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Manoj Adhikari

@manojadhikari1

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I build scalable ETL pipelines and PostgreSQL data warehouses for large, messy datasets.

Nepal

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What I'm looking for

I'm looking for a data engineering role where I can build scalable ETL pipelines, data warehouses, and automated workflows using Python, PostgreSQL, Apache Airflow, and Docker.

I've built production-ready ETL pipelines for NYC Citywide Payroll, healthcare prediction data, and FIFA World Cup records using Python, PostgreSQL, Apache Airflow, and Docker. My pipelines process millions of records, support incremental loads and batch tracking, and load analytics-ready star-schema data warehouses.

For NYC Citywide Payroll, I processed 2.1 million records into a warehouse with one fact table and six dimension tables. I also designed data pipelines that handled sentinel values, missing statistics, conflict handling, and complex source data across healthcare and sports datasets.

At KSVA Tech, I built responsive React interfaces and integrated REST APIs, which strengthened my interest in structured JSON data, databases, and data pipelines. I've also analyzed citation graphs for 80,000+ NLP papers and built projects with Next.js, Django, and Monte Carlo Tree Search.

Experience

Work history, roles, and key accomplishments

Frontend Intern

KSVA Tech

Built responsive UIs with HTML, CSS, JavaScript, and React; integrated REST APIs into frontend components. Developed strong interest in databases and data pipelines through working with structured JSON data in live projects.

HTML CSS JavaScript React REST APIs