Building scalable data, analytics, AI, and enterprise applications that turn complex business needs into measurable outcomes.
📍 Port Harcourt, Nigeria | 🌍 Open to global opportunities
I am a Senior BI Developer, Data Engineer, Solution Architect, and Digital Transformation professional with 8+ years of experience across business intelligence, enterprise application development, operational reporting, data validation, analytics automation, and stakeholder engagement.
I design and deliver solutions across the full lifecycle, from refining an early business request and defining KPI logic to modelling data, building applications and dashboards, establishing validation controls, supporting deployment, and improving adoption.
My work combines Power BI, Microsoft Fabric, SQL Server, SAP-connected reporting, Azure Data Factory, Python, FastAPI, Django, Power Platform, APIs, and cloud delivery practices. I am especially interested in creating reliable platforms that improve decision-making, reduce manual work, strengthen governance, and make technology easier for people to use.
I do not build technology for technology's sake. I build solutions that solve operational problems, enable better decisions, and create sustainable business value.
| Business intelligence | Operational improvement | Platform support | Capability building |
|---|---|---|---|
| 25+ enterprise dashboards | 40% reduction in manual reporting effort | 20+ enterprise applications supported | 500+ professionals trained or enabled |
| 1,000+ daily solution users | 25% faster verification cycles | Multi-source enterprise integration | Leadership across large learning communities |
Additional outcomes reported across my portfolio include opportunities for annual savings, cost avoidance, stronger compliance visibility, and improved executive decision support. Project-specific figures will be linked to sanitized case studies as they are published.
| Area | Capabilities |
|---|---|
| Data Engineering | ETL/ELT, dimensional modelling, data validation, medallion architecture, lakehouse patterns, pipeline orchestration, data quality |
| Analytics & BI | Power BI, DAX, Power Query/M, KPI design, executive dashboards, operational reporting, semantic models, self-service BI |
| Cloud & Azure | Microsoft Fabric, Azure Data Factory, Azure data services, cloud solution design, identity-aware application patterns |
| Application Development | Python, FastAPI, Django, JavaScript, React, REST APIs, SQL Server integration, enterprise portals |
| AI Enablement | Generative AI use cases, retrieval-augmented generation, prompt engineering, document intelligence, AI-assisted workflows |
| Solution Architecture | Requirement discovery, solution design, integration architecture, security considerations, governance, technical documentation |
| DevOps & Reliability | Git, GitHub, Azure DevOps, CI/CD, deployment automation, peer code review, monitoring, production support |
| Leadership & Delivery | Stakeholder management, citizen developer enablement, mentoring, facilitation, technical leadership, digital adoption |
Data and analytics
Applications and APIs
Cloud, automation, and delivery
The case studies below are intentionally public-safe. Replace the placeholder links and screenshots with sanitized assets that do not expose confidential business information.
Story: Business teams required a trusted view of operational and performance data that could replace fragmented manual reporting and improve decision-making.
- My role: BI architecture, requirement refinement, KPI definition, data modelling, dashboard development, validation, deployment, and stakeholder adoption
- Stack: Power BI, Microsoft Fabric, SQL Server, SAP-connected data, SharePoint, Excel, APIs
- Outcome: Contributed to a broader portfolio of 25+ dashboards supporting more than 1,000 daily users
- Architecture visual: Source systems → ingestion and validation → curated model → governed semantic layer → executive and operational reports
- Repository:
[TODO: add case-study-repository] - Case study:
[TODO: add portfolio-page]
Story: A multi-module reporting process needed better traceability, standardized requirements, dashboard visibility, secure access, and faster verification.
- My role: Solution architecture, full-stack development, requirements traceability, dashboard integration, authentication planning, and delivery coordination
- Stack: Python, Django, SQL Server, JavaScript, Power BI, REST APIs
- Outcome: Designed to improve process visibility and support faster verification cycles
- Architecture visual: Auth gateway → modular applications → shared services → operational database → analytics layer
- Repository:
[TODO: publish sanitized reference implementation] - Case study:
[TODO: add architecture decision record]
Story: Distributed teams needed a simpler way to register, discover, manage, and track access to operational tools.
