Hello! I'm Irteza, a passionate data enthusiast with hands-on experience in Data Engineering, Analytics, and Machine Learning. Through my projects, I've explored various facets of the data ecosystem, from real-time data processing to cloud-based analytics. I'm driven by the thrill of transforming raw data into meaningful insights.

Dived deep into Formula 1 data using Azure Databricks, focusing on performance metrics of drivers and teams. This project combined cloud-based data engineering with in-depth data analysis.

An exploration of FastAPI, a modern, fast web framework for building Python-based APIs. This project not only showcases my proficiency in Python development but also my expertise in deployment and CI/CD. I utilized Render for seamless deployment of the application, integrated GitHub Actions for continuous integration and continuous deployment, and containerized the entire application using Docker for scalability and easy replication.

Built an end-to-end data pipeline for real-time weather data. Integrated Kafka for data streaming, orchestrated the pipeline with Apache Airflow, and stored processed data in a PostgreSQL database. The entire project is containerized using Docker.

A collection of exercises and projects from the IBM Data Engineering Professional Certificate. Explored real-time data processing, Spark-based data analysis, and ETL automation using Apache Airflow.

I believe in continuous learning and am always on the lookout for opportunities to expand my knowledge. If you have a challenging problem or an interesting project, I'd love to collaborate!