LucidAgent
About

Built on Two Decades
of Real Engineering

LucidDataMind is a full-service data intelligence company founded on 20 years of hands-on engineering. We've built enterprise integration suites, cloud lakehouses, AI-powered analytics platforms, and consumer-facing market intelligence products — all in production, all at scale.

Our expertise spans the full data lifecycle: SSIS and ERP integrations, Microsoft Fabric medallion architectures, Power BI semantic models, Claude API integrations, and full-stack web applications. We don't just move data — we turn it into products that drive revenue.

From enterprise retail platforms processing millions of transactions to cannabis market intelligence serving an entire state — we build production systems across retail, cannabis, and SaaS verticals. Based in St. Louis, Missouri, working with clients nationwide.

20+

Years Experience

Enterprise data engineering across retail, cannabis, and SaaS verticals

DP-700

Certified

Microsoft Fabric Data Engineer Associate

Full Stack

Data to UI

Pipelines, lakehouses, AI analytics, and production web apps

St. Louis

Missouri

Based in the Midwest, building for clients nationwide

Why LucidDataMind

Built Different — Because the Foundation Is Real

The practitioner behind LucidDataMind spent 20 years as the data engineering and BI leader at a nationally recognized specialty retailer. Not as a consultant — as the person responsible for the entire data ecosystem running every single day. 200+ enterprise integration solutions spanning batch, near-real-time, and event-driven patterns. Every major enterprise system integrated: Dynamics 365 (Finance & Operations, Warehouse), Salesforce (Commerce Cloud, Marketing Cloud, Service Cloud, Loyalty), POS, ecommerce catalog/inventory/orders, warehouse (item master, POs, ASNs, shipments), GL posting and reconciliation. Cross-system sequencing, validation frameworks, dependency management — the full operational picture.

The customer data layer was built from scratch: Customer Master Profile with identity resolution, lead-to-customer pipelines, email engagement facts, RFM scoring, a loyalty points engine calculated from raw transaction behavior, and behavioral segmentation powering marketing automation across channels.

The Microsoft Fabric and modern lakehouse work builds on top of this foundation — not instead of it. When we design a lakehouse, build a pipeline, or stand up a semantic model — it comes from someone who has already solved these problems at enterprise scale, in production, for years.

  • Designed and operated a retail loyalty points engine calculating rewards from raw POS transaction data across millions of customer interactions
  • Built Customer Master Profile engine resolving identities across Salesforce, ecommerce, POS, and warehouse systems into a single unified record
  • Architected full ecommerce data pipeline: catalog, inventory, price books, orders, allocations, receipts — JSON/XML ingestion through to warehouse-ready dimensions and facts
  • Owned end-to-end WMS integration: item master, purchase orders, ASNs, shipments, and receipts across Dynamics 365 and central data warehouse
  • Built GL transaction posting and reconciliation pipeline connecting POS, ecommerce, and warehouse financial events to general ledger
  • Developed RFM scoring model and behavioral segmentation layer on top of unified customer transaction history, feeding Salesforce Marketing Cloud audience builds
Credentials

Verified Microsoft Credentials

CERTIFICATION

Fabric Data Engineer Associate

Earned Oct 2025

APPLIED SKILLS

Real-Time Intelligence with Microsoft Fabric

Earned Jun 2025

APPLIED SKILLS

Data Warehouse in Microsoft Fabric

Earned Jun 2025

CERTIFICATION

Power BI Data Analyst Associate

Earned Sep 2020

CERTIFICATION

Azure Data Fundamentals

Earned Sep 2020

Expired

CERTIFICATION

Azure Data Engineer Associate

Earned Oct 2020

COMING SOON

Fabric Analytics Engineer Associate

In Progress