Summary
Sri Bulusu is a pragmatic Data Engineer with 10 years of experience building scalable cloud-native data pipelines and analytics solutions across AWS, GCP, and Azure. Currently at Amazon after roles at TechTu and Indiana University, she has delivered measurable operational improvements—such as 20% better travel-time predictions and 15% route optimizations—by combining Spark/Databricks, Airflow/Cloud Composer, Snowflake/BigQuery, and strong SQL/Python skills. Certified in Azure Data Engineering, Power BI, and Tableau, she blends hands-on ETL/ELT engineering with dimensional modeling and BI to turn messy, real-time data into reliable decision-making assets. Her background includes upgrading legacy SIS infrastructure and a patented medication-management innovation, showing a knack for applying data engineering to real-world systems beyond pure analytics. Based in Renton, WA, she brings both academic teaching experience and production engineering discipline to cross-functional teams.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Data Science, 3.8, Master's degree, Data Science, 3.8 at Indiana University Bloomington
Bachelor of Technology, Electrical, Electronics and Communications Engineering, 9.34, Bachelor of Technology, Electrical, Electronics and Communications Engineering, 9.34 at Gokaraju Rangaraju Institute of Engineering and Technology