, Bash, and PowerShell to automate deployments. Experience in deploying and configuring GIT repositories with branching, tagging, notifying. Implemented a GIT mirror for SVN repository, which enables clients to utilize both GIT and SVN. Extensive experience in using Build Automation tools like Ant and Maven for building of jar, war and ear files. Extensively worked on Jenkins for continuous integration and for end-to-end automation for all build and deployments. Experience on Ansible as configuration management tool, quickly deploys critical applications. Worked with Ansible playbooks for virtual and physical instance provisioning, patching and software deployment. Proficient in installing Chef Workstations, Bootstrapping Nodes, writing Chef Recipes, cookbooks and uploading them to Chef Servers. Understanding of infrastructure automation using Docker and Ansible. Solid implementation knowledge on Docker, Kubernetes automation solution for Continuous Integration Continuous Delivery model. Experience in using Kubernetes to provide a platform for automating deployment, scaling, and operations of application containers across clusters of hosts. Experience in trouble shooting and automated deployment to web and application servers like Web Logic, Web Sphere, JBoss and Tomcat over AWS Cloud. Experience in implementing and administering monitoring tools Nagios, Splunk, Zabbix and Cloud Watch. Experience with container-based deployments using Docker, working with Docker images, Docker hub and Docker registries.

Passionate AWS Cloud/DevOps Engineer proficient in streamlining development, deployment, and operations processes. Skilled in CI/CD pipeline implementation, infrastructure as code, and automated deployment strategies. Proficient in AWS services including EC2, S3, Lambda, and CloudFormation. Strong scripting and automation background, dedicated to enhancing efficiency and scalability. A collaborative team player committed to continuous improvement and innovation in cloud environments.

I specialize in designing, building, and optimizing large-scale data architectures to drive strategic decision-making and operational efficiency. My journey has spanned diverse industries and roles, where I've leveraged advanced data analytics, big data technologies, and machine learning to tackle complex business challenges and unlock data-driven insights.

Currently, I work as a Data Scientist at JPMorgan Chase & Co., where I develop predictive models, automate resiliency testing frameworks, and build ETL pipelines that support enterprise resilience and operational continuity. My expertise spans Spark, Hadoop, Snowflake, AWS, and a range of data engineering and machine learning tools, enabling me to deliver scalable, robust, and efficient solutions.

My approach combines a strong foundation in data engineering with a passion for continuous learning and innovation. I focus on emerging technologies and best practices in data science, cloud computing, and data governance. Thriving in collaborative environments, I have a proven track record of leading projects that enhance system performance, improve data accuracy, and deliver transformative insights to support business resilience and strategic goals.

With a proven track record at Discover Financial Services, I excel in Java, Spring framework, and Agile methodologies, demonstrating strong problem-solving skills and a commitment to excellence. My expertise in developing scalable microservices and leading successful project deployments showcases my technical proficiency and collaborative teamwork abilities.

BASKAR KRISHNA S

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BE - computer science and Engineering

Diploma - mechatronics engineering

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Diploma - mechatronics engineering

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BE - computer science and Engineering

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