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neha-dev-dot/README.md

Hi 👋, I'm Neha Bharti

📊 Data Engineer | 🚀 DevOps & Cloud | ☁️ Azure/AWS/GCP | 🔁 CI/CD | 🧠 Lifelong Learner | 💬 Open Source Contributor

👩‍💻 About Me

  • 📊 Currently working as a Data Engineer with Azure, Databricks, PySpark, and ADF.
  • 🔭 Also experienced in Kubernetes, Docker, Jenkins, Ansible, AWS, Terraform, CI/CD tools.
  • 🌱 Learning GCP & Go language.
  • ❤️ Passionate about community collaboration, open source, and sharing my knowledge.
  • 📢 Believer in Learning in Public and giving back to the tech community.

⚙️ Open Source Contributions & Community Involvement

I love sharing my knowledge and contributing to the community ⚡

Engage with me on various platforms 🚀

📊 Azure Data Engineering Skills

⚡ Tools & Platforms

Azure Data Factory Azure Data Lake Gen2 Azure Synapse Azure Storage Azure Event Hub Azure Blob Storage Azure SQL Database Azure Analysis Services Azure Databricks Azure Database for PostgreSQL Azure Database for MySQL Azure Data Explorer Azure Key Vault

🧮 Data Processing & Frameworks

Azure Databricks Apache Spark Delta Lake Apache Airflow

🐍 Languages & Scripting

PySpark Python SQL Jupyter

📁 What I Work On

📁 Responsibilities & Experience

  • 🔄 Orchestrating data pipelines using Azure Data Factory
  • ⚙️ Real-time & batch data ingestion via Event Hub and Data Lake Gen2
  • 🧠 Data wrangling and modeling using Databricks (PySpark)
  • 📊 Analytics & dashboards with Azure Synapse, SQL, and Power BI
  • 🔐 Enabling enterprise-grade security using Key Vault, RBAC, and Private Endpoints
  • 📦 Working with diverse formats: Parquet, CSV, JSON, and Delta

☁️ Cloud Platforms & Tools

🟨 AWS (Amazon Web Services)

EC2 S3 IAM VPC ECS EKS RDS CloudWatch CloudFront Route53 Lambda SNS SQS CloudFormation Elastic Beanstalk

🔵 Azure (Microsoft Azure)

Azure DevOps Azure VM Azure Blob Storage Azure Monitor Azure Functions Azure Active Directory Azure App Service Azure SQL Azure Kubernetes Service (AKS) Azure Key Vault

🔴 GCP (Google Cloud Platform) (Learning)

GCE GKE Cloud Storage Cloud Functions BigQuery Cloud SQL Cloud Run Pub/Sub Operations Suite IAM

🔁 CI/CD Tools

GitHub Actions Jenkins Azure DevOps CodeCommit CodeBuild CodeDeploy CodePipeline CodeStar Cloud9

🔧 Configuration Management & Automation

Ansible Terraform Shell Script

🐳 Containerization & Orchestration

Docker Kubernetes Helm

📈 Monitoring & Logging

Prometheus Grafana Loki Promtail ELK Stack

📦 DevOps Tools

SonarQube Postman Git GitHub

💻 Scripting & Programming

Bash Python Go

Databases

MongoDB Postgres Redis MariaDB MicrosoftSQLServer AmazonDynamoDB

Design & Collaboration Tools

Figma Canva Jira Trello

📊 GitHub Stats

🎖️ My GitHub Milestones

👀 Visitor Count

neha-dev-dot

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  1. Adventure-Works Adventure-Works Public

    This project demonstrates a complete, real-world implementation of a modern data engineering pipeline using the Azure cloud ecosystem. Built around the AdventureWorks dataset, the pipeline follows …

    Jupyter Notebook 1

  2. CI-GithubAction CI-GithubAction Public

    This project is a hands-on implementation of Continuous Integration (CI) using GitHub Actions with a basic Node.js backend. The goal is to understand and demonstrate how CI pipelines can be automat…

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  3. install-miniqube-with-github-action install-miniqube-with-github-action Public

    This repository demonstrates how to install and run Minikube inside a GitHub Actions workflow. It sets up a local Kubernetes cluster in a CI/CD environment using the Docker driver. Ideal for testin…

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    This project sets up a WordPress site using a complete LEMP stack (Linux, Nginx, MySQL, PHP) inside Docker containers via docker-compose. It includes a bash script that automates the setup process—…

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  5. Terrafrom Terrafrom Public

    This repository contains Terraform code examples and modules that I created while learning Infrastructure as Code (IaC) on AWS Cloud. It covers various AWS services including EC2, VPC, S3, and more…

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  6. NYC-TAXI NYC-TAXI Public

    This repository contains a complete end-to-end real-time data engineering project built using Azure Data Factory, Databricks, Delta Lake, and Azure Data Lake Storage. It demonstrates how to dynamic…

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