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About Me

Hello,
I’m Daniel—a software engineer with full-stack expertise and a strong track record in delivering robust, scalable solutions for the financial and healthcare sectors. I specialize in blending engineering precision with business insight to solve complex challenges and drive impactful innovation.

I design full-stack systems—from responsive React interfaces to backend services in Python and C++—with custom APIs and robust data pipelines using SSIS, Azure Synapse, and Data Factory. My architectural approach blends microservices and lakehouse patterns to support agility and long-term growth.

Engineering

ETL, ELT, T-SQL, Pipelines, Functions, Schedules, Modeling, DWU Optimization, Governance, CI/CD

Programming

C, C++, C#, Python, PowerShell, Bash, Rust, SQL, JavaScript

Architecture

Lakehouse design, Data Warehouse Architecture, Enterprise Data Modeling, Schema Management, Azure Synapse Design Patterns, Event Hubs

Investment Banking Industry

  • Regulatory Data Modeling (FINRA/SEC/CAT compliance tracking)
  • Margin & Position Management Infrastructure
  • Real-Time API Services for trade desks and compliance tools
  • Batch Operations for Settlement & Reporting
  • Audit-Trail Enablement across multi-tier data structures
  • Automated Rule-Based Validation (Python/C++)
  • Latency-Optimized Submission Pipelines
  • 15-Minute Regulatory Deadline Enforcement
  • Azure Synapse Analytics for Trade Trend Reporting

Healthcare Industry

  • Engineered data models for population health dashboards, enabling real-time risk stratification and intervention planning
  • Automated data ingestion and transformation processes using Python, SQL, and cloud-native tools to support predictive analytics and clinical decision-making
  • Partnered with data scientists and care teams to operationalize ML models focused on readmission risk and care optimization
  • Integrated sensor and batch data with analytics tools to support root cause analysis, yield improvement, and post-market surveillance
  • Implemented robust data validation and lineage tracking to align with ISO 13485 compliance and internal audit requirements
  • Developed KPIs and interactive dashboards in Power BI and Azure Synapse to enable proactive decision-making on the factory floor.
  • Built production data pipelines to monitor device quality, throughput, and traceability across FDA-regulated systems

Ready for Action

From predictive modeling to scalable architecture, I specialize in turning raw data into actionable insight. Let’s unlock the power of your data together.