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LucidDataMind
Enterprise portfolio

Built in production. Proven at scale.

20 years of enterprise data engineering across ERP, POS, loyalty, ecommerce, supply chain, and marketing platforms. Every diagram below represents a real system built, deployed, and maintained in production.

20+
Years experience
200+
Data integration solutions built
15+
Systems integrated
The Enterprise Domains

From enterprise delivery to autonomous agent suites

Twenty years of enterprise delivery, packaged as autonomous agent suites — the same expertise, deployable on your stack without standing up a team. These are the 4enterprise-delivery suites; the fleet runs to 6 in total.

Supply Chain Integration Suite

Built it

A standardized warehouse interface contract deployed across every warehouse node. Every node receives identical master files. Every inbound transaction routes through a common staging schema back to the ERP. Real-time purchase order replication via Azure Synapse → Delta Lake distributing to 3PL partners, replacing nightly FTP batch. Dual-path inventory feeding both operational integration and cloud archive simultaneously.

Built as agents

4 agents built for this domain, deployable against your systems — warehouse reconciliation, PO distribution, freight status, and supplier compliance risk. They run in your environment, not on a platform I own.

Warehouse Sync AgentBuiltPO Distribution AgentBuiltFreight Signal AgentBuiltSupplier Risk AgentBuilt

Loyalty & Customer Intelligence Suite

Built it

A complete loyalty ecosystem for millions of customers — points accrual from raw POS transactions, voucher generation and distribution, customer master profile merging identity across CRM, ecommerce, POS, and WMS. RFM scoring and behavioral segmentation feeding the marketing automation platform. Email engagement facts from 7 event types across billions of rows, year-partitioned, enriching the golden customer record.

Built as agents

5 agents built for this domain, deployable against your systems — transaction processing, reward generation, customer identity resolution, engagement enrichment, and campaign segmentation. They run in your environment, not on a platform I own.

Points Engine AgentBuiltVoucher Distribution AgentBuiltCustomer Master AgentBuiltEmail Engagement AgentBuiltRFM Segmentation AgentBuilt

Commerce & Catalog Intelligence Suite

Built it

End-to-end ecommerce pipeline — product catalog from PLM through multi-hop SSIS staging into the item master, then distributed to POS registers, ecommerce, PIM, and ERP. Web order lifecycle: e-commerce platform → fraud detection → OMS → payment settlement → a split fulfillment path. ESB dual-path for real-time POS rollups and GL transactional posting. Loyalty promotions synchronized across all channels to registers in real time.

Built as agents

4 agents built for this domain, deployable against your systems — catalog consistency, order health, inventory risk, and promotion propagation. They run in your environment, not on a platform I own.

Catalog Sync AgentBuiltOrder Intelligence AgentBuiltInventory Demand AgentBuiltPromotion Sync AgentBuilt

Platform Modernization Suite

Built it

Full enterprise data platform modernization — all systems unified under a medallion architecture with Loop automation for Bronze ingestion, Materialized Lake Views for Silver transformation, pipeline-driven Gold with star schema, and a lakehouse semantic model with Data Agents and DirectLake Power BI. Migrated 200+ SSIS packages and 15+ integrated systems into a governed, scalable foundation.

Built as agents

4 agents built for this domain, deployable against your systems — ingestion monitoring, data-quality validation after every transformation, upstream schema-drift detection, and semantic model performance. They run in your environment, not on a platform I own.

Pipeline Health AgentBuiltData Quality AgentBuiltSchema Drift AgentBuiltSemantic Model AgentBuilt

The Agent Mesh

Domain suites, one intelligence mesh

External Signals

Public Intelligence Layer

Hazard WatchContract IntelligenceEntity RiskEconomic Signal

My public data intelligence layer

Your Data Foundation

Enterprise Data Foundation

Loop Automation → BronzeMLVs → SilverPipelines → GoldSemantic Model + Data Agents

Domain Agent Suites

Supply Chain

Loyalty

Commerce

Platform

Morning Briefing Agent

One email at 6am with everything that changed overnight.

