01
Systems analysis
Map the people, process, data, constraints, and decision points before choosing a technical answer.
Technical Consultant | Systems Analyst | Business Systems Analyst
I turn ambiguous workflows into clear, testable systems.
I connect business context to requirements, data rules, implementation details, and practical documentation so the next decision is easier to understand and support.
Capabilities
From operating problem to usable solution
I work across the boundaries between business analysis, implementation detail, technical validation, and operational handoff.
02
Requirements and acceptance
Turn ambiguity into explicit rules, scenarios, acceptance criteria, and implementation-ready definitions.
03
Data quality and reconciliation
Preserve source meaning, route exceptions honestly, query controlled data, and reconcile reported results.
04
Implementation and handoff
Connect decisions to work, tests, corrections, and documentation that technical and business readers can use.
Selected work
Three projects across one connected workflow.
Together, the projects show how I move from workflow and data analysis, to implementation readiness, to integration reliability and troubleshooting.
01 - Workflow and dataSynthetic data
Workflow Intake Analysis Demo
Turn inconsistent intake into validated and review-required outputs without hiding uncertainty.
Focus: workflow analysis, data rules, Python and SQL processing, API contracts, testing, and traceability.
02 - Implementation lifecycleTwo related layers
Implementation Readiness and Support Transition
Connect a platform-neutral readiness model with a Jira and Confluence implementation covering requirements, dependencies, UAT, Bug correction, rollback, and handoff.
Focus: implementation judgment, Jira workflow design, validation, readiness decisions, and operational transition.
03 - Integration reliabilitySynthetic integration
SaaS Integration Reliability and Support Troubleshooting
Exercise source-to-target contracts, mapping, idempotency, ordering, retries, dead letter, replay, reconciliation, and incident response.
Focus: executable integration reliability, structured diagnostics, recovery, and troubleshooting.
How I work
Structured enough to trust. Practical enough to use.
I treat analysis as a chain: the business question shapes the rule, the rule shapes the implementation, and the result shows whether the approach holds.
- 01
Understand the operating context
Identify the people, process, systems, source authority, constraints, and decision boundary.
- 02
Define the contract
Translate ambiguity into requirements, data rules, mappings, assumptions, and acceptance criteria.
- 03
Test the important edges
Preserve exceptions, reconcile outputs, and distinguish supported facts from values that still need judgment.
- 04
Make the result usable
Document the reasoning and decisions so another person can review, implement, or support the work.
Professional background
Business context, translated into technical work
My background combines independent technical analysis with regulated business operations and years of client-facing problem solving. I translate that experience into requirements, data rules, technical documentation, and handoffs that business and technical teams can use.
That experience shapes how I work: clarify what a rule means, account for exceptions, document the decision, and leave the next person with something usable.
Tools and methods
Tools tied to practical project work
The projects connect analysis to Python, SQLite, SQL, APIs, Jira, Confluence, structured tests, reconciliation, and support documentation.
- Jira
- Confluence
- Python
- PowerShell
- SQLite
- SQL
- JSON Schema
- OpenAPI
- Postman
- Git and GitHub
- Requirements
- UAT
- Traceability
- Automated testing
Background
Education and Technical Training
My education combines a business foundation with hands-on technical training that supports work across systems, workflows, data quality, and technical problem solving.
Business foundation
Front Range Community College
Associate of Arts with Business Designation, 2015
Technical training
University of Denver
Cybersecurity Boot Camp, 240-hour completed program, 2022
Coursework
Additional coursework
Additional coursework at Colorado State University and the University of Northern Colorado
Continue the conversation
Review my work on GitHub or connect with me on LinkedIn.