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Not open to opportunities
Taipei, Taiwan
Taiwan
No matches found.
Education / Training / Recruitment
Tech
Less than 1 year
1-2 years
2-4 years
4-6 years
6-10 years
10-15 years
More than 15 years
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On
Shih Hsin University
世新大學
Taipei, Taiwan
Indonesia
Taiwan
台灣
Jakarta, Indonesia
Taipei City, Taiwan
台北市, 台灣
Jawa Barat, Indonesia
West Java, Indonesia
East Java, Indonesia
Jawa Timur, Indonesia
United States
Banten, Indonesia
New Taipei City, Taiwan
新北市, 台灣
Taoyuan City, Taiwan
Central Java, Indonesia
Deutschland
Germany
Jawa Tengah, Indonesia
Full-time
AWS
Compensation and Benefits Management
Databases
Engagement
GCP
Git
Human Resource Management
Laravel Framework
Linode
Memcached
No
Within one year
More than one year
HR
Team Lead
No matches found.
No matches found.
2015
Current company
Off
Select all
Manpower
Zero Zero Robotics Taipei Branch
Interested in working remotely
Part-time freelancer
No matches found.
Chinese
English
4-6 years
6-10 years
10-15 years
More than 15 years
Taipei, Taiwan
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Avatar of 雷克魯.
Avatar of 雷克魯.
雷克魯
Team Lead
Within one year
台灣對接的法規，並且嘗試了解不同金流管道費率與優缺點，去提升專案最終完整度。 技能 Program PHP Laravel MySQL Memcache Redis Supervisor Host Host Architecture Ali AWS GCP Linode Management Lead team Scrum Water fall Scheduling Market survey 工作經歷 經歷一，2020 年 4 月 - NOW 海外棋牌遊戲公司 , 台灣, 台北, 技術部 team leader 1.PHP Laravel 5.7 與 Think PHP 5
PHP
Laravel Framework
MySQL
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
逢甲大學
・
資訊工程
Avatar of Gladys Wang.
Avatar of Gladys Wang.
Gladys Wang
Past
Specialist @MANPOWER
・
2016 ~ 2018
HR
More than one year
Gladys (Wen-Ling) Wang  [email protected], Taiwan Work Experience Peloton Interactive Taiwan People Support Dec 2020 ~ SepProvide support on global on to offboarding life cycle process and related operation, improving and modifying global policies to fit into local procedure - In charge of all general People issues where required, acted as an cross functional communicator and active seeker to support business units to execute the management and concern - Build up various campaigns including Taiwan All Hands, birthday celebration, festival virtual family activities time; design and sourcing employee gifts. - Top down/ bottom up global projects including upgrading
Engagement
Compensation and Benefits Management
Human Resource Management
Unemployed
Full-time / Interested in working remotely
4-6 years
Shih Hsin University
・
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Within two months
Avatar of linsam.
linsam
Sr. Data Engineer
17LIVE
・
2021 ~ Present
Taipei, 台灣
Professional Background
Current status
Employed
Job Search Progress
Open to opportunities
Professions
Data Engineer, Python Developer, System Architecture
Fields of Employment
Information Services
Work experience
4-6 years
Management
None
Skills
Python
MySQL
Linode
API Development
Linux
RabbitMQ
Celery
Nginx
Flask(Python)
Django(Python)
Git
docker swarm
Docker
docker-compose
Data Mining
Machine Learning
Traefik
Redis
ELK(ElasticSearch)
ELK
Prometheus
Grafana
Airflow
dolphindb
SQL
FastAPI
GKE
K8S
Real-Time Systems
GCP
Languages
English
・
Intermediate
Job search preferences
Positions
Data Solution Architect, Sr. Data Engineer, Data Engineer Manager
Job types
Full-time
Locations
Taipei, 台灣, Taiwan
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
NDHU
Major
統計
Print
Profile 02 00@2x 71843ef6a0df47d6255a9c0436c409dcd5cd81f6514c51a6b2a93339d82bbff6

linsam

data engineer、backend engineer

 • 0972724528 •  台灣  •  [email protected]

5~6 years experience with data engineer and soft engineer. (Distributed Queue System, Database, Web Crawling, RESTful API, ETL, Docker, CICD, GCP, K8S, Airflow ...etc.)

