UDAY PUDOTA

Senior Data / Devops engineer

Webilent Technlogy Inc

07.2021 - Current

Accomplished AWS expert in designing and implementing scalable and secure cloud solutions
Efficiently collaborated with clients to understand specific requirements and effectively communicating them to team members
Part of team implementing the REST API’s in Python using micro-framework such as FastAPI with Postgres in the backend for management of data center resources on which Open Stack would be deployed
Running analytics on power plant data using PySpark API with Jupyter notebooks in on-premise cluster for certain transforming needs
Closely involved with the Product Owners, BA, technical team, and QA in the story estimation
Experienced with AWS cloud platform and its features, which includes EC2, S3, ROUTE53 VPC, EBS, AMI, SNS, RDS AND CLOUD WATCH
Worked with core AWS services (S3, EC2, ELB, EBS, Route53, VPC, Auto Scaling etc.), deployment services (Elastic Beanstalk, Ops Works, and Cloud Formation) and security practices (IAM, Cloud Watch and Cloud Trail)
Building ETL jobs using PySpark API with Jupyter notebooks in on-premise cluster for certain transforming needs and HDFS as data storage system
Implemented an Airflow ETL pipeline and deployed using Ansible and Docker in AWS EC2 instance
Wrote Python modules to extract/load asset data from the MySQL source database
Developed CI/CD system with Jenkins on Azure’s Kubernetes container environment, utilizing Kubernetes and Docker for the runtime environment for the CI/CD system to build and test and deploy
Creating/Managing AMI/Snapshots/Volumes, Upgrade/downgrade AWS resources (CPU, Memory, EBS).
Improved code deployment efficiency by automating processes with CI/CD pipelines.
Reduced system downtime for critical applications by implementing robust monitoring and alerting tools.
Enhanced application performance by optimizing infrastructure configurations based on usage patterns.
Collaborated with development teams to streamline software releases, resulting in faster timetomarket.
Increased application scalability by migrating legacy systems to cloud-based platforms.
Designed and implemented containerization strategies using Docker and Kubernetes, improving resource utilization and management.
Mitigated security risks by conducting regular vulnerability assessments and applying necessary patches.
Established strong interdepartmental communication channels, fostering collaboration between development, operations, and QA teams.
Contributed to the creation of a DevOps culture within the organization, leading to increased agility and cross-functional collaboration.
Maintained version control systems like Git or SVN for seamless collaboration among developers and engineers during project lifecycles.
Monitored automated build and continuous software integration process to drive build/release failure resolution.
Worked with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability, and performance.
Analyzed work to generate logic for new systems, procedures and tests.
Tested troubleshooting methods and documented resolutions for inclusion in knowledge base for support team use.
Rapidly prototyped new data processing capabilities to confirm integration feasibility into existing systems.
Estimated work hours and tracked progress using Scrum methodology.
Provided technical guidance during product planning sessions, aligning business objectives with technological capabilities.
Collaborated with team to analyze system solutions based on client requirements.

Summary

Overview

Work History

Senior Data / Devops engineer

Education

Master of Science - Computer Science

Skills

Technical Strength

Timeline

Senior Data / Devops engineer

Master of Science - Computer Science

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