Data Scientist
Developed and implemented an ETL pipeline to process and analyze real-time financial data from multiple sources, enabling timely insights for a financial analytics firm.Outcome: Successfully streamlined the data processing workflow, reducing data latency by 80Role: Designed and deployed the ETL pipeline, including data extraction from APIs, transformation using Python and SQL, and loading into a cloud-based data warehouse.Technology & Tools: Python, SQL, Apache Airflow, AWS (S3, Redshift), Pandas, NumPy, Talend, Tableau, Docker.