Dec 2022 – Present · 3 yrs 5 mos

• ✔ Accelerated Product Delivery: Reduced product go-to-market time by implementing DevOps practices, automation, and IaC using Terraform and Ansible.
• ✔ Infrastructure Automation: Automated provisioning and management of cloud environments with Terraform and Ansible, reducing setup time by 90%.
• ✔ Optimized CI/CD Pipelines: Built and maintained robust CI/CD pipelines using Jenkins and GitHub Actions, reducing deployment time by 30%.
• ✔ Improved Deployment Processes: Enabled blue-green and canary deployments, minimizing downtime and enhancing deployment reliability.
• ✔ Cross-Team Collaboration: Fostered a DevOps culture through workshops, training, and integration of automation tools across development, QA, and operations teams.
• ✔ Compliance Integration: Automated security and compliance checks in CI/CD pipelines, aligning deployments with FedRAMP and Zero Trust standards.
• ✔ Increased Delivery Frequency: Boosted deployment frequency by 2x, enabling faster feature rollouts and competitive agility.
• ✔ Incident Resolution: Reduced MTTR by 25% with automated monitoring, self-healing scripts, and integrated alerting systems.

Jul 2021 – Dec 2022 · 1 yr 5 mos

• ✔ Cloud Automation: Designed AWS CloudFormation templates for EAA client deployment, automated using Python scripts for efficiency and consistency.
• ✔ Azure ARM & GCP Deployment: Automated Azure ARM deployments for EAA clients and GCP deployments for EAA agents, integrating Python for seamless orchestration.
• ✔ Python-Driven Automation: Developed end-to-end Python scripts to manage multi-cloud deployments, monitor services, and standardize processes across AWS, Azure, and GCP.
• ✔ Cross-Platform Testing: Automated client libraries using Appium, Python, and PyTest, integrated into CI/CD pipelines for continuous validation.
• ✔ Distributed Systems: Automated workflows for processing billions of records daily using Kubernetes and Python in distributed environments.
• ✔ Big Data Automation: Built frameworks for Kafka-based real-time data ingestion and Prometheus-driven monitoring for distributed systems.
• ✔ CI/CD Optimization: Developed CI/CD pipelines with Jenkins and GitHub Actions, automating containerized deployments in Kubernetes.
• ✔ Monitoring and Logging: Integrated Prometheus and ELK stack for observability, ensuring proactive issue detection and resolution.

Jul 2017 – Jul 2021 · 4 yrs

• ✔ CI/CD Pipeline Design: Developed end-to-end CI/CD pipelines with Jenkins, GitHub Actions, and GitLab CI, integrating automated testing, deployment, and monitoring to streamline delivery cycles.
• ✔ Monitoring and Alerting: Integrated Prometheus, Grafana, and ELK stack for real-time monitoring and logging, automating alerting mechanisms to improve system reliability and reduce incident resolution times.
• ✔ Big Data Workflow Automation: Automated data pipelines using Hive, Cassandra, and Hadoop, optimizing data ingestion and processing for analytics platforms handling billions of records daily.
• ✔ Data Analytics Framework: Designed a data analytics framework with Pandas and NumPy, enabling automated data validation, transformation, and insights generation across distributed systems.
• ✔ Beacon Log Validation Framework: Created a Python-based PyTest framework to validate client-side beacon logs, integrated with Kafka for real-time log streaming and analytics.
• ✔ TestOps Framework Development: Designed and implemented an end-to-end CI/CD pipeline for TestOps workflows, ensuring seamless integration of automated testing, test result aggregation, and environment provisioning.
• ✔ Cross-Platform Testing Automation: Worked on automating client-end libraries using Appium, Python, and Katalon Studio, integrated with CI/CD pipelines for continuous validation and faster feedback loops.
• ✔ Distributed Systems Automation: Developed Python and Unix-based automation frameworks for distributed systems, managing deployments with Ansible and monitoring with Prometheus.