Akash Sajja

Data Engineer @UnitedHealth Group

Chicago, IL, US

Supporting data engineering for a large healthcare organization, building and operating data platforms that enable analytics, reporting, and operational decision-making across clinical and business teams.• Built and maintained cloud-based ETL pipelines processing 5–8 TB of healthcare data per day, improving pipeline reliability and supporting downstream analytics at scale• Increased pipeline availability to 99.5% by implementing automated scheduling, retries, and failure handling across batch workflows• Reduced downstream data defects by 30–35% by introducing data validation, reconciliation, and auditing checks across ingestion and transformation layers• Improved distributed processing performance by 25% through partitioning strategies, query optimization, and workload tuning• Reduced incident resolution time by 40% by adding structured monitoring, logging, and alerting to production data systems