Kopal Chakravarty

Product Engineer

Los Angeles, California, United States3 yrs experience

Key Highlights

Expert in Cloud and DevOps with hands-on experience.
Proven track record in automating cloud architectures.
Strong background in Kubernetes and CI/CD practices.

Stackforce AI infers this person is a Cloud and DevOps specialist with a focus on scalable infrastructure solutions.

Contact

Skills

Core Skills

Cloud ComputingDevopsSecurity EngineeringData Analytics

Other Skills

AWSAlgorithmsArgoCDBashC++CI/CDCompilersData MiningDockerGitGitHub ActionsGoogle CloudGrafanaHelmKubernetes

About

I’m passionate about Cloud, DevOps, and Distributed Systems, building architectures that are reliable, scalable, and easy to maintain. I’ve worked with CI/CD, Kubernetes, and cloud deployments on AWS and Google Cloud to create efficient, high-performance infrastructure. Let’s connect to chat about DevOps, cloud computing, and scalable systems. Happy to share ideas and experiences!

Experience

Hashedin by deloitte

2 roles

DevOps Engineer II

Promoted

May 2023 – Jul 2024 · 1 yr 2 mos · Bengaluru, Karnataka, India

Worked with the Deloitte Engineering Team to automate provisioning of standardized cloud architectures on Google Cloud and AWS using Terraform and CI/CD
Developed pipelines to orchestrate Kubernetes deployments with Helm and ArgoCD, reducing deployment failures by 25%
Streamlined Kubernetes deployment operations, leveraging Jinja templates, GitHub Actions, Terraform, and GitOps, resulting in a 50% increase in release frequency
Implemented logging and monitoring solutions using Prometheus, Grafana, and Loki, improving issue detection rate by 30%

TerraformCI/CDKubernetesGoogle CloudAWSCloud Computing+1

DevOps Engineer I

Oct 2021 – May 2023 · 1 yr 7 mos · Bengaluru, Karnataka, India

Safe security

2 roles

Customer Success Engineer

Promoted

Jul 2021 – Oct 2021 · 3 mos · Delhi, India

Implemented automated vulnerability remediation scripts using Bash for Linux and Windows servers based on CIS benchmarks, achieving a 90% reduction in vulnerabilities
Optimized SQL queries for Security Intelligence Reports, cutting data processing time and allowing the team to make faster, revenue-impacting decisions.
Conducted root cause analyses and leveraged data analytics to reduce the frequency and duration of application outages by 80%

BashSQLData AnalyticsSecurity Engineering

Technical Support Analyst

Jan 2021 – Jul 2021 · 6 mos · Delhi, India

Rialtic

Application Engineer

Jun 2020 – Apr 2021 · 10 mos · Atlanta Metropolitan Area(Remote)

Developed Python-based automation to calculate readability indices, streamlining document sorting processes
Enhanced Machine learning model accuracy from 70% to over 90% through efficient text pre-processing using Python and Java
Designed serverless solutions for document processing, leveraging AWS Lambda and Fargate