Bharat Ameria

DevOps Engineer

View My Work

About Me

Bharat Ameria

I'm a passionate DevOps engineer with over 1+ years of experience in cloud infrastructure, CI/CD automation, and MLOps. I specialize in building robust, scalable systems on AWS and GCP, with expertise in containerization, infrastructure as code, and monitoring solutions.


When I'm not orchestrating deployments or optimizing cloud architectures, you can find me automating workflows with Terraform and Jenkins, exploring new MLOps tools like ZenML and MLflow, or sharing DevOps insights through technical blogs and community discussions on Discord and Hashnode.

📄 Download My Resume

Get a detailed overview of my professional experience, technical skills, and achievements in DevOps and cloud engineering.

📥 Download Resume

Skills & Expertise

☁️ Cloud Platforms

Designing and deploying scalable cloud infrastructure with industry-leading platforms and best practices.

AWS Google Cloud Docker Kubernetes

🔄 CI/CD & Automation

Building robust continuous integration and deployment pipelines with automated testing and monitoring.

Jenkins GitHub Actions ArgoCD Terraform

🤖 MLOps & Data

Streamlining machine learning workflows with automated pipelines, monitoring, and data orchestration.

MLflow Apache Airflow ZenML ELK Stack

Featured Projects

CI/CD Pipeline

GitOps using ArgoCD

Implemented GitOps using ArgoCD for automated deployment of microservices applications. Using ArgoCD to deploy the application to the Kubernetes cluster.

💻 View Project Code
MLOps Platform

MLOps Platform with ZenML

Developed an end-to-end MLOps platform using ZenML, MLflow, and Apache Airflow for automated model training and deployment.

💻 View Project Code
Infrastructure as Code

Deplying application on AWS Serverless

Deployed the application on AWS Serverless using AWS Lambda and API Gateway. for scalable, maintainable cloud architecture.

💻 View Project Code
Monitoring Stack

Complete Monitoring using ELK Stack

Implemented comprehensive monitoring solution using ELK Stack for application and infrastructure monitoring.

💻 View Project Code
Monitoring Stack

Implemented ETL pipelines using Airflow

Designed and implemented scalable ETL pipelines using Apache Airflow to automate data extraction from multiple sources, transform data according to business requirements, and load processed data into AWS S3. Configured workflow scheduling, monitoring, and error handling to ensure reliable data processing with proper logging and alerting mechanisms.

💻 View Project Code
Monitoring Stack

Azure Sever Based Flask App deployment

Deployed a scalable Flask web application on Azure Virtual Machines with automated CI/CD pipelines using Azure DevOps. Configured load balancing with Azure Application Gateway, implemented SSL certificates, and set up automated backup strategies. Utilized Azure Database for PostgreSQL for data persistence, integrated Azure Key Vault for secure credential management, and implemented comprehensive logging and monitoring for production-ready application hosting with zero-downtime deployment capabilities.

💻 View Project Code

Get In Touch

I'm always interested in hearing about new opportunities and exciting projects. Let's connect and collaborate!

Email LinkedIn GitHub Twitter Hashnode