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felipe-regis/README.md

Felipe Regis

Executive Manager · Data & AI Engineering (Healthcare)
Corporate Lakehouse · Clinical & Operational Analytics · RWD/RWE · AI for Health

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👋 About Me

I am Executive Manager of Data & AI Engineering at Rede D’Or, responsible for building and scaling the corporate Lakehouse platform, ensuring data governance, and developing AI/Analytics solutions that support clinical decision-making, operational efficiency, and human-centered care.

Databricks customer for Lakehouse, Delta Lake, MLflow, and Unity Catalog.

Microsoft customer for Azure, Cloud Infrastructure, AI and other Services.

MongoDB customer for NoSQL Database, DBaaS for applications.

Salesforce customer for CRM platform and integrations.

Confluent customer for building event driven solutions.


🏗️ Areas of Expertise

  • Lakehouse Architecture (Azure + Databricks): Delta Lake, Unity Catalog, Medallion architecture (bronze/silver/gold/diamond), streaming CDC (Kafka/Event Hubs).
  • Healthcare Data Products: integration of HIS/EMR (MV, WPD, TASY), FHIR/HL7, imaging, lab, billing, and revenue cycle.
  • AI/ML & RWD/RWE: risk models (readmission, sepsis, pneumonia), clinical NLP, claims audit, and resource optimization.
  • Governance & Security: LGPD/HIPAA compliance, encryption, masking, role-based access, audit trails.
  • Observability & FinOps: pipeline cost/performance monitoring, data quality, reliability SLAs.

⚙️ Core Tech Stack

Azure · Databricks · Delta Lake · Spark (PySpark) · Kafka/Event Hubs · ADLS Gen2 · Azure Data Factory · SQL · Python · MLflow · Unity Catalog · Power BI


📌 Key Interests

  • Lakehouse for Healthcare — enabling RWE/RWD, interoperability, and faster insights for clinical and operational use cases.
  • AI in Hospitals — from early diagnosis of pneumonia to real-time sepsis alerts, optimizing care and reducing cognitive overload for professionals.
  • Data Governance & MLOps — building reliable, compliant, and explainable AI solutions in regulated environments.
  • Human-Centered Healthcare — leveraging data and AI to improve efficiency while keeping the patient at the center of care.

📂 Featured Work

  • Clinical Data Lakehouse Blueprints — healthcare-ready medallion architecture with FHIR/HL7 integration.
  • CDC Streaming Pipelines — Kafka→Delta ingestion for tracking the medical billing journey and financial indicators.
  • Risk Prediction Models — AI-driven decision support for pneumonia, readmission, and sepsis using MLflow and governance.

Note: Corporate repositories are private; public repos highlight PoCs, cookbooks, and reusable templates.


🤝 Connections

  • Employer: Rede D’Or
  • Customer Partnerships: Azure (Cloud Provider)
  • Customer Partnerships: AWS (Cloud Provider)
  • Customer Partnerships: GCP (Cloud Provider)
  • Customer Partnerships: Databricks (Lakehouse/AI + Data Intelligence Platform)
  • Customer Partnerships: MongoDB (Data Intelligence Platform)
  • Customer Partnerships: Confluent (Event Driven Platform)
  • Customer Partnerships: Salesforce (Data Intelligence Platform)
  • Customer Partnerships: Mulesoft (API Management Platform)

📫 Contact

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  1. felipe-regis felipe-regis Public

    Executive Manager of Data & AI Engineering @ Rede D'Or | Driving healthcare innovation with corporate Lakehouse, RWD/RWE & AI solutions | Databricks customer | Focused on clinical decision support,…

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