My public data layer feeds risk and market signals into your enterprise foundation. Domain agents deploy onto your clean data. The Morning Briefing Agent synthesizes everything into one daily digest. This is what I build.


Architecture

The architecture behind the suites

Every domain suite is built on real architecture diagrams from production systems. Explore the technical foundations.

Loyalty & CRMLegacy

Loyalty customer sync + email fact enrichment

Customer profiles from the CRM and the merchandising system converge in the central data warehouse. Email engagement facts from the marketing automation platform arrive via FTP into a staging SQL instance, enriching customer records before syncing back to the CRM.

CRMMerchandisingSQL DWAzure SQLFTPMarketing Automation
CRMCustomer profilesMerchandisingLegacy profilesCentral DWCustomer masterMulti-source mergeGolden recordEMAIL FACT ENRICHMENTMarketing AutomationEmail engagementFTPBatch filesAzure SQLEmail stagingEnrichCRMEnriched profilesBidirectional syncMULTI-SOURCE CUSTOMER MASTER: CRM + Merchandising converge in Central DWEmail facts enrich via FTP → Azure SQL → merge back. Bidirectional CRM sync.

Pattern: Multi-source customer master · Email fact enrichment · Bidirectional CRM sync

Loyalty & CRMLegacy

Loyalty voucher distribution

Voucher data originating in the CRM flows through a cloud SQL staging layer into the central data warehouse, then distributes to the merchandising system for redemption tracking and the e-commerce platform for online application.

CRMAzure SQLSQL DWMerchandisingE-commerce
CRMVoucher originAzure SQLStaging layerCentral DWVoucher masterDistribution hubLifecycle trackingMerchandisingRedemptiontrackingE-commerceOnline voucherapplicationBidirectional: CRM ↔ Central DW — voucher status syncPATTERN: Central DW as distribution hub · Bidirectional CRM integration · Voucher lifecycle

Pattern: Bidirectional CRM integration · Central DW as distribution hub · Voucher lifecycle tracking

Data pipelinesLegacy

Email engagement tracking · Billion-row pipeline

The marketing automation platform pushes 7 email event types via FTP into a SQL repository. Due to volume (billions of rows), email fact tables are partitioned by year. At runtime, closed years are pre-compiled and unioned with the live year, then merged into a single-row-per-address rollup table.

Marketing AutomationFTPSQL ServerPartitioned fact tablesFact rollups
Marketing Automation7 email event typesSends · Opens · Clicks...FTPBatch pushSQL ServerEmail repositoryY1Y2Y3Y4Y5Y6Y7Year-partitioned EmailFact tablesRUNTIME PROCESSINGClosed yearsPre-compiled viewsLive yearActive yearUNION ALLFull email historyAll years combinedMERGEEmailFactRollups← 1 row per email addressBillions of rows7 event types · year-partitionedPartitioned by year

Pattern: High-volume FTP ingestion · Year-based table partitioning · Incremental rollup merge · One row per email address

Legacy patternsLegacy

Customer & Loyalty Data Platform

The complete enterprise data platform — 200+ data integration pipelines integrating loyalty points engine, customer master profile across CRM/e-commerce/POS/WMS, RFM segmentation, GL reconciliation pipeline, and email fact enrichment across billions of rows. The foundation for both the Loyalty & Customer Intelligence Suite and the Commerce & Catalog Suite.

SSISSQL ServerCRMPower BILoyalty EngineCustomer MasterRFM SegmentationGL ReconciliationEmail Facts
ERPMerchandisingCRMPOSOMSPLMPIMSSIS200+ packagesIntegration layerCentral DWSQL ServerHub & spokeStar schemaFTP: 3PL partnersFTP: Email eventsPower BISSAS CubesCRMAzure SQL stagingAzure Service BusIntl partner feedsSourceStagingDW HubDestinationFTP/File

Pattern: 200+ data integration solutions · Full-stack integration · Foundation for domain agent suites

Legacy patternsLegacy

Enterprise hub-and-spoke ETL

Full enterprise integration architecture. 20+ source systems normalized through a central SQL Server data warehouse, serving downstream analytics, CRM, and partner networks.

