1.Design, develop, and maintain scalable data pipelines for extracting, transforming, and loading data from various sources to ensure seamless data flow and accessibility.
2.Collaborate with cross-functional teams to integrate data from multiple disparate sources, ensuring consistency, accuracy, and reliability of data.
3.Optimize data processing workflows and storage solutions for performance, scalability, and cost-efficiency
4.Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data throughout the data lifecycle.
5.Monitor the performance of data pipelines and infrastructure, identifying and resolving issues to maintain system stability and reliability.