TINA KALBENDE

Senior DevOps Technical Lead

• Leading a team of 8 engineers, driving the adoption of DevOps best practices, fostering a culture of automation, collaboration, and continuous improvement.
• Designed and implemented end-to-end CI/CD pipelines, reducing manual intervention, accelerating delivery cycles, and improving deployment efficiency.
• Developed and automated Ansible playbooks for on-prem K3s cluster setup and application deployment, ensuring consistency and streamlined workflows.
• Optimized K3s clusters for improved performance, scalability, and resource efficiency, reducing operational costs and enhancing system reliability.
• Established comprehensive monitoring and observability solutions using Grafana, Loki, and Prometheus for Dockerized and K3s environments, enabling proactive issue detection.
• Integrated metrics API server and Kubernetes Dashboard via Ansible playbooks, providing real-time insights into cluster performance.
• Designed and implemented a Release Management pipeline, integrating Redmine (similar to JIRA) with GitLab for versioning, artifact storage (Nexus Artifactory), and deployment to on-prem K3s clusters.
• Created and maintained technical documentation, automation workflows, and reference handbooks, ensuring seamless knowledge transfer and customer enablement.
• Provided technical troubleshooting for GitHub Actions workflows and on-site support, minimizing downtime and ensuring optimal system performance.
• Conducted performance tuning and capacity planning for Kubernetes clusters, optimizing resource utilization and cost efficiency.
• Mentored and coached junior DevOps engineers, fostering skill development and knowledge sharing within the team.
• Continuously evaluated and integrated emerging DevOps tools and technologies, driving innovation and improvement within the DevOps toolchain.

DevOps Engineering & CI/CD Pipeline Optimization

• Led onboarding and migration of application teams' CI/CD pipelines to Spinnaker, ensuring seamless deployment and scalability reducing the deployment time by ~30 mins.
• Worked as part of the DevOps team, enhancing and optimizing AWS and EKS platforms based on assigned user stories.
• Gained hands-on experience in Terraform, expanding expertise in infrastructure automation.
• Designed and developed utility pipelines to support Kubernetes-based development activities, improving efficiency and automation.
• Onboarded Application Development teams onto DevOps pipelines, facilitating smooth integration and deployment.
• Troubleshot runtime issues for Data and Development teams, providing critical support to resolve blockers and maintain system stability.

Cloud Foundation Service (Jan 2021 – Present) Oracle Banking and Digital Experience – Research & Development (Oct 2019 – Present)

• Leading CI/CD pipeline implementation in GitLab for service, UI, and database deployments.
• Automated database script execution using Flyway, ensuring seamless DB deployments.
• Provisioned and managed Kubernetes-based deployment environments.
• Developed one-click service provisioning to streamline Tenant onboarding.
• Spearheading end-to-end CI/CD automation for OBDX product using Jenkins, WebLogic, and Python scripting, achieving 98% accuracy and reducing manual efforts by 3 hours per day.
• Configured logging and monitoring for Dockerized environments using the ELK stack, with Kibana dashboards for real-time insights.
• Setting up Jenkins on OCI with Kubernetes, including YAML-based service and deployment configurations.
• Actively involved in Periodic Patchset releases, ensuring system stability and continuous improvements.

Application Management on ELK Stack (May 2019 – Sept 2019) Datalake Creation Using Big Data Technologies (May 2018 – May 2019)

• Managed applications on the ELK Stack (Elasticsearch, Logstash, Kibana) for a UK-based client.
• Configured Kibana dashboards for real-time analytics and enhanced observability.
• Integrated Kafka brokers into the architecture to improve log processing efficiency.
• Served as a Jira & Confluence Administrator, handling requests via ServiceNow.
• Successfully implemented MetricBeat for enhanced application server monitoring.
• Developed a data pipeline for a Media & Entertainment client, processing multi-channel data using AWS services (EC2, EMR, S3).
• Worked on Snowflake for data ingestion, optimizing ETL processes.
• Developed Python & PySpark scripts for data ingestion and orchestrated workflows using Apache Airflow.
• Automated deployment pipelines for different environments using GitLab CI/CD and Ansible playbooks, ensuring seamless data processing and integration.

• Provided end-to-end server support for a distributed onshore-offshore environment, ensuring system stability and performance.
• Maintained server health and updates using DevOps monitoring tools such as Nagios, AppDynamics, and Kibana.
• Automated archival and cleanup tasks by developing shell scripts, improving operational efficiency.
• Led configuration management for Nagios and AppDynamics, optimizing monitoring and alerting systems.

• Worked with a healthcare organization leveraging big data analytics for population health management and healthcare insights.
• Contributed to disease management analytics, helping predict patient health trends and recommend preventive measures for hospitals.
• Implemented MapReduce-based solutions for population health management, health insurance analytics, and disease monitoring.
• Supported the transformation of raw healthcare data into actionable insights through a data intelligence platform.