Open to relevant opportunities
$CLOUD COMPUTING · DEVOPS ENGINEERING

Building reliable systems. Automating everything else.

I'm Atharv Jadhav, a computer science graduate focused on cloud infrastructure, containerization, CI/CD, and automation.

AWS ArchitectureTerraform IaCDocker & KubernetesGitHub Actions CI/CD
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PRODUCTION SYSTEMS

Things I've built, deployed, and automated.

Real infrastructure deployments with verifiable GitHub repositories, multi-stage pipelines, and documented architecture decisions.

01/Cloud Infrastructure
Completed

AWS Static Website & Global CDN Architecture

Production-grade static delivery pipeline using Amazon S3, CloudFront edge caching, Route 53 DNS routing, and automated GitHub Actions deployments.

Key Architecture Highlights
  • ▶Origin Access Control (OAC) enforcing 100% private S3 buckets
  • ▶Automated S3 synchronization and CloudFront cache invalidation on push
  • ▶Custom domain routing with Amazon Route 53 alias records
Amazon S3Amazon CloudFrontRoute 53GitHub ActionsAWS IAMACM (SSL/TLS)
Repository
02/Infrastructure as Code
Completed

Modular AWS Infrastructure as Code (Terraform)

Reusable, parameterized Terraform HCL modules for provisioning reproducible AWS environments with remote state locking, least-privilege IAM, and cost-aware teardown routines.

Key Architecture Highlights
  • ▶Modular components for VPC, subnets, S3/CloudFront, and compute security groups
  • ▶Remote state storage in S3 with DynamoDB distributed state locking
  • ▶Strict input variable validation and typed outputs
Terraform (HCL)AWS ProviderAmazon S3 BackendDynamoDB State LockingGitHub Actions
Repository
03/Containers & Orchestration
Completed

Containerized Multi-Tier Web Application Stack

Containerized microservice architecture using multi-stage Docker builds, Docker Compose orchestration, PostgreSQL persistent storage, Redis caching, and health probes.

Key Architecture Highlights
  • ▶Multi-stage Dockerfile slashing production image footprint by over 65%
  • ▶Isolated bridge networks separating public traffic from database layers
  • ▶Persistent Docker named volumes ensuring zero data loss across container restarts
DockerDocker ComposeNode.js / TypeScriptPostgreSQLRedisNginx Reverse Proxy
Repository
04/Cloud Security & Storage
Completed

Document Vault — Secure Cloud Storage on AWS

Secure document management platform deployed on AWS featuring IAM role-based authorization, S3 pre-signed URL uploads, and encrypted cloud storage.

Key Architecture Highlights
  • ▶Direct-to-S3 uploads via short-lived pre-signed URLs bypassing backend bottlenecks
  • ▶Server-side encryption using AWS Key Management Service (AWS KMS)
  • ▶Strict IAM policies preventing direct public access to sensitive documents
AWS S3AWS IAMNode.js / ExpressS3 Pre-signed URLsAWS SDK v3KMS Encryption
Repository
ENGINEERING TOOLKIT

The tools behind the deployments.

Technologies I use to build, package, automate, and monitor systems. Focus is placed on repeatable patterns, least-privilege security, and declarative configurations.

Cloud Infrastructure

Architecting, securing, and deploying scalable services on AWS.

AWSCloud

Core cloud provider for infrastructure deployments

IAMCloud

Least-privilege roles, policies, and service accounts

Amazon EC2Cloud

Compute sizing, security groups, and key pairs

Amazon S3Cloud

Static asset hosting, bucket policies, and lifecycle rules

Amazon CloudFrontCloud

Global CDN caching, TLS termination, and origin shielding

Amazon Route 53Cloud

DNS routing, health checks, and domain configuration

Containers & Orchestration

Packaging portable services and managing multi-container application lifecycles.

DockerContainers

Multi-stage builds, rootless containers, and image reduction

Docker ComposeContainers

Local orchestration for multi-tier microservices

KubernetesContainers

Deployments, Services, ConfigMaps, and cluster fundamentals

Infrastructure as Code & CI/CD

Automating repeatable environments and continuous integration pipelines.

TerraformIaC

Declarative resource provisioning and modular architecture

GitHub ActionsCI/CD

Automated test suites, build pipelines, and deployments

GitVCS

Branching workflows, semantic releases, and code review

BashScripting

CLI automation, setup scripts, and environment configuration

Operating Systems & Networking

Linux systems administration and internet transport protocols.

LinuxSystems

Process management, systemd, permissions, and debugging

NetworkingNetworking

TCP/IP, subnetting, CIDR notation, and routing

DNSNetworking

Record types (A, CNAME, ALIAS), propagation, and resolvers

HTTP / HTTPSProtocols

TLS certificates, headers, status codes, and reverse proxies

Monitoring & Observability

Capturing telemetry and operational insight into running workloads.

PrometheusMetrics

Time-series metric scraping, exporters, and alerting concepts

GrafanaDashboards

Visualizing system metrics, CPU/memory saturation, and request rates

ℹNo artificial 95% proficiency bars. Each technology listed represents hands-on project implementations with actual configuration files, build logs, and code in the repositories below.
ABOUT & METHODOLOGY

Engineering with intent.

I'm a computer science graduate building practical skills in cloud computing and DevOps. My focus is understanding how applications are packaged, deployed, secured, automated, and monitored in real environments.

Rather than treating deployment as an afterthought, I approach infrastructure as software: version-controlled, automated through declarative code, and validated before touching production.

Core Operating Principles
  • ✔Everything codified in Git; no manual console edits.
  • ✔Least privilege IAM; default deny for incoming traffic.
  • ✔Deterministic CI/CD builds with automated verification.

The Engineering Workflow

01

Plan

Define architecture requirements, isolation boundaries, and security policies.

02

Build

Package application components using optimized multi-stage container builds.

03

Automate

Implement GitHub Actions pipelines for linting, security scanning, and builds.

04

Deploy

Provision reproducible cloud resources with Terraform and edge routing.

05

Monitor

Instrument systems with health probes, logging, and performance telemetry.

06

Improve

Analyze latency, review cost drivers, and refine reliability patterns.

Active Learning Roadmap & Technical Objectives
Advanced Kubernetes & CKA CompetenciesIn Progress

Custom Resource Definitions, ingress controllers, network policies, and pod disruption budgets.

AWS Certified Solutions Architect AssociateIn Progress

Multi-region disaster recovery, VPC peering, transit gateways, and IAM policy permission boundaries.

GitOps Workflows with ArgoCDPlanned

Continuous reconciliation loops, progressive delivery, and automated rollback strategies.

COMMUNICATION

Have a project in mind? Let's connect.

Whether you have questions about cloud architecture, automated pipelines, or potential engineering opportunities, feel free to drop a line.

Send a direct message

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