Prabin Parajuli

About Prabin Parajuli

I am a results-driven Data Engineer with over five years of experience designing and…

Experience

1. Data Engineer

   Merck Group

   Jul 2023 — Present · US

   As a Data Engineer at Merck, I design and develop scalable data solutions for clinical trial analytics, leveraging AWS, Apache Spark, and big data technologies. I specialize in building efficient ETL pipelines, automating data workflows, and optimizing data processing for large-scale datasets. By implementing modern cloud architectures, real-time data ingestion frameworks, and data governance best practices, I enhance data accessibility, reliability, and compliance. Additionally, I collaborate with cross-functional teams to integrate machine learning pipelines, improve analytics capabilities, and drive data-driven decision-making. Key Contributions: Built scalable data pipelines using Apache Spark and Scala, optimizing clinical data processing. Designed a centralized AWS S3 data lake, improving data accessibility and analytics integration. Automated ETL workflows with AWS Glue and Apache Airflow, enhancing data ingestion for Redshift. Optimized query performance in Redshift and Athena, reducing processing time for large datasets. Developed Python-based data validation frameworks, ensuring clinical data accuracy and compliance. Integrated real-time data ingestion with AWS Lambda and Kafka, enabling near real-time analytics. Migrated legacy data systems to AWS, enhancing scalability and operational efficiency. Created reusable Python ETL libraries and implemented CI/CD pipelines with Jenkins. Designed Tableau dashboards to visualize clinical trial progress and KPIs for stakeholders. Led training sessions to promote AWS analytics and big data adoption across teams.

Education

• University of California, Merced

  Doctor of Philosophy - PhD

• University of California, Merced

  Master of Science - MS

• Tribhuvan University

  Master of Science - MS

• Tribhuvan University

  Bachelor of Science - BS