Summary
Babin Joshi is a Data Engineer II with nine years of experience building cost-efficient, cloud-native data platforms and scalable ETL pipelines across Azure and AWS. He has a strong track recordโdriving migrations from Synapse/Oracle to Databricks that cut monthly costs by over 90% and implementing Medallion architecture and Terraform-driven automation for repeatable, reliable pipelines. At Fusemachines he built end-to-end fraud detection and RAG-based LLM SQL agents, combining feature engineering, model serving with FastAPI, and Airflow orchestration to operationalize ML. He also mentors and trains junior engineers in SQL, Spark, Kafka, and cloud services, blending hands-on delivery with knowledge transfer. His background in ML projects (stroke prediction, emotion classification) and certifications in Apache Spark and Airflow give him a rare full-stack data perspective from ingestion to model deployment. Based in Nepal, heโs known for simplifying legacy complexity into reusable frameworks that enable fast, auditable analytics.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Computer Science, Computer Science, 3.59 CGPA, Bachelor of Computer Science, Computer Science, 3.59 CGPA at Kathmandu University (KU)
HSEB Science, Distinction, HSEB Science, Distinction at Prasadi Academy
SLC, Distinction, SLC, Distinction at Mount Everest Higher Secondary School
English, Hindi, Nepali