CakeResume 找人才

size:GB Number of rows: 6,268,519,176 Qudowe Project Lead & Software Engineer Product of Pixnet Travel Hackathon 2019, a trip planner based on Instagram's data Work Experience Vpon, Data Engineer Aug 2018 ~ Oct 2020 Implement Akka-http(Scala) server endpoints for Vpon Data Platform Product Create new ETL pipelines using GCP Spark(Apache Spark) and GCP Dataflow(Apache Beam) to batch input/output hundreds of files Migrate existing ETL pipelines from AWS(Hive SQL) to GCP(BigQuery SQL) using python Migrate datawarehouse from AWS(Hive) to GCP(BigQuery) Setup Prometheus on GKE (Google Kubernetes Engine) to

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

Analysis Service SQL Server Management Studio Azure Synapse Analytics Azure SQL Databases Azure Data Lake Storage Gen2 Azure Devops Power BI Azure Virtual Machine Azure Infra Microsoft Office Multitasking Skills Good Communication Skill Work Experience Senior Data Engineer • Larsen Toubro Infotech Mindtree DecemberPresent Currently working as Lead engineer in developing ETL Pipelines using Azure Data Factory, have been developing multiple data pipelines comprising different data sources for example Oracle, SQL Servers, Sharepoint List, API's. Designing the data pipelines in a way so that they can produce reusability, and also giving multiple options that involve activating a particular table

Solutions Architect CKmates Responsible for AWS cloud architecture and solution design. AprJan 2023 Cloud Data Engineer SinYi Realty Inc. Responsible for Azure cloud architecture and Data ETL Pipeline development and management. JanApr 2022 Backend Engineer AnFu Solutions Inc. Responsible for AWS cloud environment management and architecture, ETL data cleaning, and Python API development. Project experience: House+ : Data cleaning process management, using Elastic Beanstalk in the AWS cloud environment to establish a data cleaning process pipeline. Model training process management, using Elastic Beanstalk in the AWS cloud environment to establish a model training process

/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 data warehouse and provide more than 50 ETL pipelines for various game operations • Collaborate with data scientists to optimize ML models, pipelines, and services • Refactor ML projects by improving software design for easier to reuse and adaptation • Develop internal config service based on RESTful API via Go and Docker Machine Learning Engineer • TSMC 十二月四月ML Pipelines Development: I was in charge of building the ML workflow for

for business process automation using data techniques on loan, credit analysis and procurement process. • Design solutions for data leakage prevention and data security. • Implement end-to-end generative AI solution integrating with GraphDB, Chatbot & Avatar. Morrison Express Corp., Data Engineer, Jan 2021 ~ Jul 2022 • Orchestrated data pipeline, ETL process and API to connect diverse data systems and facilitate data migration. • Full accountability for overseeing data architecture and services spanning 70 offices across five continents. • Integrated AWS cloud services, optimizing applications with S3, Lambda, SQS, SNS, and ECS. ASUSTeK Computer Inc., Digital Analyst

Jeffrey Lin ( 林奕勳 ) ESUN Bank, Intelligent Finance Technology Department, AI Engineer focusing on Enterprise-Level ML Frameworks and Design Patterns [email protected] TW, Taipei CAREER SUMMARY 6+ years of deep learning research and development experience, with a strong ability in prototyping, evaluation, and deployment of models, in both academical and industrial environment. 2+ years of financial AI development experience, specialized in the design of python API, SDK, and framework for optimizing the deployment flow of data science, ETL, and machine learning pipelines. 1+ year of participation in the technology management