Scalable Python Data Ingestion & Projection Pipelines

Built Python-based data ingestion pipelines that materialize read-model projections from an event stream, improving the accuracy and reproducibility of downstream statistics. Designed for idempotent processing and clean separation between raw ingestion and computed projections, making results auditable and easy to reprocess. Integrated with Azure storage and messaging for reliable, scalable throughput.