Staff Software Engineer - YouTube Product - Backend Systems at Google

Led backend infrastructure for YouTube privacy compliance, account management, and data analytics serving 2B+ users. Built GDPR/CCPA data deletion pipelines, unified account architecture, and real-time data engineering pipelines processing petabytes of data with sub-second latency and regulatory compliance. Architected GDPR/CCPA compliance pipeline using Go, Python, and Apache Airflow to process 100K+ deletion requests monthly across 50+ data stores, reducing completion time by 84%. Designed unified account architecture migration with Java, Spring Boot, Spanner and Kafka, migrating 2B+ users with zero downtime and reducing account linking latency by 88% via Redis caching. Developed petabyte-scale data pipelines with Kafka, Spark, Dataflow, and BigQuery for real-time ETL and batch processing; optimized query performance through denormalization and custom indexing. Implemented multi-channel creator management using Go microservices, gRPC, and PostgreSQL replicas, delivering 50K+ QPS with

Staff Software Engineer - Google Fintech - Payment Systems at Google

Led tokenization service processing 100M+ tokens across 28 countries with 99.99% availability; implemented PCI-DSS compliant flows; built subscription billing infrastructure processing $2B+ ARPU with 99.98% accuracy; built 5M+ daily transactions pipeline; integrated with 40+ payment processors; zero-downtime migrations for 50M+ users using Kubernetes; implemented fraud detection using Python and Scikit-Learn; ML-based analytics; team leadership for 4-6 engineers; established reliability and security best practices.

Staff Software Engineer - YouTube Product, Backend Systems at Google

Led backend infrastructure for YouTube privacy compliance, account management, and data analytics serving 2B+ users. Built GDPR/CCPA data deletion pipelines, unified account architecture, and real-time data engineering systems processing petabytes of user data with sub-second latency and regulatory compliance. Architected GDPR/CCPA compliance pipeline using Go, Python, and Apache Airflow, processing 100K+ deletion requests monthly across 50+ data stores and reducing completion time by 84% through intelligent partitioning and Cloud Dataflow optimization. Designed unified account architecture migration using Java, Spring Boot, Spanner, and Kafka streams, migrating 2B+ users with zero downtime and reducing account linking latency by 88% via Redis caching. Developed petabyte-scale data pipelines with Kafka, Spark, Dataflow, and BigQuery for real-time ETL and analytics, and built AI-powered privacy recommendations using TensorFlow and Vertex AI with differential privacy for analytics.