Design, develop, and maintain ETL processes to extract data from multiple source systems (databases, APIs, flat files, etc.) Transform and cleanse data to meet business and technical requirements Load data into target systems such as data warehouses, data lakes, or BI platforms Develop and optimize data pipelines for performance, scalability, and reliability Ensure data quality, integrity, and consistency across systems Perform data validation, reconciliation, and error handling Collaborate with business analysts, data architects, and stakeholders to understand data requirements Troubleshoot and resolve data-related issues and performance bottlenecks Implement logging, monitoring, and alerting mechanisms for ETL workflows Maintain technical documentation, data mappings, and workflow design Oversee ETL pipeline development, execution, and reliability Ensure data quality, integrity, and consistency across systems Drive performance optimization and scalability of data workflows Collaborate with stakeholders to align data solutions with business needs Govern data processes, compliance, and continuous improvement initiatives Advanced SQL & Data Transformation ETL Tools (Informatica / Talend / SSIS / DataStage) Scripting/Programming (Python, Shell) Data Warehousing Concepts (Dimensional Modeling, Star/Snowflake)