jared@platform:~$ whoami
Jared Sloan
Senior Data Platform Engineer
company
CVS Health (remote, New Haven, CT)
background
Web developer, data analyst & technical communicator → SQL Server DBA (insurance, 24/7 production ownership) → multi-cloud data platform engineering & architecture
education
Master of Science in Communication, Central Connecticut State University · Bachelor of Science in Information Technology, UMass Lowell

I build and run data platforms and make the architecture decisions around them: SQL Server, Oracle, MySQL, and MongoDB internals, DevOps/CI-CD automation, keyless cloud identity, and applied AI tooling in production pipelines.

Stack

Databases

  • SQL Server (production DBA, HA/DR)
  • Azure SQL / Managed Instance
  • PostgreSQL
  • Oracle
  • MySQL
  • MongoDB

Cloud & Architecture

  • Azure, AWS, GCP
  • Multi-cloud architecture & IT strategy
  • OIDC / Workload Identity Federation
  • Cost governance & FinOps

DevOps & CI/CD

  • Python, PowerShell
  • CI/CD pipelines (GitHub Actions)
  • Infrastructure as code
  • ETL / SSRS / SSIS

Applied AI

  • Agentic pipelines in CI
  • Google AI Studio / Gemini API
  • LLM-driven research tooling
  • Cost-bounded automation design

Projects

Three side projects, each live on infrastructure I built and run.

Joins Connecticut property records at the parcel: FEMA flood zones, NRCS septic suitability, NWI wetlands, NOAA 2050 shoreline projections and a modelled airport flight path, in one dossier per address. 18 Greater New Haven towns, 225,000 parcels, 208,000 recorded sales back to 2001, on a free-tier VM with nightly backups.
Computes EV fast-charge time and highway range from each car's own charge curve: thermal taper, cold-weather intake limits, aero drag, a heater that only runs when it's cold. 42 vehicles, 47 regression tests pinned to published dyno benchmarks and 70 mph road tests, and every result says whether its profile is measured or estimated.
PermitParser (in development)
Turns municipal permit and zoning portals (PDFs, scanned agendas, inconsistent HTML tables) into one queryable spatial record. Two Connecticut towns live, scrapers that respect robots.txt, parsers tested on the towns' own filings, 49 tests against PostGIS in CI.