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hybrid cloud architecture using GCP, especially include local K8S, GaKE, Docker and other services. Implemented CI/CD systems and designed internal software processes, communicating closely with executive leadership. (2) Achievement: Enhanced IT infrastructure flexibility and scalability, improved system reliability and operational efficiency, reduced costs. 4. Data Platform and Personalized Recommendation System: (1) Responsibility: Built AWS data platform including ETL, data warehousing, and lakes. Led development of a personalized recommendation system using AWS Personalize, custom algorithm and Generative AI, e.g. OpenAI, Genimi. (2) Achievement: Boosted customer conversion rates by 2% through

for performance and scalability. Developed databases that supported Web applications and Web sites. Developed system interaction and sequence diagrams. Big Data Engineer • Freelancer JuneJuly 2023 Built machine learning models using TensorFlow and Scikit-Learn libraries for predictive analysis of customer behavior. Designed and implemented a scalable data warehouse architecture using Apache Cassandra, PostgresDB, and Redis. Optimized database performance by tuning queries in SQL Server, Oracle and PostgreSQL databases. Implemented efficient data processing algorithms on large datasets with Apache Spark, MapReduce, and Pandas Python. Created dashboards in Tableau Desktop Professional Edition to visualize complex

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

in Data Analysis, Machine Learning and Deep Learning, familiar with Modeling, Data Analysis, Image Processing, Machine Learning, and Deep Learning. Taipei City, Taiwan WORK EXPERIENCE Lead Data Scientist / Full Stack Data Scientist, Vinnovation Network, Taipei, Taiwan Data Engineering / Data Analysis Spearheaded the development of a fully automated data integration pipeline that aggregated diverse data sets into a S3 Data Lake. Successfully integrated a range of data sources, including real-time data feeds from AWS Redshift and DocumentDB, as well as batch processes to import traditional CSV files. Utilized Databricks for large-scale data processing, leveraging

陳昭儒(Chao-Ju Chen) Github [email protected] Education National Taiwan University Bachelor’s Degree, Electrical Engineering 2012 ~ 2017 Project Highlights Aggregating Files in one ETL, output 60B row to Data Warehouse Input :gzipped files(200GB in total) Task : Loading columns with values parsed from each gzipped file name. Wrote to BigQuery existing table(specific schema) in parallel. Tool: GCP Dataflow(Hosted Serverless Apache Beam) Result : The job took 40min to finish. Machine Type: n1-standard-1(1 vcpu, 3.75GB memory) Autoscaled up to 122 workers at peak. The data

API) and Microservices. Management Information System (MIS) • PT. XL Axiata Tbk AugustFebruary 2016 Create reporting, evaluate dashboards, and develop KPI reports. Additional increasing fluency in artificial intelligence and product life cycle analysis. assist the sales team in determining products that customers are interested in, through sales data analysis. increase sales by 10% by looking at previous sales data. DBA Consultant IBM SolidDB at Telkomsel • PT Anugrah Teknologi Indonesia JulyAugustInstallation of IBM Soliddb version 6.5 and 7.0 based on Linux (RHEL 5) -Configuring IBM Soliddb to synchronize two machines (Primary - Secondary

Emily Ledoux Delivery Principal Seasoned Delivery Principal in the Data Practice. Focused on designing robust, scalable data ecosystems in the cloud to feed insights and data visualizations. Well-rounded consultant with experience spanning sales, recruiting, and delivery. Proven Delivery & Client Lead. Portland, OR, USA https://www.linkedin.com/in/emily-ledoux/ Work Experience JanuaryPresent Principal Data Architect Kin + Carta Delivery or Client Lead for over 25 resources, including direct reports, delivery oversight, hours tracking, QBRs, onboarding management, budget ownership and related responsibilities. Cloud Architect, designing Azure and