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manjotkaurr31/README.md

💫 About Me:

I am the kind of person who cannot leave a black box alone. I love working with different system designs and thinking through the tradeoffs that shape them. Building distributed backend applications is where I feel most at home, designing systems that handle concurrency, failure, and scale in meaningful ways. Cloud infrastructure and network security pull me in equally, and understanding how they actually work matters to me as much as using them. Linux is something I keep coming back to, always looking to go one level deeper. Whenever I come across a new tool, my first instinct is to peek under the hood. I am also just stubborn about finishing things. Once I sit down to work on a problem, I do not feel right walking away until it is solved or I have genuinely exhausted every angle. That persistence has served me well when debugging infrastructure issues at 2am or tracing a race condition through an async pipeline. I am still early in my journey, actively building, actively learning, and always looking to go one level deeper.

💻 Tech Stack:

Java Python AWS Azure Apache Kafka RabbitMQ Redis FastAPI Postgres MicrosoftSQLServer Docker Kubernetes Prometheus Jenkins Git GitHub GitHub Actions Postman

🏆 GitHub Trophies

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  1. AWS-Kafka-Banking-Ledger-System AWS-Kafka-Banking-Ledger-System Public

    A cloud-native event-driven banking backend system built using Kafka, FastAPI, PostgreSQL, Docker, AWS ECS Fargate, Amazon ECR, and GitHub Actions CI/CD. This project simulates banking operations s…

    Python

  2. AWS-based-Employee-Management-System AWS-based-Employee-Management-System Public

    A cloud-native REST API for managing employee records, built with **FastAPI** and deployed on **AWS ECS (Fargate)** via a fully automated **CI/CD pipeline** using GitHub Actions.

    Python

  3. Azure-based-Inventory-Management-System Azure-based-Inventory-Management-System Public

    Automated serverless, event-driven backend system that processes orders asynchronously using Azure Functions, Queue Storage, and Cosmos DB. The system demonstrates real-world patterns such as decou…

    Python

  4. End-to-End-Automated-Databricks-Pipeline End-to-End-Automated-Databricks-Pipeline Public

    A fully automated, end-to-end data engineering pipeline that ingests real-time earthquake data from the USGS API, processes it through a Medallion Architecture (Bronze → Silver → Gold), and serves …

    Jupyter Notebook

  5. Azure_DataWarehouse Azure_DataWarehouse Public

    An end-to-end Azure data engineering pipeline implementing a metadata-driven Medallion Architecture to transform raw GitHub CSV data into a structured Star Schema. The project leverages ADF, Databr…

    Jupyter Notebook

  6. On-premesis-Datawarehouse On-premesis-Datawarehouse Public

    This project implements a layered SQL Server Data Warehouse using the Medallion Architecture pattern. The system integrates data from multiple enterprise sources (CRM and ERP), processes it through…

    TSQL