Er. Nabin Hyanmikha
5 years of hands-on experience in building scalable data pipelines across multi-source e-commerce data.
About
I’m a data engineer with over 3.5 years of hands-on experience in building scalable data pipelines across multi-source e-commerce data. I design and automate ETL processes using Python (factory pattern), S3, and data warehouse technologies like RedShift and data lakehouse architectures. I’m focused on autonomous, analysis-ready formats and deployment automation using Shell scripting and Cron scheduling; currently, I’m exploring Apache Iceberg to improve performance and scalability of our big data pipelines.
Beyond technical work, I lead a team of data engineers at GrowByData Services— guiding project execution, mentoring team members, and fostering a collaborative, growth-oriented culture. I believe leadership is about people, processes, and technology aligning to drive impact, and I remain deeply committed to continuous learning in new technologies and non-technical areas.
- 5 years' experience
- Joined January 2026
Skills· 17
Languages
- NepaliAdvanced
- EnglishAdvanced
- HindiIntermediate
Industry experience
- Software & Internet
- Professional Services
- Healthcare
- Computers & Electronics
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Work experience· 5 roles
Data Engineer responsible for building scalable data pipelines, contributing to an open-source TUVA project, and creating a SOLID and factory-pattern-driven automation framework for terminology updates.
Drafted, implemented, and automated health checks for third-party tools (e.g., Dremio); initiated a POC for Iceberg to improve data pipeline efficiency; updated the architecture; developed an interactive data status reporting workflow; modularized system glitches and migrated AWS-based Dremio to Kubernetes.
Researched integration of Apache Airflow with the Factory design pattern of the Data Acquisition Framework; automated ETL with Python; introduced the Data-LakeHouse concept; used Dremio as the query engine to support data lakehouse; optimized SQL; improved Bash and Shell scripting; managed resource segregation across projects.
Education· 8
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