Ramya Durgam

Results-driven SAP Analytics & AI Engineer with 2+ years of experience delivering enterprise-scale analytics and AI solutions using SAP Datasphere, SAP HANA, SAP Analytics Cloud (SAC), SAP BTP, Databricks, Python and SQL. Experienced in designing semantic models, enterprise data warehouses, Spaces, Replication Flows, Data Flows, Calculation Views, SQLScript optimization, and governed data products. Hands-on expertise in Retrieval-Augmented Generation (RAG), LangChain, LangGraph, Agentic AI, prompt engineering, embeddings, vector search, and conversational analytics.

Proven success in building 100+ KPIs, scalable dashboards, and AI-powered enterprise solutions.

SAP Analytics and AI Engineer at Tata Consultancy Services (2024-06 – Present)

Client: SAP

• Designed end-to-end enterprise analytics solutions using SAP Datasphere, SAP HANA Cloud, SAP Analytics Cloud, and Databricks.
• Developed governed semantic models, analytical models, reusable business entities, and enterprise KPIs.
• Implemented Datasphere Spaces, Data Flows, Replication Flows, and data-sharing patterns.
• Integrated SAP and non-SAP data sources while enforcing governance using DAC and Collibra.
• Built SAC dashboards enabling self-service analytics and executive reporting.
• Worked directly with business stakeholders through requirement gathering, Agile delivery, UAT, and production support.
• Built Agentic AI workflows using LangGraph and LangChain.
• Implemented Retrieval-Augmented Generation (RAG) over governed enterprise semantic models.
• Designed metadata-driven grounding, NL2SQL, prompt engineering, embeddings, vector retrieval, and AI guardrails.
• Integrated Databricks SQL with LLMs to generate accurate conversational business insights.
• Implemented evaluation workflows, validation checks, safe tool execution, and observability for AI responses.
• Led analytics for enterprise ticketing platform handling 500K+ tickets and 1.6M+ events using SAP HANA & SAC.
• Delivered 100+ business KPIs in 5 months by translating client requirements into analytical solutions.
• Developed 5+ interactive SAC dashboards with live data integration and advanced visuals (KPI tracking, performance trends, word clouds).
• Implemented data security via Analytical Privileges & role-based access.
• Acted as primary client-facing analytics lead, driving KPI design and stakeholder reporting.
• Built PySpark ETL pipelines ingesting 1M+ SAP HANA records into Databricks.
• Implemented Bronze–Silver–Gold architecture with Unity Catalog governance.
• Automated deployments using Azure DevOps CI/CD pipelines.
• Published curated enterprise datasets for advanced analytics.

Bachelor of Technology in Computer Science and Engineering – JNTUA College of Engineering (2020-11 – 2024-05)