Develop and maintain Python applications for data processing, automation, and analysis.Write, optimize, and maintain SQL queries on SQL Server databases for ETL processes.Work with cross-functional teams to develop robust data solutions, integrating data sources and optimizing data pipelines.Use data science libraries (e.g., pandas, NumPy) to process and analyze data, providing insights and support for analytics needs.Leverage IBM Cloud or Microsoft Azure for deploying or managing data applications in the cloud.Troubleshoot database performance issues and optimize SQL queries for scalability and efficiency.