Kotesh Muthyala
Development
Telangana, India
Skills
Python
About
The candidate's skills align with Programmers (Information and Communication Technology). The candidate also has skills associated with Consultants and Specialists (Information and Communication Technology). The candidate has 5 years of work experience.
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Work Experience
Software Engineer II
Circles.Life Singapore
September 2022 - Present
- Singapore Led dynamic cross-functional collaboration for seamless Single-click Infra Provisioning implementation, achieving a 75% reduction in deployment time and enabling rapid scalability Revitalized Infrastructure as Code (IAC) through Pulumi, enabling one-click automation and accelerating deployment by 20%. Boosted reliability by 15% by deploying customized Python modules on Google Cloud Developed automated workflows using CrewAI for merge request reviews and approvals. Engineered scalable pipelines to address Missed Merges, handling up to 3 and 10 feature branch deletions per project Contributed to formal internal design reviews for proposed products and Quality Gates, actively engaging in the enhancement of Package promotion capabilities and Infrastructure as Code (IaC) components Introduced Python and Ansible-based Configuration as Code (CaaC) to automate database, middleware, and observability stack initialization, reducing errors by 25% and bolstering system stability Activated GitLab's Smart Pipeline feature, utilizing GitLab API to automate Quality Gates thresholds. This implementation boosted development efficiency, slashed quality-related issue resolution time by 25%, and achieved a 15% acceleration in decision-making through real-time reporting Automated code base promotions and application configuration, slashing deployment time by 30% through the elimination of manual interventions in the promotion process Revolutionized Apigateway Kong rule file management through automation, empowering developers with left-shifted configuration responsibilities. This initiative resulted in a 40% reduction in update and deployment times and a 25% decrease in Apigateway configuration turnaround time Collaborated within the team to define, design, and implement DORA metrics, the pivotal benchmarks for gauging the development team's performance within the organization Led the implementation of Liquibase for automated database deployment, streamlining the process and enabling developers to seamlessly manage deployments within their workflow. Delivered a 40% reduction in deployment errors, ensuring heightened consistency and reliability in database changes
Python Automation Engineer
Cloud4c Services Private Limited
July 2019 - September 2022
- Generated FLASK-based REST APIs to retrieve live alerts data from the Zabbix monitoring system. Automated alert ticket creation by leveraging ticketing tool APIs and implementing an algorithm for accurate SOP attachment, assigning alert tickets to respective COE team bins. This Python-based solution resulted in saving over 1000 man-hours and achieving an 80% SOP attachment rate Implemented Python scripts to automate daily operations and generate reports for Oracle and MSSQL, leading to a 50% reduction in man-hours and significantly enhancing operational efficiency Utilized Pandas and Numpy to actively collect data from MySQL database and APIs, automating the generation of client health reports on a monthly, weekly, daily, and hourly basis Automated Infra COE tasks, including snapshot capture and VM details retrieval, as well as Windows AD operations like user creation, local user management, and password changes. Developed daily-executed scripts, leading to a 40% boost in productivity Engineered a template-based system to actively automate operational tasks conducted by COE owners, encompassing Linux operations, VMWare infrastructure tasks, and database operations for Oracle, MS SQL, and MySQL. Realized a 60% reduction in time for task execution
Education
