Rajkamal R

• Company Overview: Cloud-Based VDI Services.
• Developed and integrated power management features for DesktopReady, an enterprise solution leveraging Microsoft's Azure Virtual Desktop service, using Python, FastAPI, and Postgres, along with implementing new features and fixing bugs by writing scalable and maintainable code.

EUVantage: An enterprise monitoring tool.

• Designed and developed continuous auto-discovery monitoring for network devices (routers, switches, firewalls) using Python, Bash, Postgres, SNMP Manager, Net-SNMP, and subprocess.
• Developed solutions to monitor Windows and Linux-based operating systems via WMI queries, SNMP using Python, FastAPI, and C#.
• Implemented monitoring for Azure and VMware resources using the Azure API and Horizon API, respectively.
• Designed and developed data models and an ETL pipeline using Filebeat, Logstash, and Postgres to transform JSON logs to analyze collected metrics (e.g., disk usage, CPU, memory). This is for reducing querying and reporting time for stakeholders by approximately 40%.
• Served as a technical point of contact, collaborating with customers to determine and specify the parameters for monitoring network devices.
• Developed efficient communication systems using RabbitMQ APIs for publishing and receiving JSON data across services.

• Achieve air-gapped installation and security patching strategies by creating a RHEL local repository to securely deliver updates, patches, and custom packages using Bash scripting.
• Deployed the application on Linux OS using Git commands, Jenkins, Docker, and Kubernetes.
• Implemented log management and service monitoring solutions, providing end-to-end visibility across service health and system health.
• Hands-on experience with Git, Docker, and Kubernetes for container orchestration, managing deployments.

• Developed web scraping solutions for financial data using BeautifulSoup and Pandas, with a focus on BSE Sensex and NSE, to facilitate the extraction of critical market information.
• Engineered data extraction pipelines in Python to collect, clean, and analyze stock market data from BSE Sensex and NSE, supporting financial analysis and reporting.
• Successfully performed as a research analyst in the field of corporate actions, specifically focusing on CATS (Corporate Actions Tracking System).
• Monitored and tracked corporate actions, new bond listings, and market developments in the American and European regions, ensuring accurate and up-to-date information for informed decision-making.
• Collaborated with cross-functional teams to facilitate the seamless processing of corporate actions and provide comprehensive support.
• Served as a Trainer for New and Upcoming Batches (Basic Finance and Corporate Actions).