Demonstrated Expertise designing and implementing enterprise-scale data architectures for batch and real-time streaming workloads using Apache Spark, Flink, and Kafka; applying cloud-native data engineering practices across AWS, GCP, and Azure; developing and governing data pipelines for ingestion, transformation, and delivery across distributed platforms; designing data models across SQL, NoSQL, and NewSQL systems; and architecting advanced analytics solutions and intelligent automation frameworks. Demonstrated Expertise designing and implementing multi-cloud and hybrid infrastructure architectures across AWS, GCP, Azure, and on-premises environments using infrastructure automation tools --Terraform and Ansible; architecting scalable distributed systems with high availability, fault tolerance, and multi-region disaster recovery capabilities; and applying Site Reliability Engineering principles including capacity planning, service level management, and observability for high-throughput transactional and analytical workloads.