AWS Certified Cloud Practitioner

Yadnyesh Chaudhari

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Results-driven Cloud & DevOps Engineer designing and automating AWS infrastructure, building serverless systems, and shipping CI/CD pipelines that eliminate manual deployment effort while improving reliability, scalability, and operational efficiency.

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Pune, Maharashtra, India • yadnyeshchaudhari875@gmail.com • LinkedIn • GitHub

About

Building infrastructure people can rely on

I'm a Cloud & DevOps Engineer based in Pune, focused on AWS core services, automation, and serverless architecture. My work spans EC2, S3, Lambda, IAM, VPC, RDS, API Gateway and DynamoDB — with Python and GitHub Actions tying the pipeline together.

I care about removing manual steps from deployment, keeping infrastructure secure by default, and writing systems that are easy for the next engineer to reason about. Currently interning as an AWS Cloud Engineer, automating cost controls and CI/CD for production workloads.

Education

B.E., Computer Engineering

RMD Sinhgad School of Engineering
Savitribai Phule Pune University

June 2020 — July 2024

Focus Areas

  • Cloud Engineering
  • DevOps & CI/CD
  • Serverless Architecture
  • Infrastructure Security

Based in

Pune, Maharashtra, India

Open to remote & on-site cloud engineering roles

Experience

Where I've been building

AWS Cloud Engineer Intern

March 2026 — Present

Novacred Docboyz

  • Automated EC2 instance start/stop scheduling using AWS Lambda (Boto3), reducing non-production compute costs.
  • Designed and implemented CI/CD pipelines using GitHub Actions, replacing manual deployment steps with fully automated build, test, and deploy workflows.
  • Managed EBS volume provisioning, resizing, and snapshot lifecycle via AWS Data Lifecycle Manager (DLM), improving storage reliability and disaster-recovery posture.
  • Monitored MySQL performance and resolved disk usage bottlenecks on EC2-hosted servers, maintaining consistent database uptime.
  • Configured IAM policies enforcing least-privilege access, strengthening the cloud security baseline.
  • Deployed and managed web applications on Amazon EC2 using Apache, Nginx, PM2, and Docker, ensuring reliable production deployments.
  • Configured Application Load Balancer (ALB), Route 53 DNS, and SSL certificates to securely expose applications over HTTPS.
  • Created and managed Amazon S3 buckets for application assets, backups, and static website hosting with secure access policies.
  • Implemented CloudWatch monitoring, alarms, and log analysis to proactively identify infrastructure and application issues.
  • Automated routine Linux administration tasks using Bash scripting, reducing manual operational effort and improving server maintenance.
  • Worked with Docker and Docker Compose to containerize applications and simplify deployment across development and production environments.
  • Collaborated with development teams to troubleshoot deployment issues, optimize application performance, and maintain high service availability.

Cloud Engineer

October 2024 — August 2025

Sheflying Tech

  • Provisioned and configured Amazon EC2 instances within a custom VPC (subnets, route tables, security groups), delivering secure and scalable compute environments.
  • Built event-driven AWS Lambda functions integrated with DynamoDB to automate routine data-processing tasks, reducing manual effort.
  • Implemented daily automated backup routines and administered Linux servers (user management, shell scripting, troubleshooting) to strengthen data protection and system uptime.
  • Configured IAM users, groups, roles, and policies following least-privilege principles for secure access management.
  • Managed Amazon S3 buckets with lifecycle policies, versioning, and access controls for secure object storage.
  • Configured Route 53 hosted zones and DNS records to route application traffic and improve domain availability.
  • Implemented CloudWatch metrics, dashboards, and alarms for infrastructure monitoring and operational visibility.
  • Supported application deployments on Linux servers using Apache, Nginx, Git, and SSH while troubleshooting deployment issues.
  • Created Bash scripts to automate routine server maintenance, log cleanup, and backup verification tasks.
  • Worked closely with development teams to resolve infrastructure issues and ensure smooth application releases.

Skills

Toolchain & platform depth

Cloud & Infrastructure

AWS (EC2, S3, IAM, VPC)
90%
Lambda & API Gateway
85%
DynamoDB & RDS
80%
Route 53 / EBS / SNS
82%
Linux Administration
85%

DevOps & Automation

GitHub Actions / CI-CD
88%
Docker
78%
Jenkins
70%
Nginx / Apache
75%
Git
90%

Programming & Data

Python
85%
Django
65%
MySQL
75%
Bash
70%
HTML / CSS / JavaScript
72%

How this site runs

This portfolio is its own architecture diagram

The page you're reading is served straight from an S3 bucket. The contact form below doesn't call a third-party form service — it calls a real serverless pipeline built on API Gateway, Lambda, and DynamoDB, governed entirely by IAM roles.

🌐

Browser

Static HTML / CSS / JS

🪣

Amazon S3

Static website hosting

🔀

API Gateway

POST /contact

λ

AWS Lambda

Validates & processes request

🗄️

DynamoDB

PortfolioContacts table

🔐

IAM Role

Least-privilege execution

No AWS credentials ever exist in the frontend code — every step above is authorized through a scoped IAM execution role attached to the Lambda function.

Projects

Selected builds

ONDC Insurance API — Deployment & Infra

Deployed a Node.js (Express) backend on EC2 behind an Application Load Balancer with target groups, health checks, and Route 53 alias records, then automated releases with a GitHub Actions CI/CD pipeline.

EC2 → ALB → Target Groups → Route 53 → GitHub Actions

EC2ALBRoute 53GitHub ActionsLinux

RegTech API — Dockerized Laravel Deployment

Containerized a Laravel application with Docker on an on-premises Linux server, routed traffic through an Apache reverse proxy with SSL, and migrated the workload from AWS EC2 while keeping it live.

Docker → Apache Reverse Proxy → SSL → On-prem Linux

DockerApacheLaravelSSL

AWS 3-Tier Web Application

Designed a highly available 3-tier architecture across multiple AZs — ALB-fronted EC2 web tier, private-subnet app tier with Auto Scaling, and an RDS MySQL data tier — with CI/CD via GitHub Actions.

VPC → ALB → ASG → RDS (MySQL) → CloudWatch

VPCAuto ScalingRDSCloudWatchACM

Remote Desk Tracker

A Python monitoring tool that captures and uploads timestamped screenshots to S3 every 20 minutes, secured with IAM roles and running unattended via Windows Task Scheduler.

Python → Task Scheduler → S3 (IAM-secured)

PythonS3IAM

Serverless Student Management App

A fully serverless system on S3, API Gateway, Lambda, and DynamoDB, with CORS-enabled REST endpoints and least-privilege Lambda execution roles for real-time reads and writes.

S3 → API Gateway → Lambda (Python) → DynamoDB

S3API GatewayLambdaDynamoDB

Certifications

Credentials

🏅

AWS Certified Cloud Practitioner

CLF-C02 · Amazon Web Services

Validation Number: 3c18d893fd784338aebc0466b9491d9c

🎓

Advanced Certification in Cloud Computing & DevOps

Electronics & ICT Academy, IIT Guwahati
Supported by MeitY, Government of India

Duration: 25 June 2025 – 19 December 2025

Certificate ID: EICT/2425/004-OC/36-001/060

Contact

Let's build something reliable

Direct contact

yadnyeshchaudhari875@gmail.com

Pune, Maharashtra, India

Response flow

Once your message is received, I'll review it and get back to you as soon as possible, typically within 24 hours.