* Design, develop, and implement data pipelines and ETL processes using Python and MySQL. * Develop and maintain data models, database schemas, and data dictionaries. * Optimize and tune database performance for efficient data retrieval and processing. * Perform data cleansing, transformation, and validation to ensure data accuracy and consistency. * Implement and maintain data quality checks and monitoring processes. * Develop and maintain documentation related to data pipelines, processes, and data flows. * Identify and troubleshoot data-related issues and provide timely resolutions. * Stay up to date with the latest technologies and best practices in data engineering and database management. * Collaborate with data scientists and analysts to support their data needs and enable effective data analysis and reporting.