Ray Technical Consulting helps mid-market e-commerce, retail and operations-heavy businesses get their numbers right. Pipelines, warehousing, ERP integration, reporting and practical AI - built by an engineer who has run all of it in production, not just advised on it.
Six engagements that cover most of what a growing business actually needs - each one scoped, delivered, and documented. Pricing is quoted per engagement, so ask and you will get a written number.
A ranked, dollar-scored list of what is slow, what is broken and what to fix first - produced from your live systems rather than a questionnaire.
Ingestion to warehouse to tested models, with documentation, monitoring and a handoff your team can actually own. dbt, orchestration and CI included.
Orders, customers, products, payments and refunds flowing between your ERP, storefront and warehouse - with reconciliation reports your controller can read.
Consolidate overlapping BI tools, define each metric once, rebuild the dashboards that decisions depend on, and retire the spreadsheet reporting layer.
An honest answer on whether your data can support AI - then one bounded agent workflow shipped to production on your own infrastructure, with evals and rollback.
Senior ownership without a senior hire: roadmap, vendor decisions, hiring support, production coverage and hands-on delivery capacity each month.
Fixed scope, fixed fee, and a written definition of done before anything starts.
A short paid assessment of the live platform: pipelines, queries, data quality, costs and the decisions the business cannot currently make.
Ingestion, modeling and quality first. Everything downstream - reporting, forecasting, AI - is only as good as the layer underneath it.
One measurable result per phase, agreed up front: cost removed, hours returned, error rate down, revenue line up.
Monitoring, documentation and a named owner after go-live, so the platform does not quietly rot the moment the project ends.
You get the person doing the thinking and the person doing the work, in the same seat. No account manager relaying requirements, no junior team learning your business on your budget, and no handoff gap between the strategy and the build.
Background in brief: eight years owning a company's data platform end to end - ETL/ELT across multiple servers, Azure and AWS, Kafka and Event Hub streaming, dbt modeling, NetSuite ERP integration, BI delivery, SQL Server performance tuning, and LLM agent workflows running on self-managed infrastructure.
Most relationships start with an assessment and expand from there. If the assessment says you do not need the big project yet, that is what it will say.