1~2 years experience with data science. (data analysis, machine learning and deep learning)

Work Experience


17 Live -  Senior Data Engineer (IC5), May. 2021 - now

• Refactor ETL, create a airflow project by Cloud Composer to transfer ETL tools from digdag to airflow and transfer ETL develop method from shell script to python. 
• Maintenance BigQuery more than 100 tables. 
• Create pipelines from mysql and mongo to bigquery. 
• Create a good development culture, including the introduction of CICD, dev-stage-uat-master, release news, unit tests and test coverage. 
• Using Airflow unified scheduler job, like cloud function scheduler, BQ scheduler, crontab, and ML model by R or Python ...etc.
• Reduce Data Team 25% cost.
• Create Data Team's first real-time ETL system via GKE, Pub/Sub and Memorystore for sending push notifications to users.
• Create Data Team's first API via GKE for ML model, include achieve graceful shutdown, and run stress test via ApacheBench, and setup auto-scaling by hpa. 95% latency is under 200ms and RPS is over 200.
• Create a Tagging System for tracking groups of users. 
• Create a BigQuery Resource Monitor to monitor users BQ slot and query count usage. 
• Create document culture by confluence.
• The finalists of Break the Norm awards on 2021-Q3 and 2021-Q4. 
• Assist in interview more than 10 new data engineer. 
• Mentor junior data engineers to be more effective individual contributors.
• Apply the data team's models to the company's APP. (automatically send push notifications and in-app messages) 
• Automatically update recommend streamer list via data team's models to the company's APP.

SinoPac Holdings -  Software Engineer(Python), Nov. 2019 - May. 2021

• Develop python Api (shioaji) for stock/option/future place orde and account. 

• Develop C# Api (shioaji) for stock/option/future place orde and account, and setup CI/CD with GitHub actions.

• Deploy test system for simulate trading by docker swarm.

• Collecting distributed system Log by elk, grafana and prometheus. 13GB log data/daily.

• Monitor distributed system and alert chatbot.

• Develop a transaction-by-trade and odd lot trading API.

Open Up Summit Speaker ( FinMind ) - 2019-12-01

Tripresso - Data Engineer, Oct. 2018 - Nov. 2019 

• Analysis travel data and build a machine learning model. Estimating increase 3% orders (revenue). 

• Maintain and develop an ETL distributed queuing system with 20 machines. 

• Optimize the ETL system reduced more than 50% execution time. 

• Develop new product crawler let product volume increase 1.5%. 

• Making analysis BI charts provide for other departments.

Mandatory Military Service，Oct. 2017 - Oct. 2018

NDHU - RA, Mar. 2016 - Aug. 2017

Analysing G7 financial data. Model validation and parameter estimation by regression models ( SUR, MLE, Bootstrapping ). And comparing single equation estimators and confidence interval with system equation.

NDHU - TA, Sep. 2015 - Jul. 2017

Calculus, Linear Algebra, Statistics.

Projects

FinMind Open data Api


Open source financial data, more than 50 dataset, provide Api. 

More than 2,000 people registered.

2,000 stars on github.

Automatic update daily by docker swarm, distributed queue system rabbitmq and celery ( 10 cloud machines ). 

Total more than 1 billion data, 10 million streaming data per day.

Architecture diagram.


Bosch Production Line Performance - Kaggle Post-competition analysis, top 6% rank.

Highly imbalance data, ratio is 1000 : 1, 10 GB dataset size. And the data is 50% missing value. More than 4000 variables, but I build models by only 50 features.

Rossmann Store Sales - Kaggle 

Post-competition analysis, top 10% rank.

Time series problem. Building models predict sales after 48 days.

Grupo Bimbo Inventory Demand - Kaggle

Post-competition analysis, top 8% rank. 

Time series problem, eighty millions data size. Building models predict inventory demand after 2 weeks.

Instacart Market Basket Analysis - Kaggle

Real competition, top 25% rank. 

Predicting which products will an consumer purchase again.


 Verification code to text

Create python package of Taiwan Train Verification Code to text.

The model is made by keras-CNN.

Skills

Distributed Queue System

1. Rabbitmq & Celery & Flower. 

2. 8 nodes ( Cloud ) distributed queue system for web crawling. 

