Amira Hisham developed foundational data engineering solutions in the Ready-Talent/data-engineering-d25 repository, focusing on analytics-ready data models and scalable warehousing. She built a dbt project scaffold for ecommerce, delivering dimensional models for customers, payments, and products, and implemented an incremental orders fact table to improve data freshness and ETL efficiency. Amira also designed a Chicago taxi trip data warehouse, modeling trips, locations, and fees, and created analytic views to support business intelligence on company performance and revenue. Her work demonstrated depth in data modeling, data warehousing, and SQL, establishing maintainable structures that enable faster, more reliable analytics for stakeholders.