
Ian Roy
Verified Expert in Engineering
Data Engineer and Developer
Cleveland, OH, United States
Toptal member since December 21, 2020
Ian is a data engineer with six years of experience providing scalable and verifiable solutions. His primary focus has been on large scale data collection operations across a few different industries. Ian also has abundant experience working in the Docker ecosystem, so he excels at smoothly and efficiently integrating his code into an existing DevOps system.
Portfolio
Experience
- Data Engineering - 6 years
- Python - 6 years
- Data - 6 years
- Web Scraping - 6 years
- APIs - 6 years
- Data Analysis - 5 years
- Big Data - 4 years
- Data Pipelines - 2 years
Availability
Preferred Environment
Python, Linux
The most amazing...
...thing I've created would be my solutions to for dealing with many different anti-bot networks when scraping data.
Work Experience
Data Engineer
TPA Stream
- Created tools that simplified the process of writing web scrapers.
- Containerized the web scrapers so that they could be part of the DevOps pipeline.
- Maintained the existing data pipelines by troubleshooting bugs as they occured.
Data Science Instructor
Trilogy Education Services
- Instructed students who were learning basic programming and data analysis.
- Troubleshot student configuration issues in a variety of different hardware and software enviorments.
- Provided 1-on-1 tutoring to students in need of further instruction.
Software Engineer
Dakota Software
- Maintained web scrapers for government regulations.
- Created Selenium-based automation tools for web app testing.
- Deployed tested code to the production environment.
Experience
Stock Data Pipeline
https://github.com/Ian-Roy/data_pipeline_stockEducation
Bachelor of Science Degree in Mathematics
Cleveland State University - Cleveland, OH, United States
Skills
Libraries/APIs
D3.js
Tools
Git, DataViz
Languages
Python, SQL, JavaScript
Paradigms
Distributed Computing
Platforms
Docker, Linux
Storage
Data Pipelines, NoSQL
Other
Data Engineering, Web Scraping, Big Data, Data Analysis, Data, APIs, Machine Learning
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