Vel Tien-Yun Wu

I bring 5 years of hands-on experience in data engineering and software development, with a focus on building scalable data processing systems utilizing Hadoop, Spark, Kafka and Docker. My expertise in developing efficient ETL pipelines has been fundamental in optimizing data workflows for various data warehouses, enhancing data integrity and availability.

My track record includes managing high-volume data pipelines, automating scheduling processes to improve operational efficiency, and deploying monitoring solutions that have reduced Mean-Time-To-Repair (MTTR) by 40%. I have a strong foundation in SQL, especially PostgreSQL, which enables me to handle complex data analysis tasks effectively. My technical skill set is rounded out with proficiency in Python, Scala, Airflow for workflow management, Docker for containerization, and Linux shell scripting.

I have led projects that improved client procurement efficiency by 15% and increased deployment rates by 60%, demonstrating my ability to leverage data insights to drive business improvements.

With a Master's in Information Management and a Bachelor's in Economics, I possess a deep understanding of the data lifecycle, from mining and visualization to machine learning and statistical analysis, using tools like PowerBI, Seaborn, and Tableau.

My specialized skills in Time Series Analysis and Machine Learning are complemented by practical experience in data workflow management platforms, such as Airflow. I am proficient in English, which has been invaluable in my work within multidisciplinary teams, ensuring clear and effective communication.

Seeking a role as a Data Engineer or Data Analyst, I am eager to apply my technical expertise and analytical skills to contribute to meaningful projects and collaborate with a dynamic team.

  New Taipei City, Taiwan