Dinesh Varal
Application Support Engineer with hands-on experience in managing and supporting enterprise applications across DEV, QA, UAT, and PROD environments. Skilled in incident management, production support, and troubleshooting complex system issues to ensure high availability and performance. Experienced in monitoring system health, resolving critical production incidents, and supporting integrations across distributed systems. Strong background in log analysis, root cause identification, and coordinating with cross-functional teams to maintain system stability. Currently focused on enhancing skills in Python, automation, and AI-driven solutions to build scalable tools, optimize workflows, and reduce manual effort. Passionate about improving system reliability, automating operations, and delivering efficient support solutions in fast-paced environments.
- Provided technical and customer support via phone, email, and ticketing systems
- Assisted users with account access, system issues, and basic troubleshooting
- Logged and tracked issues using ticketing tools, ensuring timely resolution within SLA
- Monitored system dashboards and escalated critical issues to technical teams
- Coordinated with internal teams to resolve user-reported problems efficiently
- Maintained high customer satisfaction through clear communication and quick resolution
- Provided production support for enterprise applications across multiple environments (DEV, QA, UAT, PROD)
- Monitored system performance and handled critical incidents & outages
- Performed root cause analysis (RCA) and implemented fixes to prevent recurring issues
- Supported application integrations and data flow troubleshooting
- Automated routine operational tasks to improve efficiency
- Collaborated with cross-functional teams for faster issue resolution
Text Utility Web App Created Using React Js. Implemented My Learning of Props and Use states in this project. This app has the functionality to manipulate text to Uppercase and lowercase. We can remove extra spaces from the our text. It is fully responsive and have dark mode feature.
It is News web Application built using React Js. Also used are react class-based components, routers, props, and states. This project used New Api to fetch news content.
Weather Forcast Web App developed using HTML, Bootstrap, and Javascript. Weather data fetched from Yahoo! weather API. It shows Current Weather information and Weather Forecast for the next 7 days.