CV

Skills

Programming Languages: Python, SQL (MSSQL Server, Oracle, AWS Athena, PostgreSQL), R, Java (Java Spring/Spring Boot)
Miscellaneous Technologies: Linux, Git, Tableau, Alteryx, Pentaho Data Integration, REDCap, Azure Data Factory, SAP BusinessObjects, SAP Crystal Reports, Google Cloud Platform
Awards and Certificates: Epic: { Cogito, Clarity Data Model, Caboodle Data Model, Clinical Data Model, Access Data Model, Cosmos Data Model }

Informatics Analyst II (Atlanta, GA - REMOTE)
- Partner with Business Analysts, Project Managers, and Data Analysts to design and deliver high-quality applications on time and within budget. Engage in client meetings and design sessions to translate business needs into effective technical solutions.
- Extract data from Epic EHR, Cerner, and internal data warehouses to support analysis and decision-making. Conduct proof-of-concepts for emerging technologies, apply biomedical informatics standards, and produce detailed technical documentation. Collaborate on user requirements gathering while ensuring compliance with HIPAA and organizational policies.
- Lead the management of complex datasets and ensure accurate reporting across disparate systems. Drive informatics system enhancements and data management strategies to support Emory University’s research mission.

Health Informatics Data Analyst (Milwaukee, WI)
- Compiled, organized, and integrated diverse healthcare data from sources such as Epic Systems and Provide Enterprise. Employed advanced analytical techniques to optimize operations, ensuring seamless management of large datasets for actionable insights.
- Collaborated with internal stakeholders, business partners, and vendors to develop data processes aligned with technical capabilities. Delivered clear reports and presentations translating complex insights for clinical, operational stakeholders, and organizational leadership.
- Developed use cases to optimize clinical operations and implemented machine learning algorithms tailored to address clinical challenges, thereby contributing to the resolution of critical clinical problems and enhancing overall efficiency in healthcare.

Research Programmer Analyst (Milwaukee, WI)
- Designed, developed, and maintained critical applications and processes integral to collaborative clinical and outcomes research, ensuring a robust data infrastructure.
- Developed, tested, debugged, and documented automated ETL processes for research data infrastructure, utilizing Java and R, and consistently deploying changes to both on-premises and cloud production environments.
- Improved data quality within the research data infrastructure, implemented features in Java and R, and deployed complex SQL and scripting languages (R, Python, or SAS) to deliver analysis-ready datasets in compliance with HIPAA, IRB, and other regulatory standards.