About JD Data Solutions
One architect, 25 years, and the discipline most data projects skip
Who You're Hiring
JD Data Solutions is one person: me, Jim Frayer. That's deliberate. When you engage JDDS, you get a 25-year enterprise data architect doing the actual work, not a partner who sells the project and then staffs it with juniors.
Most data platforms fail before a single line of code gets written, when nobody nails down what the business actually needs. I've spent my career making sure that doesn't happen. I founded JD Data Solutions in 2013 to bring that discipline to organizations that can't afford a failed build.
I design and build enterprise data warehouse and lakehouse platforms that turn fragmented data into decision systems the business actually trusts. I've led Data Vault 2.0 and Medallion-style architectures for financial services, healthcare, and manufacturing clients: consolidating source systems, cutting cloud spend by up to 70%, and standing up self-service analytics for business users.
I'm typically brought in when an organization needs someone to define the data strategy, stand up a scalable warehouse or lakehouse from scratch, and leave behind clear standards, documentation, and patterns the team can run with long after I'm gone.
Credentials & Toolset
Certifications
Certified Data Vault 2.0 Practitioner (CDVP2), Data Vault Alliance. Erwin Data Modeling, certified. Professional training in Ralph Kimball dimensional modeling and Bill Inmon's Corporate Information Factory.
Cloud Platforms
Snowflake, Databricks, Microsoft Fabric, BigQuery, AWS, Azure, and Google Cloud. Data Vault 2.0 and Medallion Lakehouse architectures, with cloud cost optimization built into the design.
Databases & Modeling
Oracle, Teradata, Netezza, Greenplum, and PostgreSQL, including legacy-to-cloud migration. Expert SQL. Conceptual, logical, and physical modeling in Erwin, grounded in DAMA-DMBOK2.
Industries
Financial services, healthcare, and manufacturing, including regulated environments where standards, lineage, and documentation are not optional.
How I Work
Jim Frayer
Principal Data Architect & Founder
Requirements first, always. I sit with the business stakeholders and document what they actually need before any schema gets designed, then translate that into conceptual, logical, and physical models the technical team can build against. I do the work myself, I explain it in plain language, and I leave behind documentation your team can run with.
Accepting 100% remote contract and full-time engagements (US, CST hours). Send a message or connect on LinkedIn.
Ready to Talk Through a Project?
Tell me what you're building, or what's broken. I'll tell you honestly whether I can help.
