CakeResume Talent Search

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 monitor resource usage(CPU, memory of compute engine) Largitdata, Data Quality Manager Sep 2017 ~ July 2018 Monitor status of all web scraping running scripts.

Wenchin Chuang Product Manager with a software engineering background dedicated to building Earth-friendly products Product Manager Remote (EU / Asia) [email protected] Work Experience Climatebase Fellow, Climatebase —present (Remote) - Participating in Cohort 4 of the Climatebase Fellowship. Product Manager & Founding Partner, lablaco —present (Remote) - Drove the conceptualization, development, and launch of the AR try-on feature in SPIN, a web3 retail marketplace. Collaborated closely with 3D designers to digitize garments into Phygital NFTs at Digital Fashion Week NYC, London, and Paris inGuided the successful execution of a meta-retail exhibition at Galeries

● At least 8 years of experience in data analysis, pipeline design and development, and tool building as a team member. ● In-depth knowledge of the Spark and Hadoop ecosystems, including Hadoop, HDFS, HBase, and more. ● Strong skills in designing and developing Big Data services on AWS and GCP. ● Extensive expertise in developing generic distributed systems, streaming processing, machine learning pipelines, and continuously improving ML models. Senior Data Engineer at Paktor x 17LIVE| AWS Big Data Specialist | Data Architect Singapore / Hong Kong / Taiwan [email protected] https

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, Sep 2019 ~ Jan 2021 • Established data tracking and data standards for ASUS online products & social platforms in 70 countries. • Employed ML algorithms to analyze consumer behavior and data visualization.

cutting edge technologies in the work, but it can be swiftly brought up to speed. (it's my master degree). Language Capability: English: Business Level | Japanese: Conversational | Mandarin: Native Experience Data Infra Engineer, Moneytree, Novpresent (~2.5y) Built a Data Lakehouse solution on a full cloud environment (AWS). Involved with 3 new data products and they all able to drive initial revenue stream for the company, with a team has only 2 engineers. Lead a cross team initiative to democratize company crucial KPI. Enable unit test on Spark locally, integrated with CI pipeline.

周立生 Li-Sheng Chou ThinkTron Ltd. R&D Section Lead Taipei City, Taiwan [email protected] Full-Stack / Containerization / AWS / GIS / System Analyst ISO27001:2013 Lead Auditor / Tech Manager / Project Management With over 6 years of experience in the field of disaster prevention, I have gradually transitioned into information development and architecture design . I have also served as an information development supervisor for 3 years, leading teams in the successful completion of multiple information systems for governments. My expertise includes full stack development and integration , containerization (Docker

Python Pandas Using ElasticSearch and Kibana for data tagging, aggregating and alerting Building a version control platform by Python Django for threat experts to easily trace their experiments and results Being in infra team of TrendMicro XDR endpoint data lake Maintaining 20+ Kubernetes clusters with thousands of nodes across AWS & Azure . Processing Data flow of GB/second level. Monitoring k8s, applications, databases by fluentd + prometheus + Grafana and deliver alerts accordingly Use Helm to manage plenty of Kubernetes plugins for databases, monitoring, networking, auotoscaling... etc. Managed authentication using AWS IAM/