Building scalable data pipelines and robust backend systems using Python & AWS
I am a Data Engineer and Backend Developer experienced in building production-ready APIs, ETL pipelines, and analytics platforms. I enjoy working with Python, FastAPI, PySpark, Airflow, and cloud technologies to solve real-world data problems.
Built a FastAPI-based backend with JWT authentication, user management, cart functionality, order processing, and inventory tracking using MySQL.
Tech: FastAPI, SQLAlchemy, MySQL, JWT GitHubDesigned and implemented a scalable ETL pipeline using PySpark and Airflow, loading data from MySQL to PostgreSQL and visualizing insights using Superset.
Tech: PySpark, Airflow, PostgreSQL, Superset GitHubDeveloped a real-time Express Train Tracking system to monitor train schedules, locations, and status updates. The application processes data efficiently and provides quick access to train-related information.
Tech: Python, Pyspark, REST APIs, PostgreSQL , Apache Superset , Kafka GitHubDeveloped a full-stack e-commerce Shoe Store application using Django. Implemented product catalog, categories, user authentication, cart, and order management with a relational database.
Tech: Django, Python, HTML, CSS, SQLite,Docker GitHubEmail: nssbadekar@gmail.com
GitHub: https://github.com/Ninad-Badekar