ERPAzure Service BusSQL Server DWSSISCRMPower BISSASFTP partners
ERPMerchandisingCRMPOSOMSPLMPIMSSIS200+ packagesIntegration layerCentral DWSQL ServerHub & spokeStar schemaFTP: 3PL partnersFTP: Email eventsPower BISSAS CubesCRMAzure SQL stagingAzure Service BusIntl partner feedsSourceStagingDW HubDestinationFTP/File

Pattern: Hub-and-spoke ETL · Central DW · FTP batch ingestion · SSIS pipelines

Modern lakehouseModern

Microsoft Fabric · Metadata-driven medallion pipeline

Fully metadata-driven ingestion pipeline built on Microsoft Fabric. A control table stores source connection strings, schemas, and destination mappings — a ForEach pipeline iterates every entry to load all sources into the Bronze lakehouse without a single hardcoded pipeline per source. Materialized Lake Views transform into Silver. A Copy Data pipeline builds a star schema with surrogate keys into Gold. An enterprise semantic model with DirectLake serves Power BI reports, Data Agents, and natural language chat.

Microsoft FabricSQL ServerFabric PipelineForEachBronze LakehouseMaterialized Lake ViewsSilver LakehouseGold LakehouseStar schemaPower BISemantic modelData AgentsDirectLake
Microsoft Fabric · Medallion lakehouse · Metadata-driven ingestion → Bronze → Silver → Gold → Semantic model → AI agentsSourcesSQL ServerSource ASQL ServerSource BSQL ServerSource CSQL ServerSource DSQL ServerSource N···OrchestrationIngestion control tableCategoryConnectionSrc schema · tableSalesconn_str_Adbo.transactionsInventoryconn_str_Bdbo.productsFinanceconn_str_Cdbo.gl_entriesFabric pipelineForEach activityIterates all control table rowsCopy Data → Bronze lakehouse per entryBronzeBronze lakehouseRaw · Source-faithful · Append-only · Delta format · Partitioned by source + load dateMaterialized Lake Views · Transform + normalizeSilverSilver lakehouseCleansed · Deduplicated · Typed · Business rules · Materialized Lake View definitionsPipeline · Copy Data · Surrogate keys · Star schema loadGoldGold lakehouse · Star schemaDim tablesSK · SCD · AttributesFact tablesSurrogate keys · Measures · GrainDim tablesSK · SCD · AttributesSemantic modelEnterprise semantic model · Power BIMeasures · Hierarchies · Row-level security · Certified dataset · DirectLake modeConsumePower BIReportsDashboardsPaginatedData AgentsFabric AIChat / Q&ANL over data

Pattern: Metadata-driven ingestion · Control table ForEach · Materialized Lake Views · Star schema with surrogate keys · DirectLake semantic model · AI agents over data

Modern lakehouseModern

Full enterprise data platform · Modernized

The complete "after" picture — all 15 enterprise systems unified under Azure Synapse Analytics with a Bronze/Silver/Gold medallion architecture, Delta Lake storage, and a clean serve layer. Replaces point-to-point SSIS integrations with a single governed platform.

