Naga Gangadhara Rao Chikkala

### Privileged Access Provisioning for Infrastructure Systems

**Project Description:**
- **Objective:** Provide privileged access provisioning for infrastructure systems using CyberArk, enhancing security and access management across multiple platforms including Windows, Oracle, Exacc, Unix, and GCP.
- **Technology Stack:** Java, Spring Boot, jQuery, Oracle Exacc, OpenShift Fabric, Jenkins, Geneos, Helm, Jira, Confluence, Bitbucket, Git, dbUnity.

**Roles and Responsibilities:**
- **Core Development:** Developed and implemented the privileged access provisioning system using Java and Spring Boot, ensuring robust and secure access management.
- **Front-end Development:** Utilized jQuery to create interactive and responsive user interfaces, enhancing the user experience.
- **Database Management:** Managed and optimized the Oracle Exacc database to handle access provisioning data efficiently.
- **Containerization and Orchestration:** Deployed applications using OpenShift Fabric, ensuring scalable and efficient deployment.
- **CI/CD Implementation:** Set up continuous integration and continuous deployment (CI/CD) pipelines using Jenkins, automating the build and deployment processes.
- **Monitoring and Maintenance:** Employed Geneos for application monitoring, ensuring system reliability and performance.
- **Tool Integration:** Integrated various tools including Helm for package management, Jira and Confluence for project management and documentation, Bitbucket and Git for version control, and dbUnity for database integration and management.

**Key Achievements:**
- Successfully implemented a secure and scalable privileged access provisioning system across multiple infrastructure platforms.
- Enhanced deployment efficiency and scalability using OpenShift Fabric and Jenkins CI/CD pipelines.
- Improved system monitoring and performance tracking with the integration of the Geneos tool.
- Facilitated effective project management and collaboration through the integration of Jira and Confluence.

• Estimated work hours and tracked progress using Scrum methodology.
• Tested troubleshooting methods and documented resolutions for inclusion in knowledge base for support team use.

• IDR – Intelligent document/data recognition in OCR solution for Trade Finance business which aims to intelligently extract data from documents submitted by clients and provide the extracted data to Processing, surveillance (Monitoring) and compliance systems there by supporting automation of trade processing workflow
• This application will reduce manual efforts from operations teams in creating/inputting transaction data by automatically extracting the data from scan images and mapping to the transaction for processing.

• Trade finance signifies financing for trade, and it concerns both domestic and international trade transactions
• A trade transaction requires a seller of goods and services as well as a buyer
• Deutsche bank is most popular bank to facilitate these transactions by financing the trade.

• HP has a multitude of Large Format printers (LFP) like GoldenGate, TajMahal, Redbaron and Troya12 Power
• These printers are designed for printing high-quality images on 24”, 44” and 60” wide depending on printer's width
• I worked on Embedded Web Server (EWS)
• The functionality of the EWS is useful to submit the job for printing and set the printer settings remotely through the browser
• It shows the user information about the printer status
• This first functionality goal is printer setup which helps the user to prepare the printer in a correct state so that images can be printed with the desired quality
• The second functionality facilitates the user to check the status and make necessary changes.