Data Analyst with 3+ years of experience in Python for data analysis, data engineering, and machine learning, particularly in the energy commercialization and fintech (payments) sectors. Proficient in creating and managing ETL processes with Airflow, PostgreSQL, and SQL Server. Relevant projects include generating a list of 100+ potential clients for the sales team of a large energy broker, far outperforming third-party leads, using Python, GeoPandas, GCP, BigQuery, and OpenStreetMap geocoding API for geospatial analysis; also automated pipelines for high-level report creation for a contactless payments client, optimizing the process and reducing times by 50%, using Python, Airflow, and Looker Studio to compile data from S3 and PostgreSQL.