Capabilities

What I deliver in Data Cloud

A Customer Data Platform is only as good as its architecture. I design Data Cloud implementations that are unified, governed and activation-ready.

Assess sources and design ingestion — batch and streaming Data Streams, mapping, validation and reconciliation.

Data Cloud architectureData StreamsBatch & streaming ingestionData mappingData validationData Lake Objects

Translate source systems into a scalable customer-centric model across DLOs, DMOs and Unified DMOs.

Data Lake Objects (DLO)Data Model Objects (DMO)Unified DMOsCustomer 360 modelHarmonization

Match and reconcile records across systems into a single Unified Individual, with a validated identity graph.

Match rulesReconciliation rulesExact & fuzzy matchingIdentity graphUnified IndividualDuplicate management

Turn raw data into decision-ready metrics — CLV, AOV, RFM, affinity and engagement scoring at profile and segment level.

Customer Lifetime ValueAverage Order ValuePurchase frequencyProduct affinityEngagement scoringRFM analysis

Build precise, insight-driven audiences and activate them to Marketing Cloud, Personalization and external destinations.

Behavioral segmentationLifecycle segmentsMarketing Cloud activationPersonalization activationExternal destinationsReal-time activation

Data-space-aware governance, consent and privacy — integrated cleanly with CRM, web, commerce and external data.

Data SpacesConsent & privacyData retentionData lineageCRM integrationAPI & event ingestion

Salesforce Data Cloud (Data 360) architect & consultant