Ray Wang

Architect | Big Data | Machine Learning

Career Summary

I have immersed in the software industry for 7 years, providing my client consultant service and helping them build the mobile application, website, and platform. Those project not only participate in some well-known exhibition like Computex but also help them adapt to digital transformation. I am always striving to bring 100% to work that I assign to do, and enjoy the good time of co-work with brilliant people and build a great product, and my goal as a programmer is to develop a widely used product and resolve the true issue for the user. Through those careers, I have learned the most important idea is "Learning never ends". As a hungry go-getter, I will never stop pushing myself to my limits and ready to take the challenge as usual.

Work Experience

Solutions Architect

Amazon Web Service
2019 - Present

Solutions Architect at Amazon Web Services (AWS)

Achievements:

  • AWS Certified - All 12 Certifications
  • Area of Depth of Big Data & Analytic
  • Area of Depth of Machine Learning (ML/AI)
  • Deploying Apache MXNet on AWS Lambda @aws-samples

Technologies used:

  • AWS
  • Hadoop
  • Spark
  • Hudi
  • SageMaker
  • Microservice

Senior Software Engineer

Change Healthcare
2018 - 2019

Scala Developer and Data Engineer in Intelligent Healthcare Data Platform(IHDP). Provide the query engine with fine-grained data access controlled on our data lake. Apache Ranger as centralized security framework to manage fine-grained access control across EMR cluster and Hive query engine. Onboard API for the data source to persist security envelope which for data lake to start to ingest data and providing the required information for ETL job. AWS Glue Crawler to discover and register the schema for raw data, merge data from other data source and load to the data lake.

Achievements

  • Design and construct the cross-department cloud for healthcare (IHDP)
  • Design and implement the security mechanisms for HIPAA compliance
  • Design the onboard API which implements data ingest progress of data lake
  • Design and implement the data pipeline with AWS Glue ETL
  • Design and develop the ranger policy version control service for the query engine
  • Design experiments for comparing the pros and cons between AWS solution

Technologies used:

  • Scala
  • Play
  • Spark
  • Hadoop
  • AWS
  • MySQL

Senior Software Engineer

Centrixlink Inc. by Hylink
2017 - 2018

Responsible for international advertising platform and dashboard, as a server to server advertisement provider. Collecting advertisement from the advertiser, dispatching to our channel and SDK later. Providing not only brand advertising but also performance-based advertising, the advertiser pays only for measurable results. Deploy Nginx server as loading balance server, routing requests to the available node. Kafka as high-throughput message queue service, dispatch messages to consumers. Apache Hive as query engine and provide query API and report service, however, it takes a lot of time on the Map-Reduce process. Therefore, we implement the micro-service with Akka actor system and Druid as our time series database and keep HDFS as deep storage, to aggregate data by dimensions in real-time.

Achievements

  • Design and develop dashboard and report system with fine-grained authZ control
  • Implement crawler with Akka actor and multiple worker and dispatch
  • Implement three-layer data provider cooperate with micro-service and eventbus
  • Implement transformer and refine data workflow to improve performance
  • Implement query API with druid and HDFS as deep storage
  • Implement message queue which dispatch transaction log, consumed by Akka actor

Technologies used:

  • Scala
  • Play
  • Druid
  • Kafka
  • Microservice

Architect and Lead Developer

Tech. Pioneer Studio
2014 - 2016

Focus on providing our client consultant service and helping them design and build the mobile application, website, dashboard, platform, and API service. To approach high concurrent API and reduce operating costs we deployed our service on AWS cloud, which provides on-demand cloud computing service. With service base on AWS cloud architecture, we can not only loading balance service to reduce loading of each node but also message queue service to schedule request from entry point or other nodes.

Achievements

  • Design and build AWS cloud architecture and sync data flow
  • Design and build database repository communicate with data provider
  • Design and build RESTFul API communicate with database repository
  • Design high concurrent API with loading balance, auto-scaling, and message queue
  • Design and build mobile application and communicate with backend API
  • Design and build micro-service and manage data flow

Technologies used:

  • AWS
  • PHP
  • MySQL
  • MongoDB

Skills & Tools

Backend

  • AWS
  • Scala
  • Java
  • PHP
  • Microservice

Big Data & ML

  • Hadoop
  • Spark
  • Druid
  • SageMaker
  • Big Query

Others

  • Hive
  • Spark ML
  • ElasticSearch
  • DataOps
  • MLOps
  • Git
  • GCP
  • Compute Vision
  • Recommendation

Education

  • BSc in MIS
    National Central University
    2010 - 2014

Certifications

  • AWS Certified Cloud Practitioner
  • AWS Certified Developer – Associate
  • AWS Certified SysOps Administrator – Associate
  • AWS Certified Solutions Architect – Associate (SAA-C02)
  • AWS Certified DevOps Engineer – Professional
  • AWS Certified Solutions Architect – Professional
  • AWS Certified Advanced Networking – Specialty
  • AWS Certified Security – Specialty
  • AWS Certified Machine Learning – Specialty
  • AWS Certified Database – Specialty (DBS-C01)
  • AWS Certified Big Data – Specialty
  • AWS Certified Alexa Skill Builder – Specialty

Language

  • Chinese (Native)
  • English (Professional)

Interests

  • Swimming
  • Traveling
  • Foodie
  • Cooking