Madhav Ghimire

Architected and led the enterprise data lakehouse reference architecture on AWS integrated with Databricks, designing medallion layers for HUD housing, grants, and program-integrity data domains. Built and optimized large-scale ELT pipelines using Databricks, and implemented Lakeflow Connect and declarative pipelines with data quality checks.

Led a maturity assessment of a BCBS health plan's data landscape and defined a strategic enterprise data transformation roadmap. Directed multi-cloud target architecture and built conceptual, logical, and physical data models for core domains, while deploying governance and semantic layers.

Led design and implementation of enterprise data models for a life science client, improving data integration efficiency by 30%+. Built AWS-based data warehouse solutions and established governance frameworks, while supporting Generative AI pilots.

Performed maturity assessment and designed target data architecture on Azure and AWS for a state Medicaid project. Implemented data governance by design using Microsoft Purview and built lakehouse pipelines with Databricks and ADF.

Performed maturity assessment and designed target data architecture on Azure with Databricks and Delta Lake. Implemented data quality controls and built dashboards and semantic models for enterprise reporting.

Built conceptual, logical, and physical data models in Erwin for healthcare domains and managed the Erwin Model Mart. Implemented data governance using Collibra and mapped metadata lineage across Informatica and Oracle.

Coordinated daily ETL operations for Medicaid Data & Analytics, ensuring Informatica PowerCenter workflows executed successfully. Served as primary liaison between business teams, engineers, and offshore developers.

Bachelor of Science in Life Science.