Kiran Asknani

Accelerated the 0→1 launch of a mature data engineering function within 10 months, using AI-native workflows to multiply individual output by 4–5x. Architected enterprise data infrastructure with unified governance and security, serving 3,000+ users.

Recruited, managed, and led a high-performing technical team of 5 Data Engineers and 2 Business Intelligence Engineers building petabyte-scale data infrastructure for Prime Video's Finance and Data Science organizations. Directed the full-scale platform migration to a modern cloud-native data lakehouse on Apache Iceberg and Apache Spark, reducing 10-year historical data backfill runs from 3–4 mont

Led data platform engineering for the Sales & Service organization, owning foundational and curated data layers while managing technical execution, data quality frameworks, and platform availability standards. Architected a real-time streaming data platform processing 2–3 million rows of unstructured data per day using Kafka, Google Pub/Sub, Apache Spark, and Apache Beam.

Streamlined and channelized the work intake process for the reporting team, reducing overdue time on outbound reports by 50% and generating $250K in incremental custom reporting revenue. Managed and mentored a cross-functional team of 5 Business Intelligence Engineers and 3 Data Engineering interns.

Owned the development and execution of end-to-end ETL processes for retail data, ensuring 98% reporting accuracy for global CPG customers. Drove a 60% reduction in developer effort by streamlining fact data processing and maintaining core data warehouse structures.