I use Jenkins to automate the building, testing, and deployment of software.I use Bash script to automate tasks in the CI/CD pipeline, such as building and testing software, deploying software to production, and scaling applications. I use troubleshooting to identify and resolve problems in the CI/CD pipeline and applications. This helps me to ensure that the software development and delivery process runs smoothly and that applications are always available and performing well. Monitored environments: Utilized automated alerting and executed daily health checks, troubleshooting application and environment issues.Implemented automation scripts: Configured and implemented automation scripts into Geneos, enhancing alerting processes for efficient incident response.Data refresh activities: Executed data refresh activities from the production environment to lower environments.Collaborated with QA teams: Worked closely with QA teams to facilitate successful testing and deployment.Implemented cutting-edge proactive monitoring solutions to swiftly detect and rectify system issues, resulting in a 42% decrease in critical downtime incidents and a 25% increase in overall system uptime.Environment configuration and changes: Handled requests related to changes in test environments, including configuration, code deployment, and service upgrades. Linux troubleshooting: Utilized Linux commands to troubleshoot disk issues, manage file permissions, and create files/directories for test users, maintaining a stable environment minimizing downtime and ensuring optimal system performance. Reduced critical incidents by 40%.Automation script development: Developed and maintained automation scripts to streamline repetitive tasks.Communication facilitation: Facilitated effective communication between different teams to streamline processes. Gaia tool utilization: Utilized Gaia tool to manage trade queue depth by adjusting instance counts manually and purging critical trade queue depths.

• Listened to audio recordings related to a major technology client’s projects, identifying and correcting errors to ensure accuracy and clarity.• Utilized specialized audio editing and correction tools to enhance the quality of audio files, ensuring they met the client’s standards and requirements.• Conducted thorough quality checks on corrected audio files to ensure they were free of errors and met high-quality standards.• Annotated and labelled audio data accurately for further analysis and machine learning model training purposes.• Worked collaboratively with cross-functional teams, including data scientists and engineers, to understand project requirements and deliver high-quality audio data.• Identified opportunities to improve the audio correction process, implementing enhancements that increased efficiency and accuracy.• Continuously developed proficiency in audio editing tools and techniques through on-the-job learning and additional training initiatives