Venkata Chandra Sekhar Sastry Chilkuri is a seasoned Senior Data Engineer at Apple Services Engineering, where he architects large-scale, privacy-preserving data systems that power developer analytics across the App Store. With over seven years of progressive experience in data engineering, machine learning infrastructure, and real-time systems, Venkata has played a pivotal role in building scalable, high-performance pipelines that process billions of daily events with sub-second latency. His work at Apple focuses on balancing privacy mandates with the need for actionable intelligence, delivering secure and compliant data solutions that enhance app discoverability and revenue attribution.

Prior to Apple, Venkata held engineering roles at Warner Bros. Discovery, Xandr (AT&T), and Capital One, where he led the development of distributed data platforms, implemented custom identity deduplication systems, and pioneered ML-driven targeting techniques. Notably, he contributed to the launch of Olli, a first-party data platform that significantly improved customer profile accuracy and ad targeting. His initiatives consistently delivered measurable business impact, from streamlining GDPR-compliant data pipelines to boosting ad revenue through clustering algorithms and collaborative filtering.

Venkata holds a Master's degree in Applied Data Science from Indiana University and is currently pursuing an MS in Computer Science from the Georgia Institute of Technology. His academic foundation from the National Institute of Technology Calicut, combined with his hands-on expertise in Spark, Airflow, Databricks, and cloud-native technologies like AWS and Kubernetes, empowers him to bridge statistical rigor with production-grade system design. A passionate advocate for data quality, performance optimization, and ethical data use, Venkata frequently mentors engineering teams and contributes to open-source and research communities, where he’s been recognized for innovations in interactive data visualization and human-centred computing.