· Develop and maintenance ETL data pipeline using python pandas and SSIS To integrate data from various sources into the organizational data warehouse (DWH), transforming raw data into usable data for multiple application.· Monitor the performance of data pipelines and data models, troubleshoot issues, and ensure high availability of data infrastructure.· Executing complex SQL queries and creating stored procedures on large and complex databases.· Develop and maintenance detailed, designed, and interactive reports & dashboards with Qlik Sense and Power BI, providing stakeholders with visual data and insights to power business decision.· Define and monitor KPIs for various departments in the company.· managed the end-to-end project lifecycle, ensuring successful delivery within scope and timeline.· Collaborating with analysts, developers, and stakeholders within the organization to gather and analyze requirements and translate business needs to technical requirements.

· Applied advanced analytics to evaluate and enhance sales and operation models using SQL and Excel. · Developed comprehensive models for sales production, regulatory reporting, sales promotions, and employee performance, optimizing operational efficiency.· Executed advanced SQL queries in large-scale databases for sales and operations.· Implemented VBA procedures to optimize workflows, automating repetitive tasks and enhancing efficiency in sales and operation processes.

· Analyzed and reviewed transactions in international markets, including forex, shares, options, and bonds.· Full-time English-speaking role with Oppenheimer agencies in the US.