At GritFeat Solutions, I created a dbt pipeline following Medallion Architecture, with quarantine and conformed layers for data quality checks, and loaded the data into Snowflake. I also created a Dagster pipeline and deployed it using Kubernetes, Minikube, and Helm.
I’ve built data pipelines across healthcare, financial, sales, inventory, and call data. My work has included developing a custom Airbyte connector, integrating Airbyte with dbt, and creating dbt models, tests, snapshots, and incremental materializations.
At GritFeat Solutions, I’ve used Python and Pandas to process data for SQL Server, and MongoDB aggregation pipelines to generate dashboard metrics. I’ve also tuned Snowflake, SQL Server, and MongoDB queries and pipelines for performance.
Outside my work at GritFeat Solutions, I built an Intelligent Virtual Assistant using Python and Google API, along with PCare, a web app developed with Python, HTML, CSS, and JavaScript. I completed a bachelor's degree at NCCS, affiliated to Tribhuvan University, and won first position in a group Python project organized by NCCS College with Cloud Factory.
