發能力。 2. Android App 從 0 到 1 的建置開發能力。 3. 初階的 iOS App 開發。 4. Docker Container、GCP。 5. Linux、GIT、Jenkins。 6. BigQuery 應用，撰寫 DataFlow (Apache Beam) 處理 ELT data pipeline。 7. Push Notification 使用 Swoole (PHP) 非同步非阻塞進行開發。 Mobile Software Engineer [email protected] 工作經歷 第一網站股份有限公司, Mobile Software Engineer, May 2015 ~ 現在 從

Portto 門戶科技| Blocto • 九月三 月 2024 Main Responsibilities: Establishing Data Pipeline Exploring new product features and competitor analysis on Dune Dashboard on the EVM User tagging for the Growth team (including Discord bot for monitoring Project details: Data Pipeline Regularly integrating client-side and BE data with external APIs and data collected by bots on Bigquery Establishing a systematic coding data table combined with Slack bot command manual and automatic data replenishment Daily data monitoring with Slack bot Planning client-side (app, sdk js) Amplitude event tracking to maximize data collection Using existing data to

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

Python) for Automatic Claim Processor (ACP) - OCR System (Hospital Diagnosis/Receipt) 1. Receipt Recognition ServiceOCR: Successfully improved OCR model accuracy from 80% to 96% in 2023 by integrating current model with Microsoft Azure Form Recognizer output. Seamlessly integrated Microsoft Azure services into our existing Receipt system's data pipeline. Engineered postprocessing data solutions to cater to diverse format requirements from 17 different hospitals. Designed and executed comprehensive unit tests to ensure robustness and reliability. 2. Diagnosis Recognition ServiceNLP/OCR: Continuously maintain and monitor the Diagnosis Recognition service, ensuring optimal performance. Regularly

standard-1(1 vcpu, 3.75GB memory) Autoscaled up to 122 workers at peak. The data inserted into BigQuery was: Table 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

infrastructure as code 經驗: ‧ 使用 Terragrunt 和 Hashicorp 發布的 GitHub projects 管理 GCP infrastructure。 ‧若 Hashicorp 沒有相關的 resources 時，則參考 Terraform Google Cloud provider 文件，自行刻撰 module 並在 Terragrunt 中使用 。 5. Data Engineer 經驗: ‧架設 ClickHouse cluster multi-shards ，處理 1B+ 量級資料。 ‧dbt 開發 ， 遵循 best practice 建立 ELT pipeline ，將 data mart 提供給 BI 工具串接，改善 BI 報表查詢體驗。 Data

Viky Aji Siswantoro Gresik, East Java, [email protected] Viky Aji Siswantoro As a skilled data engineer with expertise in Python programming, data engineering, data analysis, machine learning, and data visualization with Tableau, I offer a comprehensive set of skills to tackle complex data challenges . With a background in data engineering, I have the ability to design, build, and maintain data pipelines, ensuring efficient and accurate data processing. I am proficient in using Python to implement scalable and reliable solutions, leveraging frameworks and libraries such as Pandas and NumPy. In addition to my data engineering