As a Software Engineer at Disney, I design, build, and maintain large-scale data pipelines and backend systems that power analytics and business intelligence across the streaming organization. My work focuses on creating reliable, high-performance data infrastructure that supports millions of daily records and enables downstream applications and reporting platforms.
I develop and optimize ETL workflows using Python, SQL, Airflow, and cloud-native tools, ensuring data accuracy, scalability, and fault tolerance. I also build automation and monitoring solutions to improve system reliability and reduce manual intervention.
Collaborating closely with data scientists, analysts, and product teams, I translate complex business logic into efficient, production-grade data models and APIs. Over the past year, I’ve improved pipeline latency, enhanced observability, and contributed to platform-wide initiatives that strengthen Disney’s data ecosystem and engineering standards.
