data that included geo-location data from BigQuery and deployed it on the GCP environment. The API saved 80% of the time on fetching data (Cloud Run, IAM, BigQuery) 十月七月 2021 Data engineer • 富盈數據 Maintained distributed system and database • Constructed and managed the Hadoop ecosystem with Ambari. Built ETL pipeline to query multi-source database which processing more than three terabytes (TB) provided 90% of the analysis needs (Hive, HBase, Python, ELK, MySQL) • Established data collection and analysis workflow, saving Data scientists’ 30% of the time to analyze and build machine learning

Chin-Hung (Wilson) Liu I am a lead architect responsible for designing and implementing a large-scale data pipeline for Lomotif, Paktor x 17LIVE, utilizing GCP/AWS/Python/Scala, in collaboration with data science and machine learning teams in Singapore and TW HQ, as well as with the Hadoop ecosystem (HDFS/HBase/Kafka) at JSpectrum in Hong Kong and Sydney. With over 15 years of experience in designing and developing Java/Scala/Python-based applications for daily operations, I bring: ● At least 8 years of experience in data analysis, pipeline design

及進步的團隊。 [email protected], Taiwan Education 輔仁大學圖書資訊學系,Skills Python 程式寫作、實作爬蟲及資料清理作業。 Database SQL : PostgreSQL, MySQL, MSSQL NoSQL: MongoDB, Redis, DynamoDB, Hadoop Docker 容器化技術 Data Lakehouse Databricks Azure 持有Microsoft Certified: Azure Solutions Architect Expert 及 Data enginner 證照 AWS 持有 AWS Certified Solutions Architect – Professional 證照 工作經歷 Staff Cloud Architect Enginner , 域動行銷股份有限

CD pipelines from scratch which follow GitOps flow and deploying service to GKE cluster using Helm . Familiar with GCP service , IAM, GCS, Big Query, Cloud Function, Pub/Sub, Cloud Scheduler Data Engineer Micron OctOct 2021 Taichung, Taiwan Developed and maintained ETL processes using Python to transfer data into Hadoop Ecosystem, including HBase and Hive, for efficient data storage and retrieval. Proficient in SQL for data manipulation and query optimization. Collaborated with cross-functional teams to design and implement data pipelines, ensuring data integrity and accuracy. Streamlined data processing workflows, resulting in significant time and resource

Aiden Wu Data Engineer / Machine Learning Engineer Taipei, Taiwan • Enthusiastic software developer: focus on distributed systems, especially Hadoop ecosystem • Experience in data engineering: develop batch and real-time data pipelines with an average of TBs per month via Spark and Airflow • Experience in machine learning: develop machine learning (ML) and deep learning (DL) models while providing services on RESTful API https://www.slideshare.net/ssuserf88631/presentations 工作經歷 Senior Data Engineer • Garena 八月Present • Build and manage self-distributed systems (e.g., Hadoop, Spark, and Kafka Cluster) • Design

Ching-Chuan Chen 陳慶全 資料科學家、資料工程師、資料分析師 • City, TW • [email protected] Data engineer and data scientist with over four half years of experience. Proven success in processing big volume of data (6TB per day) in Spark in Scala and MPI in R and Python, developing a machine learning model with Spark in Scala on 30 billions of records for IoT device recognition and developing algorithms to classify unlabeled network behaviors of customers to protect their devices from compromising. Skilled in programming

ZOOKEEPER. Summary Excellent understanding /knowledge on HADOOP(Gen-1 and Gen-2) and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, Resource Manager (YARN), Node Manager and Aplication Master. Expert in understanding the data and designing/implementing the enterprise platforms like Hadoop data lake and huge Data warehouses. Have over 2 years of experience as Hadoop Architect with very good exposure on Hadoop Technologies like HDFS, YARN, MapReduce, Sqoop, Flume, HBase, Hive, Presto, Oozie and Spark. Good understanding of NoSQL databases and hands on working experience in writing applications