Justin Napolitano

Data Engineer

• Stand up Azure Data Factory + Synapse pipelines that land Epic Clarity extracts into governed models for quality and operations teams.
• Build Power BI and Looker Studio dashboards that surface heart failure and readmission metrics for service line leaders within 24 hours of discharge.
• Harden ELT frameworks and SQL transformations that reconcile EDW, Vizient, and bedside documentation into one source of truth for CFO and CMO briefs.
• Partner with nursing, cardiology, and digital to automate alerts, reducing manual spreadsheet updates by 60% across the network.

• Epic Clarity intake
• Synapse orchestration
• Power BI care dashboards
• Looker Studio automation
• Heart failure metrics
• Vizient benchmarking
• ELT governance
• SQL transformation ops

Business Analyst II

• Partnered with clinical and operations teams to define data requirements for performance and quality improvement initiatives.
• Designed SQL-based reporting pipelines and Power BI dashboards for inpatient care and readmissions metrics.
• Supported data validation and reconciliation efforts across Epic Clarity and EDW environments.
• Contributed to cross-functional analytic projects focused on cost reduction, patient outcomes, and digital health integration.

• Clinical intake workshops
• Inpatient KPI dashboards
• Readmission SQL models
• Epic–EDW reconciliation
• Quality metric validation
• Stakeholder facilitation
• Cost reduction analytics
• Digital health integration

Analytics Engineer

• Led evaluation of six AI and data vendors, assessing integration, latency, and scalability to guide $5M in platform investment decisions.
• Fine-tuned large language models using Python, improving generative quality by 10% based on editorial scoring loops.
• Built twelve Python- and SQL-based reporting pipelines in GCP, integrating with Looker to deliver topic insights across thirty media brands.
• Increased subscription conversion rates by 5% through KPI reporting in GCP that powered targeted marketing runs.
• Modeled first-party user behavior in Treasure Data CDP using 150+ signals to support retention and exec briefings across Rolling Stone, Billboard, and more.

• AI vendor evaluation
• LLM fine-tuning
• Python GCP pipelines
• Looker newsroom insights
• Subscription KPI reporting
• Treasure Data modeling
• Topic clustering analytics
• Signal engineering

Founder, Data Automation

• Implemented two customer data platforms to improve audience segmentation and campaign targeting for 2M+ high-value prospects.
• Migrated three legacy systems to GCP, doubling data processing speeds and streamlining analytics workflows.
• Automated email marketing pipelines that converted 10% of 5,000 cold leads into qualified clients.

• CDP implementation
• GCP migrations
• Audience segmentation models
• Marketing automation design
• ETL modernization
• Data contract remediation
• Campaign performance analytics
• CRM enrichment

Research Assistant

• Designed a rubric for coding international human rights violations using statutes from major global treaties.
• Led a five-person research team to develop an open-source MySQL database documenting systemic abuses across global conflict zones.
• Co-authored an analysis on gender-based violence published by De Gruyter and presented at the International Criminal Court in The Hague.

• Human rights taxonomy
• MySQL open database
• Data collection protocol
• Conflict trend analysis
• Scholarly writing
• Gender violence research
• ICC briefing prep
• Research team leadership

BA, Political Science

Statistics Specialization

Python 3 Specialization