Data Lakehouse Platform for Analytics, Real-Time Operations and On-Prem AI

A governed data lakehouse that unifies scattered enterprise data for analytics, near real-time operations and secure on-prem AI.

AI & Data

Single sourceof truth across data domains

On-premLLM and agentic AI

Challenges/Objectives

Data scattered across CRM, marketing analytics, Oracle, web/app systems, files, S3 and NAS, with inconsistent schemas and ingestion frequencies.
Poor data quality (duplicates, nulls, mismatched timestamps) and slow, manual reporting with unreliable insights.
High Oracle costs and performance bottlenecks, with no near real-time visibility into orders, fleet and delivery status.
Strict security, governance and compliance needs (HIPAA, PHI/PII) with limited lineage and metadata visibility.
Unstructured enterprise data not ready for LLMs and agentic AI, with no traceability from AI responses back to data, prompts and models.

Built a centralized, governed lakehouse that unifies all data sources, on Cloudera or fully on-prem.
Automated ingestion and orchestration with Airflow, plus CDC and streaming pipelines using GoldenGate, Kafka and Spark Streaming for near real-time data.
Bronze-Silver-Gold (medallion) data modelling with scalable PySpark/Spark transformations, delta detection, deduplication and upserts.
Enterprise governance with Atlas, Ranger and Kerberos for lineage, security and access control.
On-prem AI layer: chunking and embedding pipelines, vector search with Milvus/pgvector, RAG and agentic workflows with LangChain/LlamaIndex, and production inference with vLLM and full observability.

A single, trusted source of truth for customer, sales, operational, clinical and financial data.
Clean, analytics-ready datasets and faster insights through automated dashboards and KPIs.
Lower Oracle infrastructure cost and near real-time visibility that improves SLA adherence, routing and fleet efficiency.
Strong compliance posture with full lineage, audit logs and PHI/PII protection.
Trusted, traceable LLM and agentic AI grounded in enterprise data, with fewer hallucinations and no vendor lock-in.
A scalable foundation for future data growth, predictive analytics, fraud detection and ML.