Data Infrastructure Development: Design, build, and maintain scalable data infrastructure on cloud platforms for data processing to support various data initiatives and analytics needs within the organization.
Data Pipeline Implementation: Design, develop and maintain scalable data pipelines to ingest, transform, and load data from various sources into cloud-based storage and analytics platforms using Python and SQL.
Performance Optimization: Optimize data processing workflows and cloud resources for efficiency and cost-effectiveness. Implement data quality checks and monitoring to ensure the reliability...