• Design and implement scalable data pipelines for ingestion, validation, cleanup, and normalization • Build and maintain ETL/ELT processes to support both batch and real-time data processing • Develop data quality frameworks and monitoring systems to ensure data integrity • Optimize pipeline performance and troubleshoot data flow issues • Deploy and manage data infrastructure on AWS and GCP platforms • Implement Infrastructure as Code (IaC) using Terraform for reproducible deployments • Design and maintain data lakes, data warehouses, and streaming architectures • Ensure security, compliance, and cost optimization across cloud resources • Implement event-driven architectures using technologies like Kafka, Kinesis, or Pub/Sub