• Banking Analytics: Apply domain expertise to identify trends, assess risk, and track core financial metrics. • Data Engineering: Design, build, and optimize ETL pipelines feeding analytical databases. • Visualization Suite: Build interactive, automated dashboards for executive and operational decision-making. • System Migration: Translate and modernize legacy SAP BusinessObjects reports into a self-service PowerBI environment. • Performance Tuning: Write optimized data transformation scripts and data models for large-scale datasets.

• Design, develop, and maintain Databricks data pipelines and curated datasets supporting reporting and analytics initiatives. • Build and optimize analytics-ready datasets while ensuring data quality through validation, monitoring, and reconciliation processes. • Partner with analytics and reporting teams to align data structures with business and reporting requirements. • Support production operations and deployments across multiple environments, including troubleshooting data and performance issues. • Develop and maintain technical documentation such as data mappings, transformation specifications, and operational procedures. • Provide technical leadership and delivery support through solution recommendations, code reviews, testing, and release readiness activities.

• Collaborate with Finance stakeholders to understand requirements • Deliver data models that support financial reporting • Partner with FP&A, Accounting, and Systems teams • Build and maintain trusted dbt models • Work directly with data analysts to evaluate reporting requirements • Apply software engineering best practices to analytics code • Write and maintain clear dbt documentation • Actively participate in project scoping, sprint planning, and cross-functional delivery

• Design, build, and maintain the data storage and integration components of a mission-critical federal program. • Ensure enterprise databases are well-designed, high-performing, and reliable to support data integration objectives. • Design and implement database schemas and features, including complex SQL queries, stored procedures, and database code. • Monitor and optimize database performance through query tuning, indexing, and resource management. • Perform database optimization, performance tuning, and configure high-availability solutions to support large data volumes. • Oversee routine maintenance tasks such as backups, recovery procedures, and patching. • Implement and maintain robust disaster recovery strategies and backup policies. • Enforce database security controls, including access management, encryption, and hardening procedures. • Collaborate closely with data engineers and integration developers to ensure database structures support ETL/ELT processes. • Validate that database schemas align with incoming data feeds and ensure smooth operation of interfaces used for data integration.