• Develop, and maintain database solutions and data warehouse architectures using MSSQL 2019/2022 and MySQL 8. • Collaborate with stakeholders to gather requirements and understand business needs for data storage and processing. • Develop and maintain ETL processes using SSIS, BIML, and DBT to ensure efficient data integration and transformation. • Implement and manage solutions within Power BI Fabric for enterprise-scale data analytics. • Write complex SQL queries, stored procedures, functions, and triggers to support application and reporting requirements. • Optimize query performance through indexing strategies, execution plan analysis, and database tuning techniques. • Troubleshoot and resolve database performance issues, data integrity problems, and system bottlenecks. • Monitor database health, perform capacity planning, and implement proactive maintenance strategies. • Develop automation scripts using PowerShell and Python to streamline database operations and maintenance tasks. • Ensure data security, backup and recovery procedures, and compliance with organizational standards. • Utilize version control tools such as Git and project management tools like Jira and Confluence or similar platforms as required. • Work effectively in a team environment, collaborating on concurrent developments and contributing to team success. • Document database architectures, ETL processes, standards, and procedures. • Stay current with database technologies, best practices, and emerging trends in data warehousing. • Provide technical guidance and support to team members and end-users as needed. • Contribute to continuous improvement initiatives related to data management and analytics infrastructure.