• Primarily responsible for identifying and resolving Common Vulnerabilities and Exposures (CVEs) within the software. This involved analyzing code, debugging issues, and implementing fixes to ensure the security and stability of the application.• I played a significant role in performing version uplifts, which involved upgrading the software to newer releases.• Actively participated in code deployment activities, ensuring that changes were successfully implemented and functioning as expected.• Contributed to a migration project where we transitioned the software infrastructure from DC/OS (Datacenter Operating System) toKubernetes containers. This involved adapting the application to work efficiently within the Kubernetes environment and resolving any compatibility issues.• Participated in biweekly support rotations, which involved monitoring the software performance and addressing any service level agreement (SLA) warnings.• Experience in presenting weekly technical operational review to analyze the performance of the software for the team.• Actively participated in code reviews and conducted operational Reviews• Technology Stack: Java, J2EE, Spring MVC, Apache Maven, JUnit, Kubernetes, AWS, S3, APIs, REST Web Services, Ruby, RSpec, GitHub, MySQL, Relational Database Design, PL/SQL, Non-Relational Database Design, Linux, New Relic, Splunk, CI/CD, Spinnaker, Jenkins, Twistlock, Jira, JSON, YAML, XML, Kanban, Operational Risk Management, Public Key Infrastructure (PKI), oAuth 2, Scrum, Agile, Unit Testing, Code Review, performance testing, Hadoop, HUE, MapReduce, CVE Remediation, SLA.

• Orchestrated data onboarding to the database using Python and ETL technologies.• Automated monitoring rules and server API updates using Python and Bash.• Developed and maintained Django applications for various PeriShip systems.• Automated an alert system for server activities, improving response times.• Key player in packaging and deploying applications using Docker.• Experience with event driven architecture and data pipelines using Kafka and RabbitMQ• Mentored a new teammate with the Data ETL procedure.• Technology stack: Python, Django Rest Framework, MySQL, REST API, ETL, Bash, Unit Testing, Debugging, Technical Documentation, Kafka, Agile, Jira, Scrum, SDLC, Kanban, RabbitMQ, GitLab, Windows/Linux, PowerShell, PuTTY

• Created data generation tool plugin, improving the testing process using C# in MS visual Studio• Conducted comprehensive website testing using open-source test automation frameworks and manual debugging.• Authored detailed product documentation for multiple modules.• Technology stack: C#, .NET Core, Unit Testing, Microsoft Azure, SQL, MySQL, Debugging, Technical Documentation, MS Visual Studio, GitHub, SDLC

* Developed the backend application to add Logistics data to the tracking system visible to the users by writing scripts in django. * Led development of python script running a query to upload entire Magento and Logistics data to Zoho. * Integrated APIs to process and manipulate data as required * Familiarity with PHP and Magento-2.0 E-commerce Framework * Solid knowledge of JSON, GIT (Gitlab) and Linux * Automated report generation for Business Analytics Tools. * Familiarity with Nginx HTTP server and tools like Postman and Zoho Analytics Tool.* This work led to a better User Experience with the tracking of shipments

* Developed Job Diagnostics for the "User Policy Evaluation" project within the Oracle Identity Manager Job Scheduler using Java.* Applied technical troubleshooting skills to effectively dissect and resolve basic technical issues, ensuring project stability using Java and Maven.* Utilized Git for streamlined version control, collaboration, and effcient code management.* Leveraged Jira for project management, task tracking, and issue resolution. * Technology stack: Java, Maven, GitHub, Jira.

* Gained proficiency in Python and Django framework through continuous learning and practical application.* Embraced system processes, methodologies, and techniques to craft secure and stable code and systems.* Harnessed the power of SQL to analyze large datasets and create dashboards. Utilized GitHub and Jira to streamline software development workflows. * Technology stack: Python, Django framework, SQL, Git, Jira.