Developed large-file upload support for Azure Blob Storage within the apache/nifi repository, enabling ingestion of files exceeding 200GB through the NiFi Azure processor. This work involved implementing parallel transfer mechanisms and tuning block sizes to optimize throughput and reliability for enterprise-scale data migrations. Leveraging Java and the Azure SDK, the solution addressed challenges in cloud storage integration by supporting efficient handling of massive datasets. The enhancement aligns with enterprise cloud data ingestion requirements, reducing time-to-insight for large data pipelines. The work focused on robust engineering practices, delivering a targeted feature that improves scalability and reliability for cloud-based workflows.