Data Engineer
Current• Developed Data Pipelines: Designed and implemented scalable ETL processes to extract, transform, and load financial data from multiple sources, enabling accurate risk analysis and reporting.• Data Modeling: Maintained data models aligned with regulatory requirements, ensuring data integrity and accuracy for financial risk assessments.• Collaboration: Worked closely with risk management teams to gather reporting requirements, translating business needs into technical specifications for data infrastructure.• Quality Assurance: Developed data quality checks and validation processes, enhancing the reliability of risk-related data.• Performance Optimization: Optimized data workflows and SQL queries, significantly improving reporting efficiency and reducing latency.• Documentation: Maintained comprehensive documentation of data models, ETL processes, and technical specifications, supporting future reference and compliance.• Compliance and Governance: Ensured adherence to data governance policies and regulatory frameworks, such as Basel IV (CRR3).