Kevin Fernandez Email & Phone Number

United States

San Francisco, California, US

• Owned the implementation and execution of a company-wide, scalable, data quality pipeline using DBT and the Great Expectations testing framework. I used basic object-oriented Python and advanced SQL to automate over.
• Led a team of 5 engineers to develop the framework and report business-facing results to company stakeholders
• Conducted regular trainings and creation of documentation to support internal use of the data quality framework
• Supported value-based customer deliverables with ad-hoc reporting and custom data architectureTools and skills I regularly used included:
• DBT
• Great Expectations

US

• Led the development and execution of automated data quality checks using stored procedures written in Teradata SQL on the Medi-Cal Management Information System/Decision Support System (MIS/DSS) data warehouse. The.
• Served as the primary point of contact between ETL development teams, program specialists, and CA MIS teams for data quality issues across various downstream systems
• Collaborated with CA MIS and Optum to author and improve monthly release notes, including resolutions to data quality issuesTools and skills I regularly used included:
• Teradata Studio
• Teradata Data Miner
• Advanced SQL

• Supported the development and iterative release of a 340B drug pricing software product. I served as the primary liaison between the engineering team and business stakeholders requiring me to translate business needs.
• The software supported over 700 clinician and health administration users affecting the lives of over 5 million Medicare beneficiaries
• Owned assigned features and led the creation and prioritization of various agile team backlogs
• Regularly used SQL to query EHR and pharmacy data
• Served as chief liaison across multiple departments including analytics, quality, and delivery
• Routinely developed reports using PowerBI to display business-facing KPIs

• I contributed to the overall success of our organization by reviewing, trending, reporting and interpreting population health data to better understand total cost, utilization and quality of care for a defined patient.
• Authored a white paper highlighting potential fraud and abuse among rural skilled nursing facilitiesData sources I regularly used include:
• Clinical Records from Participant Electronic Health Record systems (EHRs)
• CMS Billing Claims Data (CCLFs)
• CRM Organizational Information
• Private Insurance Billing Claims (Blue Cross, UnitedHealth, etc)Through analyzing patient claims and organizational data, I was able to identify progress, performance, and opportunities for improvement on financial.

• Developed detailed finance and utilization charts using Medicare billing claims and hierarchical organizational data
• Implemented enterprise level analytics projects serving multiple stakeholders and organizations

Bachelor Of Arts (B.A.), Chemistry & Public Policy

Public Policy Analysis