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Yuvraj Acharya

@sangamacharya

Aspiring Data Engineer building Python, PySpark, and dbt pipelines, including an automated e-commerce pipeline with 35 data quality tests.

Nepal

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What I'm looking for

I’m seeking a Data Engineering internship or entry-level role to apply and grow my skills.

My End-to-End E-Commerce Batch Data Pipeline transforms Olist records into analytics-ready fact and dimension tables. I built a batch workflow for 100,000+ orders, with 12 dbt models validated by 35 automated data quality tests.

I used PySpark to clean and enrich the data in DuckDB, then orchestrated the workflow with a 13-task Airflow DAG. I also designed a swappable storage layer so the pipeline can move from DuckDB to BigQuery through a configuration change.

For my NYC Taxi Data Engineering Pipeline, I built a modular workflow to process 109M+ trip records using PySpark, Spark SQL, dbt, DuckDB, and Kestra. I’m seeking a Data Engineering internship or entry-level role where I can apply and grow these skills.

Experience

Work history, roles, and key accomplishments

End-to-End E-Commerce Batch Data Pipeline

Olist Dataset

Apr 2026 - Aug 2026 (4 months)

Built an automated batch pipeline transforming raw e-commerce records into analytics-ready fact and dimension tables. Engineered processing of 100,000+ orders into 12 dbt models validated by 35 automated data quality tests.

Python SQL PySpark DBT DuckDB Airflow Docker BigQuery GCS Data Quality Testing Dimensional Modeling

NYC Taxi Data Engineering Pipeline

NYC Taxi

Built a modular batch data pipeline processing 109M+ NYC taxi trip records, covering ingestion, cleaning, transformation, data modeling, and analytical insight delivery. Used PySpark and Spark SQL to resolve data-quality issues and orchestrated workflows with Kestra.