Looking for a job

Madhu Ghimire

@madhughimire

Message

I build scalable healthcare data pipelines that cut processing time from days to hours.

Nepal

Message

What I'm looking for

I'm looking to build and scale reliable data pipelines, own client implementations end-to-end, and solve production data challenges using Python, Spark, Hadoop, AWS, and SQL.

At Zakipoint Health, I migrate U.S. healthcare processing from legacy MySQL batches to distributed Spark and Hadoop, cutting client processing time by over 90%—from 2–3 days to 4–5 hours.

I build Python ETL pipelines, automate API integrations with Docker and Linux, and own new client implementations from data-layout analysis through UAT and production release. I also work with AWS, Pentaho, Elasticsearch, PostgreSQL, and Bash automation.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Zakipoint Health

Aug 2024 - Present (2 years 2 months)

Led migration of legacy MySQL data processing to Apache Spark and Hadoop, reducing processing time by over 90%. Built and maintained automation scripts for data indexing and search, and owned client implementations end-to-end.

Apache Spark Hadoop MySQL Python SQL BASH S3 Elasticsearch Docker Linux Pentaho REST APIs SFTP Slack Email Alerts

Data Engineer Intern

Zakipoint Health

Apr 2024 - Jul 2024 (3 months)

Designed and optimized data pipelines for U.S. healthcare datasets using Pentaho Data Integration. Strengthened database management skills across SQL, Spark, Hadoop, and PostgreSQL, and used Elasticsearch to improve data indexing and search performance.

Pentaho SQL Spark Hadoop PostgreSQL Elasticsearch