
Nash Yeung
Verified Expert in Engineering
Data Engineer and Back-end Developer
Ottawa, ON, Canada
Toptal member since April 1, 2022
Nash is an experienced back-end and data engineer with over 15 years of experience in back-end/data systems design, ETL, and DevOps, focusing on scalability and performance. Certified as an AWS Solutions Architect - Professional, his work emphasizes seamless cloud migrations and designing robust systems that enhance scalability, security, and availability while optimizing costs. He's committed to enabling robust and reliable solutions that meet organizational analytics and operational needs.
Portfolio
Experience
- Ruby - 10 years
- SQL - 10 years
- Amazon Web Services (AWS) - 9 years
- Python - 7 years
- Redshift - 6 years
- Terraform - 5 years
- PostgreSQL - 4 years
- Apache Airflow - 4 years
Preferred Environment
Amazon Web Services (AWS), Kubernetes, Terraform, Python, SQL, Ruby
The most amazing...
...system I've built is a data platform that supports various data sources, a governed data lake, and real-time ETL pipelines ultimately used by the whole company.
Work Experience
Senior Software Engineer
Jungle Scout
- Revamped a core data pipeline using PySpark, Athena, and Airflow, enhancing performance, development experience, and cost efficiency.
- Utilized ECS and finetune scaling to enhance an in-house web scraper that scraped >1M pages/day and improve its uptime to 99.9%, while reducing its AWS hosting cost by around 50%.
- Led data engineering initiatives focused on big data architecture, ETL pipelines, and their CI/CD, ensuring operational excellence.
Data Engineering Manager
ExpressVPN
- Drove the design and implementation of the next version of the company-wide data platform to be cloud-native, real-time, scalable, automated, and ultimately self-served.
- Led the data engineering team to maintain, operate, and enhance the legacy data platform that's still supporting all analytics needs for the business.
- Planned and drove the migration of several critical back-end systems to Kubernetes to achieve better availability and scalability.
Head Software Developer
Bindo Labs
- Led the revamp and unification of several existing RESTful APIs for better performance and control.
- Oversaw requirements gathering, feature design, and system development.
- Evaluated and tested new tools and workflows for continuously optimizing team members' work and automating operations.
System Analyst
StartJG
- Built the development and continuous integration workflows using Gitflow and TeamCity.
- Set up and administered development VMs for project development using VMWare vSphere, Windows 7, and Ubuntu Server.
- Participated in module implementation in ASP.NET projects and a client-side web app in AngularJS and CoffeeScript.
Senior System Architect
iClick Interactive Asia Limited
- Implemented and maintained a real-time ad impression bidding system (20.000+ requests/s, <100ms response time) integrated with Google Ad Exchange and various ad platforms.
- Participated in building the Hadoop-based big data system for ad data analyses.
- Optimized and operated the ad-serving and tracking servers to serve more than 2.000 tracking requests/s.
Experience
XMO
I actively participated in feature development, ad platform integration, system optimization, and building of the first generation data warehouse.
Education
Bachelor's Degree in Computer Science
The Chinese University of Hong Kong - Hong Kong, China
Certifications
AWS Certified Solutions Architect Professional
AWS
Project Management Professional (PMP)
Project Management Institute (PMI)
Skills
Libraries/APIs
Sidekiq, Pandas
Tools
Terraform, Apache Airflow, BigQuery, Capistrano, RSpec, Git, AWS Glue, Tableau
Languages
Python, SQL, Ruby, Unicorn, Haml, C#
Frameworks
Ruby on Rails (RoR), Hadoop, ASP.NET, Spark
Paradigms
ETL
Platforms
Amazon Web Services (AWS), Amazon EC2, Kubernetes, Docker, Linux
Storage
MySQL, PostgreSQL, Redshift, Databases, Amazon S3 (AWS S3), Data Pipelines, Greenplum, Microsoft SQL Server, HBase, Data Lakes
Other
Amazon RDS, Query Optimization, Data Engineering, Google BigQuery, Data Build Tool (dbt), Data Warehousing, AWS Certified Solution Architect, Big Data, CI/CD Pipelines, Data Quality, Amazon Managed Workflows for Apache Airflow (MWAA)
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