Software Engineer | Industrial Data Architect | GxP & DevOps Specialist
I build high-integrity, distributed systems that bridge the gap between complex data and real-world operations. My expertise lies in designing scalable data pipelines and mission-critical HMIs for high-stakes industries like Biotech, Energy, and Aerospace.
- Industrial Data Engineering: Architecting Medallion-style Lakehouses for multi-million row telemetry.
- Mission-Critical Systems: Expertise in GxP-compliant software, 21 CFR Part 11 integrity, and high-availability DevOps.
- Distributed Architectures: Specialized in "Triad" microservice patterns (.NET, Python, React).
- Domain Interest: Exploring the intersection of Data Engineering and GNSS/CubeSat ground segments.
| Category | Technologies |
|---|---|
| Languages | C# (.NET 10), Python (FastAPI/PySpark), TypeScript, SQL, SAS |
| Data Engineering | Microsoft Fabric (OneLake), Medallion Architecture, Delta Lake, Spark |
| Cloud & DevOps | Azure, Docker, GitHub Actions, CI/CD, Infrastructure as Code |
| Visualization & HMI | Power BI (DAX/DirectLake), React, Recharts, GxP-compliant UI/UX |
Industrial Digital Twin & GxP-Compliant HMI
- Architecture: Engineered a Decoupled Triad Architecture (React HMI ↔ Python SCADA Engine ↔ .NET 10 Compliance Service) to bridge historical data with live operational compliance.
- Innovation: Integrated a physics-based Digital Twin linking Impeller RPM to Oxygen Transfer and predictive temperature modeling via moving-window linear regression.
- Compliance: Built a dedicated .NET microservice for immutable audit trails (21 CFR Part 11) and a React-based HMI featuring deterministic pulsing alarms.
Enterprise Data Engineering & Power BI Analytics (Microsoft Fabric)
- Business Impact: Identified €4.9M in potential cost recovery (81,744 MWh efficiency risk) through advanced Power BI (DAX) and Star-Schema modeling.
- Scale: Implemented a full Medallion Architecture (Bronze/Silver/Gold) on OneLake using PySpark to process and transform millions of rows of operational telemetry.
- Visualization: Developed executive-level Power BI dashboards utilizing calculation groups and DirectLake mode to track production vs. demand with sub-second interactivity.
- Governance: Established a "Single Source of Truth" by computing KPIs upstream in Spark, secured via RLS/OLS, and automated through Fabric CI/CD pipelines.
Quality Engineering & DevOps Automation
- Stability: Developed a comprehensive automated testing suite designed for high-frequency deployment environments, ensuring system reliability through rigorous validation.
- Automation: Focused on building robust frameworks and CI/CD integration to minimize regression risks in production-aligned scenarios.
- Expertise: Ask me about Digital Twins, Azure Fabric, or GxP software integrity.
- Interests: Always open to discussing GNSS signal processing and satellite telemetry projects.
- LinkedIn: linkedin.com/in/dalbertonyebuchi
- Twitter: @DalbertZim
I balance the logic of data with the rhythm of music—I love cycling, singing, and playing the piano. Whether in a data pipeline or a piano sonata, "timing" is everything!