Jemy Chen
@jemychen
Data engineer specializing in ETL, PySpark, Airflow, and cloud data pipelines.
What I'm looking for
I am a data engineer with hands-on experience designing end-to-end ETL pipelines, building scalable Spark transformations, and automating workflows with Airflow to ensure high data quality and operational efficiency. I have implemented cloud-based solutions using AWS S3, HDFS, PostgreSQL, and PySpark to process multi-terabyte datasets and reduce manual reporting time significantly.
I collaborate closely with cross-functional teams in agile sprints to deliver data solutions that support business initiatives and improve alignment. My projects include AI-powered Streamlit applications and modular OpenAI agent architectures, demonstrating a blend of production data engineering, analytics, and practical machine-learning tooling.
Experience
Work history, roles, and key accomplishments
Data Engineer
Epsilon
Dec 2022 - Jun 2025 (2 years 6 months)
Designed end-to-end ETL pipelines and Airflow validation frameworks using AWS S3, PySpark, and PostgreSQL, ensuring 99% data quality while processing 3+ TB datasets and improving pipeline efficiency by 20%. Collaborated in bi-weekly agile sprints to deliver data solutions for 10+ initiatives and improved project alignment by 40%.
Data Analyst Intern
TalkPush
Jun 2019 - Oct 2019 (4 months)
Developed Python data extraction scripts and Power BI dashboards to automate campaign performance analytics, reducing manual reporting by 60+ hours monthly and improving client satisfaction by 30% within three months.
Education
Degrees, certifications, and relevant coursework
University at Buffalo
Bachelor of Arts, Mathematics
Completed a Bachelor's degree in Mathematics at the University at Buffalo.
Availability
Location
Authorized to work in
Job categories
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