Anjukrishna A R

Salesforce-certified Data Cloud Developer with 3+ years of hands-on experience at Deloitte USI Consulting, specializing in Salesforce Data Cloud (Data 360) implementations. Deep expertise in configuring Data Streams, building Data Model Objects (DMOs) and DLO configurations, designing Identity Resolution rulesets, developing Batch Data Transforms (BDTs), writing SQL-based Calculated Insights, and building Segments for downstream Activation including Activation-Triggered Flows. Delivered scalable customer data solutions for global clients including Chanel, supporting unified profiles, consent management, and zero-copy integrations.

Actively upskilling in Agentforce, Semantic Layer, Data Kits, Dynamic Retriever Filters, and Notebook AI (Spring '26). Strong collaborator in Agile-Scrum environments with demonstrated ability to document structured field observations and Voice of Customer (VoC) insights for product and engineering teams.

Analyst | Salesforce Data Cloud Developer at Deloitte USI Consulting (2023-02 – Present)

• Data Cloud Architecture & Configuration: Designed and configured end-to-end Salesforce Data Cloud (Data 360) solutions for enterprise clients including Chanel, managing unified customer profiles across 100,000+ records; documented customer data schemas, DLO configurations, and agent designs in a form actionable by Product & Engineering teams.
• Data Modeling & DMOs: Built and maintained Data Model Objects (DMOs) and Data Lake Object (DLO) configurations, establishing relationships between standard and custom objects to support accurate customer 360 views.
• Identity Resolution: Designed and tuned Identity Resolution rulesets to unify customer profiles across multiple data sources, reducing duplicate records and improving match accuracy.
• Batch Data Transforms (BDTs) & Calculated Insights: Developed Batch Data Transforms and SQL-based Calculated Insights (joins, aggregations, window functions) to derive actionable audience signals for downstream activation.
• Segmentation, Activation & Triggered Flows: Created audience segments and activation pipelines including Activation-Triggered Flows; configured activation targets and managed consent management frameworks within Data 360.
• Zero-Copy & External Data Integrations: Integrated Salesforce Data Cloud with MuleSoft and external platforms including BigQuery, applying zero-copy integration patterns to enable real-time data access without duplication.
• AI Grounding & Agentforce (Learning): Currently upskilling in AI-ready data foundations including unified profiles and structured data layers to support RAG pipelines and Agentforce grounding use cases; actively exploring Data Kits, Dynamic Retriever Filters, and Notebook AI (Spring '26 features).
• Field Observations & VoC Documentation: Documented structured field observations — ingestion gaps, transform errors, activation failures — and contributed Voice of Customer (VoC) insights to guide product roadmap discussions with senior engineers.
• Marketing Cloud (Secondary Focus): Worked on Automation Studio, Journey Builder, Email Studio.
• Analytics & Reporting: Leveraged BigQuery and Looker for customer analytics and campaign performance reporting.
• UAT, Deployment & Documentation: Supported testing, production fixes, and authored Knowledge Articles and best practices for reuse across project teams.
• Agile Delivery: Managed tasks via Azure Boards and Jira in Agile-Scrum delivery model.

B.Sc in Computer Science – University of Calicut (2019-06 – 2022-03)