What you can hire him for.
Thirty years of senior healthcare data programming, distilled into four engagement shapes Yu-Pa Corporation runs every quarter. Most clients arrive via a federal prime, a state health department, or a private dataset they can no longer maintain in-house.
Independent read on a SAS codebase: what's reproducible, what's load-bearing macro, what should move to Viya or Python, and what's safe to retire.
- SAS 9.4 → Viya migration risk assessment
- Macro debt inventory + dependency graph
- HCUP-style cohort logic verification
- Written report with prioritized remediation
Build or rebuild a multi-state, multi-year healthcare data system to the same standard Jesús runs for AHRQ — 130 databases per year, 50-state intake, HIPAA from the foundation.
- Stratified sampling + uniform-format pipeline design
- ICD-10-CM/PCS + CPT/HCPCS + DRG grouper integration
- Encrypted, auditable transport for state data partners
- Documentation that survives staff turnover
End-to-end builds for federally regulated healthcare data — AHRQ, CMS, or state DUA — with the privacy, retention, and access controls primes require before adding a sub to a vendor list.
- DUA-mapped data-flow design + retention policy
- Cell-suppression and small-numerator handling
- HIPAA-compliant transport, storage, and destruction
- Audit-ready logs and access-control documentation
Working-engineer training in healthcare SAS, mainframe legacy patterns, and the boring-but-critical DUA habits that separate a junior programmer from someone you'd trust with PHI.
- Cohort training for in-house SAS / Python teams
- 1:1 mentorship for healthcare data programmers
- Guest instruction for CS / CIS departments
- Robotics + intro-CS workshops (current at Yu-Pa)
Why Yu-Pa
Certified minority-owned, founded 2000. Yu-Pa Corporation has held its California MBE certification since the early 2000s, which lets primes count subcontracted work toward federal diversity goals without additional pass-through paperwork.
Operationally boring. Healthcare data work fails when the human in the loop is sloppy about DUAs, retention, or cell suppression. Jesús has been doing exactly this work — same AHRQ stakeholders, same data partners, same compliance rhythm — since 2000. Two IBM merit awards. Zero data incidents on his watch.
You can deep-link the receipts. The capability statement consolidates UEI, NAICS codes, past performance, and certifications onto a single printable page.
Engagements that shaped the playbook.
Three concrete examples of the work shapes above, drawn from Jesús's career. Stakeholder names referenced where public; sensitive specifics omitted.
HCUP master SAS pipeline — 130 databases / year, 50-state intake
Architected and ran the master SAS processing engine for the Healthcare Cost & Utilization Project. Heterogeneous state-by-state hospital extracts converge into a uniform format used by federal health researchers nationwide.
- Shared SAS macro library normalized ~50 distinct state schemas
- Integrated MS-DRG groupers, ICD-10-CM/PCS, and CPT/HCPCS validation
- HIPAA + federal DUA controls enforced at every hand-off
- Microsoft Access front-end linked AHA hospital metadata to patient files
Survey software fielded across 12 state agencies, 1,500+ deployed copies
Packaging, distribution, and field support for CMS Medicaid Home- & Community-Based Services survey software. Each state agency received a build configured for their sampling frame, with versioned releases and an audit trail back to the source dataset.
- Per-state build pipeline driven by configuration, not code forks
- Encrypted distribution and signed-receipt tracking for every install
- Field support across rolling deployments — zero data incidents
- Documentation that survived staff turnover at state partners
Hospital accreditation automation — two merit awards
Refined the logistic models behind acute-care and long-term-care accreditation under Joint Commission's ORYX initiative. Shipped an Executive Information System with graphical indicator dashboards used by hospital quality teams.
- Automated quality-measure scoring for acute + long-term-care providers
- EIS dashboards mapped indicators to remediation workflows
- MICRS interface delivered monthly files to SF Dept. of Public Health
- Two technical merit awards for contributions to the program
Ready to scope it out?
Tell Jesús what you're working on — a SAS codebase you need an outside read on, a federal contract you're staffing, a healthcare data system that's outgrown its original design. He responds personally, usually within a business day.