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Kartikeya UserKU
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Kartikeya User

@kartikeyatiw

Cloud/DevOps Engineer using AWS, Terraform, and CI/CD to deliver reliable production systems. Creating AI workflows to streamline the processes

India
Message

What I'm looking for

I’m looking for a role where I can own AWS-based infrastructure and CI/CD, improve monitoring and incident response, automate deployments with Terraform/Docker/Kubernetes, and support reliable production workloads—including ML/data pipelines.

I’m a Cloud/DevOps Engineer with 2 years of experience supporting AWS-based infrastructure, cloud operations, CI/CD pipelines, and production systems in enterprise environments. I’m hands-on with Linux administration, deployment engineering, monitoring, and troubleshooting large-scale cloud workloads.

I’ve managed AWS production infrastructure and cloud-hosted ML/data processing environments, using AWS CloudWatch to monitor logs, metrics, and alerts and respond to incidents. I automate operational and validation tasks with Python and Bash (reducing repetitive effort by 35%) and build CI/CD pipelines with GitHub Actions to cut deployment time by 40%—while also running Kubernetes (EKS) and Kafka (AWS MSK) workloads for scalable, cloud-native applications.

Experience

Work history, roles, and key accomplishments

TS
Current

Cloud/DevOps Engineer

Tata Consultancy Services

Aug 2024 - Present (1 year 10 months)

Managed AWS-based production infrastructure and Linux-hosted cloud applications, including ML/data processing environments. Automated validation and operations with Python/Bash (35% less manual effort), built GitHub Actions CI/CD (40% faster deployments), and reduced average incident resolution time by 25%.

Education

Degrees, certifications, and relevant coursework

DI

Dayalbagh Educational Institute

Bachelor of Technology, Computer Science & Engineering

2020 - 2024

Completed a B.Tech in Computer Science & Engineering at Dayalbagh Educational Institute from 2020 to 2024.

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