Cloud & DevOps Engineer

Building scalable infrastructure and automating deployment pipelines for modern applications.

About Me

I'm a passionate DevOps and Cloud Engineer with expertise in building and maintaining scalable infrastructure.

My Journey

With over 5 years of experience in the tech industry, I've specialized in cloud infrastructure, CI/CD pipelines, and automation. My background in software development gives me a unique perspective on DevOps practices and how they integrate with the development lifecycle.

My Approach

I believe in infrastructure as code, continuous improvement, and building systems that are scalable, reliable, and secure. My goal is to bridge the gap between development and operations, creating efficient workflows that enable teams to deliver value faster.

Career Goals

I'm passionate about cloud-native technologies and aim to continue growing as a DevOps architect. I'm particularly interested in Kubernetes, serverless architectures, and advancing DevSecOps practices.

Technical Skills

My expertise spans across various cloud platforms, automation tools, and programming languages.

Cloud Platforms

AWS

Azure

Google Cloud

DigitalOcean

Heroku

Infrastructure

Kubernetes

Docker

Terraform

Ansible

Pulumi

CI/CD

Jenkins

GitHub Actions

GitLab CI

CircleCI

ArgoCD

Programming

Python

JavaScript

Bash

TypeScript

Databases

PostgreSQL

MongoDB

Redis

DynamoDB

Elasticsearch

Monitoring

Prometheus

Grafana

ELK Stack

Datadog

New Relic

Featured Projects

A showcase of my recent work in cloud infrastructure and DevOps automation.

Kubernetes Cluster Automation

Automated deployment and scaling of Kubernetes clusters across multiple cloud providers

Developed a comprehensive solution for automating the provisioning, configuration, and management of Kubernetes clusters. The system supports multi-cloud deployments and includes monitoring, logging, and disaster recovery capabilities.

Terraform

Kubernetes

ArgoCD

Code Demo

CI/CD Pipeline Framework

Standardized CI/CD pipeline framework for microservices architecture

Created a reusable CI/CD pipeline framework that standardizes the build, test, and deployment process across multiple microservices. Includes security scanning, automated testing, and canary deployments.

GitHub Actions

Docker

Python

AWS

Code Demo

Cloud Cost Optimization Tool

Automated cloud resource management and cost optimization

Developed a tool that analyzes cloud resource usage and automatically optimizes costs by rightsizing instances, scheduling resources, and identifying unused assets. Resulted in 30% cost reduction.

Python

AWS

Terraform

React

Code Demo

Infrastructure Monitoring Dashboard

Comprehensive monitoring and alerting system for cloud infrastructure

Built a custom monitoring dashboard that aggregates metrics from multiple sources and provides real-time insights into system performance, with intelligent alerting and automated remediation.

Prometheus

Grafana

Kubernetes

Code Demo

Serverless ETL Pipeline

Scalable data processing pipeline using serverless architecture

Designed and implemented a serverless ETL pipeline that processes large volumes of data in real-time. The solution uses event-driven architecture and scales automatically based on workload.

AWS Lambda

DynamoDB

Python

Kinesis

Code Demo

Security Compliance Automation

Automated security scanning and compliance reporting

Developed a system that automatically scans infrastructure for security vulnerabilities and compliance issues, generates reports, and remediates common problems without manual intervention.

Terraform

Python

AWS

Docker

Code Demo