Azure SynapseData FactorySparkDelta LakeBronze/Silver/GoldERPCRMPOSOMSPIMMerchandisingPower BIAzure SQL
ERPCRMLoyaltyE-commercePOSOMSMerchandisingPIMPLMData Factory · Unified IngestionAzure Synapse AnalyticsBronzeRaw ingestionSchema-on-readDelta Lake formatADLS Gen2SilverCleaned & typedBusiness rulesSpark notebooksGoldStar schemaAggregated factsServe LayerAzure SQLServerless poolAPI endpointsCold archiveCool/Archive tierPower BIAzure SQL appsCRM syncAPI consumers3PL exportsFULL MEDALLION: Unified ingestion → Bronze/Silver/Gold → Governed serve layer

Pattern: Azure Synapse workspace · Full medallion · Unified ingestion · Cold archive tier · Serve layer

Commerce & fulfillmentHybrid

End-to-End Ecommerce Integration

Full ecommerce data integration: product catalog from PLM through multi-hop staging to item master, distributed to POS registers, the e-commerce platform, PIM, and ERP. Web order lifecycle through fraud detection, OMS, payment settlement, and a split fulfillment path. ESB dual-path for real-time POS rollups and GL posting. Loyalty promotions synchronized end-to-end.

ESBE-commerceOMSPOSPaymentsERPFraud ScreeningPLMPIM
E-commerceOrder created1Fraud ScreeningFraud check2OMSOrder managementOrchestration hub3PaymentsPayment settle4FULFILLMENT SPLITERP · fulfillmentWarehouse + GL posting53PL · fulfillment3PL logistics partner6POS ROLLUP PATHPOSTransaction dataESB30-min rollupsWorkforce MgmtWorkforce mgmtANALYTICS PATHMerchandisingSales auditCentral DWReportingFUTURE STATEERP GL direct posting replaces batch FTP files · Real-time inventory sync · Delta Lake archiveORDER LIFECYCLE: Commerce → Fraud → OMS → Payment → Fulfillment (split path) → Analytics

Pattern: Order lifecycle · Multi-channel catalog distribution · POS sync · ESB dual-path integration

Commerce & fulfillmentHybrid

Web order fulfillment · Current + future state

Full web order lifecycle: the e-commerce platform creates orders → fraud detection → OMS orchestrates fulfillment → payment settlement → a split fulfillment path. An ESB handles 30-minute POS rollups to workforce management. Future state annotations show ERP GL direct posting replacing batch files.

E-commerceFraud ScreeningPaymentsOMSFTPERP3PLPOSESBMerchandisingSQL DWWorkforce Mgmt
E-commerceOrder created1Fraud ScreeningFraud check2OMSOrder managementOrchestration hub3PaymentsPayment settle4FULFILLMENT SPLITERP · fulfillmentWarehouse + GL posting53PL · fulfillment3PL logistics partner6POS ROLLUP PATHPOSTransaction dataESB30-min rollupsWorkforce MgmtWorkforce mgmtANALYTICS PATHMerchandisingSales auditCentral DWReportingFUTURE STATEERP GL direct posting replaces batch FTP files · Real-time inventory sync · Delta Lake archiveORDER LIFECYCLE: Commerce → Fraud → OMS → Payment → Fulfillment (split path) → Analytics

Pattern: Order lifecycle · Fraud + payment integration · Split fulfillment path · Current + future state documented

Commerce & fulfillmentHybrid

ESB integration · POS sales + promotions

CRM loyalty promotions push to the e-commerce platform and down to POS registers. The ESB acts as the integration hub for two concurrent paths: 30-minute POS rollup files to workforce management, and transactional GL files to the ERP via package APIs.

CRME-commercePOSESBWorkforce MgmtOMSERPAzure SQL
PROMOTION LIFECYCLECRMPromotionsE-commerceOnline promosPOSRegister promosESBIntegration hubDual-path orchestrationPOS dataOMSWeb ordersPATH 1: 30-MINUTE ROLLUPSWorkforce MgmtWorkforce managementEvery 30 minPATH 2: GL TRANSACTIONALERPGL posting via APIAzure SQLStagingESB DUAL-PATH: Workforce Mgmt 30-min POS rollups + ERP GL transactional posting · Promotion lifecycle mgmt

Pattern: ESB dual-path: 30-min rollups + ERP GL transactional posting · Promotion lifecycle management

Legacy patternsHybrid

Sales transaction pipeline · Hybrid state

POS transaction flow showing three eras running simultaneously: in-store hardware stack, Azure Service Bus real-time event streaming, legacy SSIS batch analytics path, and the emerging ERP/Delta Lake future state — all operating in parallel.

