Skilled data engineer with expertise in healthcare analytics, ETL processes, and big data. I transform complex data into actionable insights that drive innovation.
Passionate about transforming raw data into meaningful insights through innovative engineering solutions
With over 4+ years of experience in data engineering and analytics, I specialize in building robust ETL pipelines and data warehouses. My background in Computer Engineering combined with hands-on experience in healthcare analytics has equipped me with the skills to handle complex data challenges.
I'm passionate about mentoring the next generation of data professionals and actively contribute to the tech community through Code For Nepal and Google Developer Group Kathmandu.
Jun 2025 - Present
April 2025 - Present
November 2022 - March 2025
October 2020 - February 2021
November 2019 - February 2020
February 2024 - Present
February 2025 - Present
Graduated with comprehensive knowledge in software development, algorithms, data structures, and computer systems. Built a strong foundation in programming, database management, and system design that has been instrumental in my data engineering career.
Showcasing my work in data engineering and analytics
This project demonstrates a declarative approach to building data pipelines in Databricks using Delta Live Tables. It implements CDC (Change Data Capture), SCD Type 2 (Slowly Changing Dimensions), and data quality checks in a maintainable, code-first manner.
View ProjectEnd-to-end data engineering project using Azure Data Factory, Databricks, Synapse Analytics, Delta Lake, and Power BI for comprehensive data processing and visualization.
View ProjectEnd-to-end Data pipeline for e-commerce orders built using Microsoft Azure cloud services, integrating multiple data sources and performing advanced ETL and analytics on the Olist dataset.
View ProjectThis project showcases how to perform scalable data analysis using PySpark within Databricks, applying transformations, filtering, and saving processed results — all using cloud-native tools.
View ProjectThis project demonstrates how to build an End-to-End ETL (Extract, Transform, Load) Pipeline using Apache Airflow and Astronomer Astro. The pipeline automates data extraction, transformation, and loading processes, making data workflows efficient and scalable.
View ProjectData science project analyzing and forecasting COVID-19 cases in Nepal using statistical modeling and machine learning techniques.
View ProjectContains a detailed data analysis project using the pandas library to perform data cleaning, transformation, and exploration on athletes' bios and Olympic data. The main focus is on understanding and manipulating data using pandas functions such as grouping, merging, pivoting, and handling missing data.
View ProjectCompanies need insights into employee performance based on KPI metrics like working hours, sales, and project completion rates. The objective is to develop a predictive model that accurately assesses employee performance, enabling data-driven decisions for management.
View ProjectAimed at predicting Nepal stock market trends based on historical market data. The repository includes tools for data ingestion, preprocessing, and building predictive models to analyze and forecast stock price movements.
View ProjectLet's connect and discuss how we can work together