- My role: Requirement engagement, data template design, application development, workflow design, documentation, and deployment planning
- Stack: Python, FastAPI or Django, SQL Server, HTML, CSS, JavaScript, Azure
- Outcome: Created a foundation for improved tool visibility, controlled records, and more efficient access workflows
- Repository:
[TODO: add public demo] - Live demo:
[TODO: add demo link]
Story: Stakeholders required a consolidated digital experience for project visibility, field updates, issue tracking, and management reporting.
- My role: Prototype development, solution design, stakeholder clarification, iterative demonstrations, and integration planning
- Stack: Power BI, Python, web technologies, APIs, SQL Server, Azure services
- Outcome: Improved the structure and visibility of project information through a unified digital experience
- Repository:
[TODO: add sanitized prototype] - Case study:
[TODO: add before-and-after story]
Story: A growing community of makers needed structured learning, subscriptions, deployment guidance, review controls, and sustainable support.
- My role: Training, facilitation, mentoring, platform support, governance guidance, peer-review advocacy, and deployment enablement
- Stack: Power Platform, Power BI, Microsoft Fabric, Azure, Git, documentation and learning resources
- Outcome: Trained or enabled 500+ professionals while supporting a broader learning community with a 20-person facilitator team
- Resources:
[TODO: add learning hub] - Playbook:
[TODO: add public governance checklist]
Discover → Clarify → Architect → Build → Validate → Review → Deploy → Measure → Improve
- Discover the real problem behind the initial request.
- Translate business goals into requirements, KPIs, acceptance criteria, and delivery priorities.
- Design for scale and maintainability, not only for the first release.
- Build with validation and governance incorporated from the start.
- Use peer review for calculation logic, security-sensitive changes, and production releases.
- Measure adoption and outcomes after deployment.
- Document decisions so teams can support and improve the solution.
- Contribute to digital transformation and citizen developer enablement initiatives.
- Mentor professionals in analytics, application development, and solution delivery.
- Support structured peer review as an interim quality control mechanism for critical calculation and application logic.
- Contributed to the Society of Petroleum Engineers Abuja Young Professionals community and its professional-development activities.
- Create learning resources for people developing skills in Power BI, analytics, and modern data platforms.
[TODO: How I translate business requests into scalable analytics solutions][TODO: Building a governed Power BI delivery workflow][TODO: Lessons from supporting enterprise applications]
[TODO: Less Activities, More Impact, Big Transitions][TODO: Power BI learning roadmap][TODO: Citizen developer governance and delivery]
| Category | Certification or learning path | Status | Evidence |
|---|---|---|---|
| Microsoft Fabric | DP-600: Fabric Analytics Engineer Associate | TODO: Passed / Preparing / Rescheduling |
[Add credential] |
| Power BI | TODO: Add certification |
TODO |
[Add credential] |
| Azure Data | TODO: Add certification |
TODO |
[Add credential] |
| AI Engineering | TODO: Add certification |
TODO |
[Add credential] |
| Solution Architecture | TODO: Add certification |
TODO |
[Add credential] |
- A public reference architecture for an enterprise analytics platform
- A sanitized full-stack workflow application with authentication and dashboards
- A practical Power BI learning hub with videos, books, documentation, and guided projects
- Reusable templates for requirements traceability, architecture decisions, peer review, and deployment readiness
- AI-assisted knowledge and document workflows with responsible evaluation patterns
Language statistics reflect public repository code volume, not the full range or depth of my professional capabilities.
feat(profile): establish senior engineering and architecture positioning
feat(impact): add verified outcomes and capability narrative
feat(portfolio): publish five sanitized project case studies
refactor(site): align GitHub Pages structure and visual system
feat(contact): add professional footer metadata and final link validation
Chisom Okoye
Senior Data Engineer | Solution Architect | Digital Transformation Lead
Turning complex business problems into trusted data products and scalable digital solutions.
Explore my work | Connect on LinkedIn
I am interested in opportunities and collaborations involving:
- Enterprise data engineering and analytics platforms
- Power BI and Microsoft Fabric delivery
- Solution architecture and digital transformation
- AI-enabled business applications
- Full-stack Python development
- Technical leadership, mentoring, and community enablement
Contact: Email me or connect with me on LinkedIn.
