Build and optimize backend data pipelines and calculations for 7M+ securities using Python/Django. Implement Airflow pipelines, pandas/Celery-based async calculations, database query tuning, caching, scalable data models, incident investigation, code reviews, and cross-team collaboration to ensure timely, accurate financial data.