Christian Vega.

Python, SQL, Snowflake, Azure Data Factory, Azure OpenAI, Snowflake Cortex

• Built and shipped an internal LLM tool, now in HIPAA production, that drafts Business Requirements Documents and data-dictionary context — work that used to take an analyst hours per document.
• Lead the AI and LLM automation workstream: architecture, prompt and evaluation standards, and delivery to production with stakeholders across several teams.
• Directing the migration of legacy reporting onto a modern, automation-first platform.
• Designed and taught a data-analytics course for non-technical supervisors and managers, so they work with the data directly instead of waiting on the technical team.

Python, FastAPI, Flask, PostgreSQL/pgvector, LightGBM, Nuxt 3, TypeScript, Docker, AWS, Cloudflare, Linux

• Three products designed, built and operated end to end — data model, pipelines, backend, front end, deployment, and the production ops that keep them serving users daily.
• LicitaPR (licitapr.com): procurement intelligence over 1.37M government contracts from 34 sources — resumable crawlers, entity resolution, OCR of scanned documents, nightly data-quality checks and a release-gating test suite.
• Nidopr (nidopr.app): ~64,000 listings refreshed nightly from 10+ sources; a LightGBM valuation model with calibrated 80% prediction intervals and a back-testing trust gate; hybrid semantic search (pgvector + full-text); unattended nightly jobs with health checks that alert by phone.
• StreetOS (demo.streetos.app): multi-tenant SaaS for food businesses — ordering, kitchen display, inventory, Puerto Rico sales tax by item class and end-of-day close — one isolated instance per tenant, behind an automated QA gate.

MSSQL Server, SSIS, ETL, Python, Power BI, SSRS, REST APIs

• Led the technical delivery of PRASA's water-balance automation: set direction for a small team (an analyst, two developers and a PM) and coordinated 20 stakeholders across departments.
• Replaced a two-month manual process with one automated ETL pipeline in SSIS and Python.
• Built the pipelines, REST API integrations and BI / KPI dashboards that moved operational reporting from manual to near-real-time; automated reporting cut generation time by about 30%.
• Led data-governance work across the analytics estate: integrity, security and compliance.

SQL, Postman, Snowflake, SSIS, SSMS, Azure DevOps

• Built automated test frameworks in SQL and Postman that cut manual testing time by about 30%.
• Validated Snowflake data models and reporting structures; planned deployments and test cases with cross-functional teams, tightening API testing and speeding up releases.

SQL, Power Automate, SSIS, IBM Cognos, Tableau

• Led compliance work, automating audit workflows and data validation with SQL and Power Automate; brought compliance up to 95%.
• Ran data-integrity audits (SSIS, IBM Cognos) and built Tableau dashboards that sped up claims and inquiry resolution, all under HIPAA and Medicare Parts C and D.