POSStore DatabaseAzure Service BusSSISMerchandisingSQL DWAzure SQLCRMERPDelta Lake
ERA 1: In-store hardwareERA 2: Real-time eventsERA 3: Lakehouse futurePOSPOS registersStore DatabaseIn-store hardwareAzure Service BusReal-time streamingSSIS batch pathLegacy analytics ETLSales AuditCentral DWAzure SQLStaging instanceCRMCX + Loyalty (dual)ERPFuture GL targetDelta LakeFuture stateTHREE-ERA COEXISTENCE: In-store hardware + real-time events + emerging lakehouse — all running in parallel

Pattern: Hybrid three-era coexistence · Real-time events + SSIS batch · CRM dual role (CX + loyalty)

Commerce & fulfillmentHybrid

Inventory integration · Dual-path pattern

ERP inventory data simultaneously feeds the primary integration path (SSIS staging → OMS → CRM) and branches to Azure Data Lake Gen2 for cloud archive. A clean example of the dual-path pattern used during modernization transitions.

ERPSSISOMSCRMAzure Data Lake Gen2
ERPInventory dataPRIMARY INTEGRATION PATHSSIS stagingTransform + mapOMSFulfillmentE-commerceCommercePARALLEL CLOUD ARCHIVEAzure Data Lake Gen2Cloud archive · Delta formatDUAL-PATH PATTERN: Same ERP source feeds both operational integration and cloud archive simultaneously

Pattern: Dual-path: primary integration + parallel cloud archive from same source

Legacy patternsHybrid

Product item creation pipeline

End-to-end product data integration: from PLM design through staging hops into the item master, then distributed to POS, ecommerce, and product content systems. Shows the hybrid moment — legacy SSIS paths running alongside the emerging Azure Data Lake path.

PLMSSISMerchandisingPIMPOSOMSERPAzure Data LakeDelta Lake
PLMProduct designSSIS stagingHop 1: transformItem MasterMerchandising DBPOSPOS registersOMSWeb fulfillmentPIMProduct contentERPFinancial masterEmerging cloud pathAzure Data LakeGen2 + Delta LakeHYBRID: Legacy SSIS + emerging lakehouse

Pattern: Multi-hop SSIS staging · Item master distribution · Hybrid legacy-to-cloud

Legacy patternsLegacy

Multi-warehouse supply chain integration

Designed and maintained a standardized warehouse interface contract deployed across every warehouse node. Every node receives identical master file structure (product, location, distributions). Every inbound transaction (receipts, shipments, adjustments, inventory sync) routes through a common SSIS staging schema back to the ERP. The contract is the architecture — adding a new warehouse is a configuration, not a build.

ERPSSISSQL ServerWMS3PLDCFreight forwarderWebstoreFTPNightly reconciliation
Multi-warehouse supply chain integration · ERP hub → warehouse nodes · Standardized interface contract per nodeOutbound to warehouseMaster product fileMaster location fileOutbound distributionsERP systemMaster of record · Item master · LocationsOrders · Allocations · InventoryInbound from warehouseReceipts · ShipmentsInventory adjustmentsNightly inventory syncSSIS integration + staging layerTransform · Route · Schedule · AuditWarehouseInternal · WMSWebstoreInternal · eComm3PLWarehouse + webstoreRegional DC3PL · DCFreight fwd.Intl · Customs→ outboundProduct masterLocation masterDistributionsAllocations→ outboundProduct masterLocation masterDistributionsWeb orders→ outboundProduct masterLocation masterDistributionsTransfer orders→ outboundProduct masterLocation masterDistributionsTransfer orders→ outboundProduct masterShipment plansPO detailsCustoms data← inboundReceiptsShipmentsInv. adjustmentsNightly inv. syncCycle counts← inboundOrder statusShipmentsInv. adjustmentsNightly inv. syncReturns← inboundReceiptsShipmentsInv. adjustmentsNightly inv. syncWeb order status← inboundReceiptsShipmentsInv. adjustmentsNightly inv. syncQuality holds← inboundBooking confirmShipment statusBill of ladingCustoms clearanceETA updatesStandardized interface contract — same pattern, every nodeIdentical master file structure per node · Common inbound transaction schema · Nightly reconciliation keeps ERP authoritativeERP hubInternal3PL partnersFreight fwd.Inbound txnsStaging layer

