Abhradeep Das
Data Engineer @Saayam For All
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WORK HISTORY
Data Engineer @Saayam For All
San Jose, CA, US
Designed and implemented automated ETL pipelines using Python (PySpark), Apache Airflow, and SQL to orchestrate volunteer and donor data ingestion from multiple sources into AWS S3, and enabling efficient resource matching for underprivileged communities- Developed data quality validation framework in Python with automated checks for completeness and consistency, improving donor information reliability by 18% to support analytics and resource allocation decisions- Built Power BI dashboards with DAX measures and dimensional data model (fact tables for donations/activities, dimension tables for donors/locations) to visualize engagement trends across 5 regions, reducing manual reporting effort by 25%.
EDUCATION
The George Washington University
Master of Science - MS, Data Science
Techno India University
Bachelor's degree, Computer Science & Engineering
ABOUT ABHRADEEP DAS
A graduate of The George Washington University with a Master’s in Data Science, currently contributing as a Data Engineer at Saayam For All. Skilled in designing automated ETL pipelines using Python (PySpark), Apache Airflow, and SQL, they enable efficient data orchestration and resource allocation. With a strong foundation in data quality validation and visualization, they create Power BI dashboards featuring advanced DAX measures to uncover actionable insights on engagement trends. At Saayam For All, they collaborate with teams to optimize data processing workflows and improve decision-making through robust data pipelines and analytics solutions. Motivated by a passion for innovation and driving positive outcomes, they aim to empower organizations with scalable and reliable data solutions. Their technical expertise and diverse academic and professional experiences uniquely position them to bring data-driven perspectives and impactful solutions to the table.
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