Data Engineer with expertise in ETL processes, data modeling, and data governance. Experienced in building scalable data pipelines, creating documentation, and developing metrics to simplify data analysis for end-users and stakeholders. Passionate about delivering impactful, data-driven solutions.
Improved the library’s data manipulation and reporting functionalities, improving usability for millions of users worldwide.
Docker containerized and configurable Airflow data pipeline for collecting and storing stock and cryptocurrency market data.
Streamlit Python-based web application to analyze historical stock data.
Analyzing and monitoring Net Promoter Score (NPS) performance for healthcare companies using SQL and Power BI.
✔️ Assertive python design by contract toolkit for software validation. Simplify preconditions, postconditions, and invariants with easy-to-use decorators.
ETL pipeline using Pulumi for infrastructure as code, integrating AWS services and Snowflake for automated data flow.