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Anshul Pardeshi

@anshulpardeshi

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AWS-certified DevOps engineer specializing in cloud infrastructure, CI/CD, and monitoring.

India

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What I'm looking for

I am seeking a challenging cloud or infrastructure role where I can lead resilient, cost-aware platform improvements, own CI/CD and observability, and grow into broader cloud-architecture responsibilities.

I am an AWS-certified DevOps engineer with hands-on experience designing and maintaining scalable, resilient cloud systems across AWS, GCP, and DigitalOcean. I have owned end-to-end infrastructure, implemented CI/CD pipelines (Bitbucket Pipelines, Cloud Build), standardized database migrations with Prisma, and deployed containerized applications on Kubernetes.

I build observability stacks using Prometheus, Grafana, Loki/Promtail, and create role-based IAM policies enforcing least privilege. Recognized with multiple internal awards, I prioritize cost-aware operations, documentation, and reliable automation to streamline deployments and improve system reliability.

Experience

Work history, roles, and key accomplishments

DevOps Engineer

Cybic Tech Pvt Ltd

Jun 2025 - Mar 2026 (9 months)

Designed and maintained deployments for multiple microservices, built Bitbucket Pipelines for branch-based releases and repeatable rollouts, and implemented centralized Prisma schema strategy to standardize migrations across services.

Bitbucket Pipelines Prisma Prometheus Grafana AWS CI CD

Jr. DevOps Engineer

Neuro Spark Works Solutions

Aug 2023 - Feb 2025 (1 year 6 months)

Owned end-to-end infrastructure and deployments across AWS, GCP and DigitalOcean, implemented monitoring with Prometheus/Grafana/Promtail and migrated legacy apps to cloud platforms to improve performance and reliability.

AWS GCP DigitalOcean Prometheus Grafana Promtail Nginx Docker Kubernetes

Cloud Architect Intern

Intellipaat

Oct 2022 - Jun 2023 (8 months)

Completed in-depth training and hands-on projects in cloud computing and DevOps, applying AWS and DevOps principles to deploy and manage cloud-based applications.

AWS Azure DevOps Terraform Python Deploying CI CD