Data Engineer with 4+ years of experience at AWS building scalable data platforms, ETL pipelines, and cloud-native analytics solutions. Proven track record of designing and automating data workflows using AWS Glue, Redshift, Lambda, and Airflow, improving pipeline efficiency by up to 80% and data accuracy by 20%. Experienced in building distributed data systems handling 100K+ to multi-million record datasets across 100+ AWS services, enabling reliable enterprise reporting and financial forecasting. Strong expertise in Python, SQL, and AWS data services with focus on data modeling, pipeline orchestration, and production-grade architecture. Proven success delivering scalable data solutions through cross-functional collaboration across engineering, finance, and product teams.