Hello, I'm Vel Tien-Yun Wu, a dedicated Data Engineer with a rich background in developing robust ETL solutions using industry-standard tools like Scala Spark/Hadoop and Python3. My enthusiasm extends beyond the professional realm into the world of video gaming, where I draw inspiration and creativity from complex game analytics and mechanics. My technical repertoire includes: - Data Engineering: Proficient in Python 3, with extensive experience in creating efficient cron jobs via Airflow, and adept at Linux Shell Scripting. - Data Storage and Processing: Skilled in handling Parquet formats and streaming data technologies such as Kafka for real-time data management. Analytics and Visualization: Competent in transforming data into actionable insights using pandas, matplotlib, plotly, ipywidgets, and seaborn. - Machine Learning: Practical knowledge of machine learning applications using sklearn. - Programming Languages: Versatile in Python 3, R, Java/J2EE SE7 and 8, and JavaScript ES6. - Web Development: Solid background in web app development using AngularJS1.5, HTML 5, and CSS 3. - Database Management: Experienced with relational and NoSQL databases, including MySQL, MS SQL, PostgreSQL, and Neo4j. - Cloud Technologies: Familiar with deploying and managing applications on Amazon Web Services. Before my foray into data engineering, I honed my skills as a Java Software Engineer, developing web applications and leveraging my English communication skills in the IT services industry. My academic journey includes a Bachelor of Social Science in Economics from National Taiwan University and a transformative year as a Visiting Student at King's College London. I earned my Master of Science in Information Management from the University of Illinois at Urbana-Champaign, where I deepened my expertise in Data Science. My studies encompassed data cleaning, regression, and visualization, alongside ongoing endeavors into data mining, classification, clustering, and advanced machine learning techniques.