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4-6 years
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United States
Data Engineer @Groundhog Technologies Inc.2021 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
University of Illinois at Urbana-Champaign, School of Information Sciences
・
Information Management
Principal @Kin + Carta2022 ~ Present
・
Director Data
Within one month
patterns across ingestion, storage, processing, and reporting layers Trusted leader across sales, recruiting, contract negotiations, delivery, and team leadership pillars Expert on data visualization and analysis best practices and building targeted data aggregates to simplify these processes JulyJanuary 2022 Principal Cascade Data Labs Designed and built end-to-end data pipelines, analysis tools, ML/AI artifacts to meet client use cases. Primarily worked in Python, SQL, Tableau, and Databricks. Obtained subject matter expertise in Tableau and Adobe Experience. Team leader / delivery lead for major eCom client. Experience in Redshift and Snowflake. Developed and
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
University of Pennsylvania
・
EconomicsExpertise & Innovation Lead, Cloud @fifty-five2023 ~ Present
・
Cloud Solution Architect
Within one month
Employed
Full-time / Interested in working remotely
4-6 years
國立政治大學
・
Computer ScienceSoftware Engineer @SculptSoft2021 ~ Present
・
Python Developer
More than one year
Employed
Full-time / Interested in working remotely
4-6 years
Government Engineering College
・
Bachelor of Engineering
數據分析工程師 @ASE Group Global2022 ~ Present
・
PM/產品經理/專案管理
Within one month
蘇庭恩 Lyndon Su 數據分析/系統分析/專案管理 Mobile：Email： [email protected] 工作經歷 Data Analyst Engineer 日月光半導體製造股份有限公司 • 2022/09 - Present Responsibilities 1 數據倉儲PM｜ 部門數據倉儲規劃& Data Pipeline建立 管理部門內部報表人力支援分配與規劃 2 數據決策平台｜ 建立採購員議
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
銘傳大學
・
應用統計資料科學學系
SQL Server Database Administrator & Linux Systems Administrator @OAG Analytics2019 ~ Present
・
SQL Server Database Administrator & Linux Systems Administrator
More than one year
Patrick Sandrin, Tchatchoua Mbada DevOps Engineer & Site reliability engineer & AWS Engineer & Linux Systems Administrator & SQL Database Administrator Houston, TX, [email protected] Experienced IT professional working for almost 10 years in the IT field. My knowledge and experience include: - SQL Database administrator (DBA) with about 10 years of production support experience in designing, testing and supporting next-generation database solutions in SQL Server environments (SQL server installation, implementation & migration - performance running & capacity monitoring - backup & recovery - failover cluster & always ON - Database maintenance - ETL - SSRS - SSAS - SSIS) - Linux Systems Administrator with about 6 years of experience in troubleshooting network
Full-time / Interested in working remotely
6-10 years
Ankara University
・
Bachelor of Science, Computer Science
Technical Program Manager @Google2022 ~ Present
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within two months
Kigo Chen Experienced Data Scientist with a demonstrated history of working in the semiconductors and E-commerce industry. As full-stack Data Scientist , specialized skills in systematic AI/ML solutions from data pipeline, modeling to serving with Scala/Python/Spark and also architecture design. Aim to turn data-driven evidence into bussiness-decision making with systematic AI/ML solutions for my clients. Micron Technology Sr. Data Science Engineer Taichung，TW Mail: [email protected] Working Experience Sr. Data Scientist Micron Technology, 2016/12 - Current As a technique lead
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
國立清華大學
・
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Definition of Reputation Credits
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Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Current status
Job Search Progress
Professions
Fields of Employment
Work experience
Management
Skills
Languages
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Positions
Job types
Locations
Remote
Freelance
Educations
School
Major
Skills
Backend Data Systems
- API design: Developing RESTful APIs, lightweight query languages, real-time streaming over WebSockets
- ETL and archiving: Batch and streaming ingestion, selecting and optimizing databases for different access patterns, custom scripts to tame unruly datasets
- Tools: Python (Django, Flask, NumPy), Node.JS, Postgres + PostGIS, AWS Redshift
User Interface Engineering
- Single Page Applications: Creating browser applications with routing, text and map-based search, and OAuth login
- Data Visualization: Combining charts, maps, and text to provide interactive context about a dataset
- Tools: JavaScript (ES6), Ember, React, Sass, Leaflet, HighCharts
Cloud Infrastructure
- Continuous Delivery: Reliable feature delivery with build pipelines that run test suites and deploy updates across production servers
- Tools: AWS (EC2, Elastic Beanstalk, Lambda, Kinesis, and many more), Ansible, NGINX, Unix scripting
Experience & Education
Software Engineer | Sourceress | October 2017 - Present
Software Engineer | Argonne National Lab - Urban Center for Computation and Data | Sep 2015 - June 2017
Software Engineering Co-op | Rockwell Automation | Jan 2014 - Aug 2014
B.S. Computer Science | University of Pittsburgh | August 2011 - April 2015
Selected Projects
Sourceress
Artificial intelligence recruiter that uses tailor-made machine learning models to find great engineering candidates.
Engineer: October 2017 - Present
- Improved core infrastructure for combining human labels and machine learning-generated predictions to generate ratings on candidates.
- Co-wrote new search system that let contractors to perform complex searches over hundreds of thousands of candidate profiles in a few seconds (compared to old system which took minutes).
