Open to opportunities

Payam Thrishank

@payamthrishank

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DevOps-focused engineer with hands-on Cloud & NOC experience delivering reliable, scalable infrastructure operations.

India

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What I'm looking for

I’m looking for opportunities in Cloud Operations, DevOps Engineering, and Infrastructure Support—where I can apply network monitoring, incident response, and automation to deliver reliable, scalable infrastructure operations.

I’m a Cloud & DevOps-oriented engineer and network operator with hands-on experience supporting critical government infrastructure at ECIL (Department of Atomic Energy). I’ve worked across network monitoring, incident response, Linux administration, and troubleshooting to keep services dependable.

At ECIL, I monitored and maintained network operations for 15+ critical systems, reduced average incident response time through systematic troubleshooting protocols, and maintained 99%+ uptime via proactive monitoring and rapid issue resolution. I also documented 50+ incidents with detailed root cause analysis steps to strengthen team knowledge and reduce repeat failures.

I also build automation and cloud-ready projects using AWS, Docker, Kubernetes, GitHub Actions, Terraform basics, and Python—focused on reliable and scalable infrastructure operations. Earlier, as a Data Analyst Intern, I created Python dashboards and used Pandas for data cleaning to support operational decision-making.

Experience

Work history, roles, and key accomplishments

Network Operator

Electronics Corporation of India Limited (ECIL), Department of Atomic

May 2025 - Jul 2025 (2 months)

Worked as a Network Operator at Electronics Corporation of India Limited (ECIL), Department of Atomic Energy, Government of India, Hyderabad in the (ITSD & ERP Division) — deployed under an Employment tenure with The Xpert Facility Services, Hyderabad. In my role, I have monitored and maintained critical government network infrastructure, ensuring 24/7 uptime for mission-critical systems supporti

Data Analyst Intern

Intervie Tech

Feb 2024 - Mar 2024 (1 month)

Developed data visualization dashboards and reports using Python to support monitoring of key operational metrics. Cleaned and processed datasets with Pandas to improve data quality and generated data-driven insights for workforce planning and decision-making.

Python Pandas Data Visualization Data Cleaning Reporting Data Insights Data Driven Decision Making Analytical Skills Data Processing Problem Solving Data Modeling Data Analysis

Industrial Trainee

Uppal Industries Association

Nov 2019 - Mar 2020 (4 months)

Completed industrial training in the final semester of Diploma in Electronics and Communication Engineering, focusing on embedded systems, image processing, and machine learning-based automation in an industry-oriented environment.

Successfully completed training focused on Image Processing and Machine Learning-driven Home Automation Systems, integrating software intelligence with embedded hardwa