Hitakshi Arora

Built and optimized high-throughput data pipelines processing 40–50 GB/day using Apache NiFi, Spark, Hudi, and Hadoop; scaled to handle 4 TB/day for government-scale datasets. – Enhanced pipeline reliability with automated error recovery and dynamic load balancing, reducing downtime by 35%. – Collaborated with senior engineers to refactor ETL workflows, cutting processing time by 45%.