- Worked closely with business operations team to provide better metrics for contractor performance and develop features to improve contractor productivity.
Plenario (@Argonne National Lab)
Web application that enables space and time-based discovery of open data. Provides API for querying across datasets.
Lead Engineer: September 2015 - June 2017
- Took from prototype to production-ready application depended on by academic users and the City of Chicago's opengrid.io.
- Designed and implemented real-time data pipeline using AWS Kinesis, Lambda, and Redshift to ingest and stream data from the Array of Things sensor network.
- Built up engineering team by recruiting three new engineers and mentoring junior developers and interns.
- Improved response time of most important family of queries by a multiple of 10 by redesigning the database and optimizing client code.
- Rewrote ingestion process to improve reliability and scale with demand.
- Increased speed of feature delivery by migrating from hand-rolled EC2 instances with manual deployments to push-to-deploy with Elastic Beanstalk and Travis CI.
- Tools: Python (Flask), JavaScript (Ember for frontend, Node for streaming pipeline)
Community
Talks
- JavaScript for Data Analysts, March 2017
- Chapin Hall Center for Children
- Open Data, Open Government, Feb 2017
- PyData Chicago Meetup
- Databases for Smart Cities, Nov & Dec 2016
- Guest lecture at University of Chicago and DePaul University Masters database courses
- SQLAlchemy: Beyond ORM, Dec 2015
- Chicago Python Meetup
Volunteering
- PyData Chicago Meetup
- Build Night Host: Feb 2016 - Dec 2016
- Chicago Python Meetup
- Web Development Mentor: Spring 2016
Panels
- Open Data Roundtable on Public-Private Collaboration, June 2016
- White House Office of Science and Technology Policy
- International Symposium on Urban Living Labs, February 2016
- UK Collabatorium for Research on Infrastructure and Cities
Skills
Backend Data Systems
- API design: Developing RESTful APIs, lightweight query languages, real-time streaming over WebSockets
- ETL and archiving: Batch and streaming ingestion, selecting and optimizing databases for different access patterns, custom scripts to tame unruly datasets
- Tools: Python (Django, Flask, NumPy), Node.JS, Postgres + PostGIS, AWS Redshift
User Interface Engineering
- Single Page Applications: Creating browser applications with routing, text and map-based search, and OAuth login
- Data Visualization: Combining charts, maps, and text to provide interactive context about a dataset
- Tools: JavaScript (ES6), Ember, React, Sass, Leaflet, HighCharts
Cloud Infrastructure
- Continuous Delivery: Reliable feature delivery with build pipelines that run test suites and deploy updates across production servers
- Tools: AWS (EC2, Elastic Beanstalk, Lambda, Kinesis, and many more), Ansible, NGINX, Unix scripting
Experience & Education
Software Engineer | Sourceress | October 2017 - Present
Software Engineer | Argonne National Lab - Urban Center for Computation and Data | Sep 2015 - June 2017
Software Engineering Co-op | Rockwell Automation | Jan 2014 - Aug 2014
B.S. Computer Science | University of Pittsburgh | August 2011 - April 2015
Selected Projects
Sourceress
Artificial intelligence recruiter that uses tailor-made machine learning models to find great engineering candidates.
Engineer: October 2017 - Present
- Improved core infrastructure for combining human labels and machine learning-generated predictions to generate ratings on candidates.
- Co-wrote new search system that let contractors to perform complex searches over hundreds of thousands of candidate profiles in a few seconds (compared to old system which took minutes).
- Worked closely with business operations team to provide better metrics for contractor performance and develop features to improve contractor productivity.
Plenario (@Argonne National Lab)
Web application that enables space and time-based discovery of open data. Provides API for querying across datasets.
Lead Engineer: September 2015 - June 2017
- Took from prototype to production-ready application depended on by academic users and the City of Chicago's opengrid.io.
- Designed and implemented real-time data pipeline using AWS Kinesis, Lambda, and Redshift to ingest and stream data from the Array of Things sensor network.
- Built up engineering team by recruiting three new engineers and mentoring junior developers and interns.
- Improved response time of most important family of queries by a multiple of 10 by redesigning the database and optimizing client code.
- Rewrote ingestion process to improve reliability and scale with demand.
- Increased speed of feature delivery by migrating from hand-rolled EC2 instances with manual deployments to push-to-deploy with Elastic Beanstalk and Travis CI.
- Tools: Python (Flask), JavaScript (Ember for frontend, Node for streaming pipeline)
Community
Talks
- JavaScript for Data Analysts, March 2017
- Chapin Hall Center for Children
- Open Data, Open Government, Feb 2017
- PyData Chicago Meetup
- Databases for Smart Cities, Nov & Dec 2016
- Guest lecture at University of Chicago and DePaul University Masters database courses
- SQLAlchemy: Beyond ORM, Dec 2015
- Chicago Python Meetup
Volunteering
- PyData Chicago Meetup
- Build Night Host: Feb 2016 - Dec 2016
- Chicago Python Meetup
- Web Development Mentor: Spring 2016
Panels
- Open Data Roundtable on Public-Private Collaboration, June 2016
- White House Office of Science and Technology Policy
- International Symposium on Urban Living Labs, February 2016
- UK Collabatorium for Research on Infrastructure and Cities