Sahil P.

DevOps Engineer | Software Developer Turned Infrastructure Optimizer My journey into the DevOps world started as a Software Developer, where I built interactive dashboards and web apps using Vue.js, Flask, TailwindCSS, and Apache Echarts. Early in my career, I was entrusted with building client-facing tools and data visualizations that enhanced real-time decision-making. Curious about data at scale, I transitioned into a Data Engineering role where I was trained to manage ETL pipelines, optimize queries, and work with databases like PostgreSQL and platforms like Informatica. Eventually, I found my true calling as a DevOps Engineer, where I could combine my backend, data, and automation skills to deliver scalable, cloud-native solutions. At Ciena, I: • Automated Kubernetes deployments across AWS, Azure, and GCP, reducing deployment time by 40% • Used Packer to preconfigure AMIs, leading to a 100% improvement in VM setup speed • Deployed Lambda-based Python scripts and Jenkins pipelines to eliminate redundant cloud resources, resulting in ~$1M in annual cost savings Along the way, I built tools like an in-house Release Orchestrator and contributed to AIOps pipelines, integrating Slack, YAML manifests, and health checks to simplify complex release workflows. --- Key Tech Skills • Languages: Python, Java, JavaScript, SQL, Shell Scripting • Frameworks/Tools: Vue.js, Flask, Docker, Terraform, Jenkins, GitLab CI/CD, Packer • Cloud: AWS, Azure, GCP • DevOps: Kubernetes, Ansible, Jenkins, CI/CD, Monitoring, Slack integration --- What Drives Me I'm passionate about building reliable, efficient systems that let engineers ship faster and smarter. My unique mix of frontend, data, and infrastructure experience gives me an edge in understanding full product pipelines — from UI to cloud to deployment. I thrive on optimizing processes, breaking silos, and delivering automation that makes a real impact.