Yashasvi
DevOps Engineer - I
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About
Architected and implemented a secure, centralized database query system with a user-friendly interface, reducing query execution and operational time by 85%, while enabling GitHub-based version control for query tracking and auditing for security and compliance. Designed and maintained Helm charts for 13+ production microservices, enabling consistent and scalable deployments across Kubernetes environments. Built a YAML-driven setup workflow that automates prerequisite validation and provisions the full CI/CD stack based on user-defined configuration, reducing Devtron installation failures and cutting average customer onboarding turnaround time by 40%.
Experience
DevOps Engineer - I at Devtron Inc. (2024-08 – Present)
- Architected and implemented a secure, centralized database query system with a user-friendly interface, reducing query execution and operational time by 85%, while enabling GitHub-based version control for query tracking and auditing for security and compliance.
- Designed and maintained Helm charts for 13+ production microservices, enabling consistent and scalable deployments across Kubernetes environments.
- Built a YAML-driven setup workflow that automates prerequisite validation and provisions the full CI/CD stack based on user-defined configuration, reducing Devtron installation failures and cutting average customer onboarding turnaround time by 40%.
- Built a unified observability platform integrating OpenTelemetry, Jaeger, Grafana, VictoriaMetrics, VMLogs, Alloy, and Pyroscope by reducing MTTR by 35% and providing end-to-end visibility across traces, metrics, and logs in production.
- Reduced Kubernetes compute costs by 40% by implementing Karpenter and KEDA for event-driven and node-level autoscaling, improving provisioning speed and rightsizing resource allocation across production workloads.
- Maintained 99.9% uptime across 30+ production Kubernetes clusters by establishing SRE practices including structured incident runbooks, tiered alerting thresholds, and post-mortem driven reliability improvements.
- Built a GitHub Actions pipeline to auto-trigger on common-lib releases, propagating Go module updates via pull requests across 15 microservice repositories and routing failure diagnostics to Discord, eliminating 80% of per-release operational overhead.
- Reduced AWS NAT Gateway costs to zero by implementing a cluster-wide forward proxy solution for private subnet EKS workloads.
DevOps Intern at Devtron Inc. (2024-01 – 2024-07)
- Built a Python CronJob integrating AWS S3, Azure, and GCP BigQuery to automate multi-cloud cost tracking and reporting, delivering automated spend summaries via email and improving cloud resource visibility across engineering teams.
- Designed an automated issue severity classification system using a custom prioritization formula, reducing manual triage overhead by 50% and cutting P0 operational response time by 85%.
- Implemented Prometheus-based alerting and Grafana dashboards for NATS metrics analysis, providing deep visibility into consumer lag and pending message streams, accelerating issue detection, and improving message processing performance and overall system reliability.
Education
Btech. in Computer Science and Engineering – Mody university of Science and Technology, Sikar, Rajasthan (2024-05)


