Asmin Neupane

I’m a Senior Data Engineer with 6+ years of experience designing and optimizing enterprise-scale data platforms across healthcare, financial services, and capital markets. I focus on cloud-native batch and real-time pipelines, lakehouse architectures, and secure, governed solutions for analytics, machine learning, and business intelligence.

I’ve modernized data platforms by migrating on-prem workloads to cloud services, building enterprise batch/real-time/CDC pipelines, and optimizing ETL/ELT performance. In my recent roles, I’ve processed “millions of records daily,” improved ETL performance by “40%,” reduced infrastructure costs by “30%,” and lowered operational costs by “$300K+ annually.”

I also develop “AI ready data platforms” that support Generative AI, LLMs, and Retrieval-Augmented Generation (RAG). I’ve implemented CDC, DataOps, CI/CD, Infrastructure as Code (IaC), and modern data modeling practices, while using tools like Vertex AI, LangChain, and vector search to enable intelligent search and AI-driven analytics.

I’m experienced across the full lifecycle—from data modeling and warehouse design to monitoring, tuning, and governance. I partner with cross-functional teams, integrate REST APIs, and mentor engineers on Spark, Databricks, dbt, Snowflake, and SQL optimization to accelerate delivery.