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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

助公司 app 增加 6 % 用戶參與度並獲得 70 % 用戶滿意度 - 運用 DVC 建置 model experiment tracking, dataset versioning 以及 model management 【Airflow 定期排程以及維運 data reports】 - 創建 2 個 ETL pipeline - 幫助 3 個不同部門維護 8 個 data reports - 利用 python 去處理並且整合 SQL, Google big query, AWS S3 bucket 不同來源的 data source 【Data analysis】 - 根據各部門所需提

load for a particular site level. Have been using Data lake, Azure SQL Database, Azure Databricks, Azure Synapse Analytics as intermediate layer for data storage and end products involving Facts and Dimensions that can be further consumed by Azure Analysis Services. Worked on writing SQL Logic that involves pipeline re-run process so that pipeline can be re-run from the same watermark point as it was failed to avoid data loss. Also worked on Logic App to ingest the data from SQL Database into Sharepoint List on the basis of Row Active flag. Cloud Consultant

patterns across ingestion, storage, processing, and reporting layers Trusted leader across sales, recruiting, contract negotiations, delivery, and team leadership pillars Expert on data visualization and analysis best practices and building targeted data aggregates to simplify these processes JulyJanuary 2022 Principal Cascade Data Labs Designed and built end-to-end data pipelines, analysis tools, ML/AI artifacts to meet client use cases. Primarily worked in Python, SQL, Tableau, and Databricks. Obtained subject matter expertise in Tableau and Adobe Experience. Team leader / delivery lead for major eCom client. Experience in Redshift and Snowflake. Developed and

邦電子股份有限公司 - Software Engineer |now The System Development Department is responsible for in-factory digital transformation project development and provides guidance on Python promotion. Developed digital transformation projects for RD, production capacity calculation, and industrial security image recognition using Django. Developed ETL pipeline for the manufacturing department using Python and Pandas. Skilled in creating Docker containers and Dockerfile. Integrated Jenkins CI/CD pipeline with Gitlab using docker-compose and Makefile. Created Grafana Dashboard to Monitor Servers and Application Services. Integrated Elasticsearch and Kibana Visualization. Established

Chart, Terraform, ArgoCD, Gitlab CI - Workflow: Argo Workflow Key Roles and Achievements: - iKala Interactive Media Inc.: - Served as an Architect, designing cross-team interfaces and leading AI department design documentation efforts. - As a Senior Backend Engineer, refactored crawler services, developed the Datahub system, and led ML Inference and ETL pipeline integration projects. - Lintor International Co., Ltd.: - Led the design and implementation of 33 games, demonstrating leadership in game logic system development. - Developed a Golang server framework and implemented microservices to enhance system functionality. - CHUNG YO INTERNET INFORMATION CO., LTD.: - Maintained platform

Yoyo Lu, Data Analyst professional [email protected] Resourceful Data Analyst and Programmer with 5+ years of experience at Alfred Labs. Strong background in Mathematics and Computer Science. Adept at providing crucial analysis to cooperating teams. WORK EXPERIENCE Alfred Labs., Data Science, Jul 2017 ~ Present As an early employee of the company, I played a pivotal role in the development of our data infrastructure. This included the creation of robust ETL pipelines and automated dashboards, key advancements that enabled the entire organization to make data-driven decisions. My expertise in designing