lokesh kumar gaddala

• Monitored operational processes to identify areas for improvement, enhancing overall quality assurance. • Reported observations and provided actionable feedback to management for process optimization. • Ensured compliance with company policies and standards during daily operations at Voi Technology.

Built and maintained operational dashboards in Google Sheets tracking KPIs and fleet milestones across Berlin — monitoring for anomalies and making sure the data was always clean and decision-ready before it reached leadership. Prepared weekly executive reports covering delivery risks, cross-workstream dependencies, and recommended actions — the goal was never just to report numbers but to give senior management a clear picture of what needed to happen next. Owned data quality across reporting pipelines end

• Developed Python automation pipelines to collect and process real-time operational telemetry data at scale. • Built monitoring dashboards integrating KPI tracking with automated alerting workflows, reducing latency. • Designed automated reporting pipelines to isolate anomalies in fleet and infrastructure telemetry.

I successfully designed and managed cloud infrastructure, focusing on automation and scalability. • Implemented GitLab CI and ArgoCD to automate GitOps deployments, reducing provisioning time by 70%. • Developed end-to-end CI/CD pipelines in Azure DevOps, integrating security scanning tools like SonarQube and Trivy. • Built an observability platform using Prometheus and Grafana, enhancing monitoring capabilities and operational efficiency.

In my role at Tech Mahindra, I focused on optimizing cloud solutions and enhancing deployment processes. I developed CI/CD pipelines for AWS applications, maintained Docker environments, and authored Ansible Playbooks to streamline operations. My efforts in establishing AWS Infrastructure as a Service (IaaS) significantly improved client-specific cloud setups, showcasing my ability to deliver tailored solutions.

Dissertation: Optimizing Multi-Cloud Environments Through DevOps: A Framework for SMEs Conducted a quantitative study (n=100 IT & cloud practitioners) examining the impact of DevOps practices on performance, scalability, and cost efficiency in multi-cloud environments. Applied descriptive statisti

Developed a strong foundation in microeconomics, macroeconomics, and quantitative analysis. Gained skills in data interpretation, statistical modeling, and economic research. Completed projects and assignments focused on market analysis, financial trends, and policy evaluation. Enhanced analytic