DevOps Data Engineer with a strong background in data engineering and cloud computing. Active contributor to open
source projects with a passion for optimizing processes.
Actively contributing to the pandas library, a powerful data analysis tool used by millions worldwide.
Docker containerized and configurable Airflow data pipeline for collecting and storing stock and cryptocurrency market data.
ETL pipeline using Pulumi for infrastructure as code, integrating AWS services and Snowflake for automated data flow.
Streamlit Python-based web application to analyze historical stock data.
✔️ Assertive python design by contract toolkit for software validation. Simplify preconditions, postconditions, and invariants with easy-to-use decorators.
Django-based web application for real-time stock tracking.
💡 Full-stack app with a Flask backend, PostgreSQL database and Vue.js frontend, deployed on Render and Vercel.