Pattern: ERP-authoritative hub · Standardized interface contract · SSIS staging layer · Nightly inventory reconciliation across all nodes

Legacy patternsHybrid

Supply Chain Integration

Standardized warehouse interface contract deployed across every warehouse node. Real-time purchase order replication via Azure Synapse → Delta Lake to 3PL partners, replacing nightly FTP batch. Dual-path inventory simultaneously feeding operational integration and cloud archive.

SSISSQL ServerAzure SynapseDelta LakeERPFTP3PL IntegrationInterface Contract
Multi-warehouse supply chain integration · ERP hub → warehouse nodes · Standardized interface contract per nodeOutbound to warehouseMaster product fileMaster location fileOutbound distributionsERP systemMaster of record · Item master · LocationsOrders · Allocations · InventoryInbound from warehouseReceipts · ShipmentsInventory adjustmentsNightly inventory syncSSIS integration + staging layerTransform · Route · Schedule · AuditWarehouseInternal · WMSWebstoreInternal · eComm3PLWarehouse + webstoreRegional DC3PL · DCFreight fwd.Intl · Customs→ outboundProduct masterLocation masterDistributionsAllocations→ outboundProduct masterLocation masterDistributionsWeb orders→ outboundProduct masterLocation masterDistributionsTransfer orders→ outboundProduct masterLocation masterDistributionsTransfer orders→ outboundProduct masterShipment plansPO detailsCustoms data← inboundReceiptsShipmentsInv. adjustmentsNightly inv. syncCycle counts← inboundOrder statusShipmentsInv. adjustmentsNightly inv. syncReturns← inboundReceiptsShipmentsInv. adjustmentsNightly inv. syncWeb order status← inboundReceiptsShipmentsInv. adjustmentsNightly inv. syncQuality holds← inboundBooking confirmShipment statusBill of ladingCustoms clearanceETA updatesStandardized interface contract — same pattern, every nodeIdentical master file structure per node · Common inbound transaction schema · Nightly reconciliation keeps ERP authoritativeERP hubInternal3PL partnersFreight fwd.Inbound txnsStaging layer

Pattern: Warehouse interface contract · Real-time PO distribution · Dual-path inventory · FTP batch replacement

Modern lakehouseModern

Purchase order distribution · Lakehouse pattern

Real-time ERP purchase order replication into a Bronze/Silver medallion pipeline via Azure Synapse. Delta Lake as the export hub distributing POs to 3PL partners — replacing nightly FTP batch with event-driven distribution.

ERPAzure SynapseData FactoryApache SparkDelta LakeAzure Data Lake Gen23PL partnersFreight forwarder
ERPPurchase ordersReal-timeAzure SynapseData FactoryApache SparkOrchestrationBronzeRaw PO replicationSilverCleaned + validatedDelta Lake · ADLS Gen2ACID transactions · Export hub3PL partner 13PL partner 23PL partner 3Freight forwarder3PL distributionMEDALLION PIPELINE: Bronze → Silver → Delta Lake export

Pattern: Real-time replication · Bronze/Silver medallion · Delta Lake 3PL export hub · ACID transactions

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