👋 Hi, I’m Gage Johnson
Data Consultant specializing in enterprise data systems, ETL workflows, and large-scale system migrations. I focus on translating complex business requirements into reliable data architecture and cloud-based technical solutions.
My work centers on enterprise platform implementations where data accuracy, system architecture, and operational readiness determine the success of the system.
I work directly with architects, engineers, and business stakeholders to ensure systems launch with reliable data structures, consistent master data, and stable integrations. This includes mapping functional requirements into technical system design, validating large datasets, and ensuring accurate data movement across platforms.
This work sits directly at the intersection of enterprise consulting and data engineering—where reliable systems depend on well-structured data pipelines and disciplined implementation practices.
💼 My Role
I support large enterprise software implementations involving complex data models, system integrations, and cross-functional teams.
My work focuses heavily on the data layer of these implementations, ensuring systems launch with trusted data and stable architecture.
- Designing and validating ETL workflows used during system migrations
- Mapping legacy data structures into modern enterprise platform models
- Supporting master data governance across operational systems
- Coordinating with engineers and architects to resolve technical issues during implementation
- Leading structured data validation and QA cycles before go-live
These implementations often span multiple business units and involve large volumes of operational data. The focus is always the same: ensure the system launches with accurate data and predictable behavior.
Managers and project leaders rely on me to bring structure, preparation, and technical clarity to high-stakes delivery environments.
💻 Technical Work
Alongside consulting work, I build and deploy technical systems to strengthen my engineering capabilities and deepen my understanding of modern cloud infrastructure.
This site itself is deployed on AWS and forms part of a broader effort to build practical experience with data systems, backend development, and cloud architecture.
- Programming: Python, JavaScript (React.js, Express.js)
- Data Systems: SQL, PostgreSQL, relational modeling
- Backend Development: Node.js, Express, REST APIs
- Cloud Infrastructure: AWS (S3, EC2, IAM, VPC, CloudFront, etc. SAA-C03)
- Engineering Workflow: Git/GitHub, CI/CD concepts, Docker fundamentals
With a strong commitment to learning these skills will only continue to expand! :)
🚀 Featured Work
Portfolio Platform on AWS
Designed and deployed this website using AWS cloud infrastructure with a focus on clean architecture, maintainable code structure, and scalable hosting.
Full-Stack Engineering Projects
Applications focused on building reliable data-driven systems, including API integrations, relational database design, and backend service architecture.
AWS Architecture Labs
Hands-on infrastructure labs covering networking, identity and access management, storage systems, and cloud deployment architecture.
🎯 Direction
I plan to return to school to pursue a Master’s in Computer Science, continuing to deepen my technical foundation in data engineering, distributed systems, and cloud infrastructure.
“No man ever steps in the same river twice, for it’s not the same river and he’s not the same man.” — Heraclitus