3. Deploy by Docker and GKE.

4. Graceful Shutdown.

Database

1. MySQL ( RDBMS ). 

2. Redis ( NoSQL ). 

3. Dolphindb ( TSDB ).

GCP

1. Pub/Sub.
2. GKE ( K8S ).
3. GCE.
4. BQ.
5. Composer.
6. MemoryStore.

CI/CD

1. Create automated tests and automated deploy for the FinMind team. 

2. Using gitlab runner. 

3. CD for auto publish python package. 

4. CD for auto update and deploy new version service.

Log Collect & Monitor

1. Distributed system log collect by elk.  

2. Prometheus and Grafana. Monitor user usage, request latency, request count 

3. Monitor by telegram bot and slackbot.

4. Monitor vm and container by Netdata and cadvisor.


data pipeline

1. Design data pipeline for crawler, backend and analysis by airflow.
2. Design more 200 ETL by airflow.
3. Build airflow by composer
4. Build a real-time pipeline for sending push notifications to users

Machine Learning

xgboost, random forest, svm. statistics - ols, lasso.

Web Crawling

1. Python - request, BeautifulSoup, lxml, selenium. 

2. Auto recognition captcha code by CNN model.

Data Mining

Python - numpy, pandas, sklearn. 

R - parallel, dplyr, data.table, mice.

WEB

1. https://finmindtrade.com/ 

2. nginx

3. frontend - vue 

4. backend - python 

5. traefik.

API

1. FastAPI.
2. Websocket.
3. Loading Balance.
4. Async.
5. Graceful Shutdown.

Stress Test 

1. ApacheBench.
2. Upper bound of FinMind api is 8000/minute request.


Education

National Dong Hwa University, Master of Science,  Sep. 2017.

Major : Mathematics and Statistics.

Tamkang University. Bachelor of Science, Sep. 2015.

Major : Mathematics

Languages

R, Python. Basic in English and proficient in Chinese.

Resume
Profile
Print
Profile 02 00@2x 71843ef6a0df47d6255a9c0436c409dcd5cd81f6514c51a6b2a93339d82bbff6

linsam

data engineer、backend engineer

 • 0972724528 •  台灣  •  [email protected]

5~6 years experience with data engineer and soft engineer. (Distributed Queue System, Database, Web Crawling, RESTful API, ETL, Docker, CICD, GCP, K8S, Airflow ...etc.)

1~2 years experience with data science. (data analysis, machine learning and deep learning)

Work Experience


17 Live -  Senior Data Engineer (IC5), May. 2021 - now

• Refactor ETL, create a airflow project by Cloud Composer to transfer ETL tools from digdag to airflow and transfer ETL develop method from shell script to python. 
• Maintenance BigQuery more than 100 tables. 
• Create pipelines from mysql and mongo to bigquery. 
• Create a good development culture, including the introduction of CICD, dev-stage-uat-master, release news, unit tests and test coverage. 
• Using Airflow unified scheduler job, like cloud function scheduler, BQ scheduler, crontab, and ML model by R or Python ...etc.
• Reduce Data Team 25% cost.
• Create Data Team's first real-time ETL system via GKE, Pub/Sub and Memorystore for sending push notifications to users.
• Create Data Team's first API via GKE for ML model, include achieve graceful shutdown, and run stress test via ApacheBench, and setup auto-scaling by hpa. 95% latency is under 200ms and RPS is over 200.
• Create a Tagging System for tracking groups of users. 
• Create a BigQuery Resource Monitor to monitor users BQ slot and query count usage. 
• Create document culture by confluence.
• The finalists of Break the Norm awards on 2021-Q3 and 2021-Q4. 
• Assist in interview more than 10 new data engineer. 
• Mentor junior data engineers to be more effective individual contributors.
• Apply the data team's models to the company's APP. (automatically send push notifications and in-app messages) 
• Automatically update recommend streamer list via data team's models to the company's APP.

SinoPac Holdings -  Software Engineer(Python), Nov. 2019 - May. 2021

• Develop python Api (shioaji) for stock/option/future place orde and account. 

• Develop C# Api (shioaji) for stock/option/future place orde and account, and setup CI/CD with GitHub actions.

• Deploy test system for simulate trading by docker swarm.

• Collecting distributed system Log by elk, grafana and prometheus. 13GB log data/daily.

• Monitor distributed system and alert chatbot.

• Develop a transaction-by-trade and odd lot trading API.

Open Up Summit Speaker ( FinMind ) - 2019-12-01

Tripresso - Data Engineer, Oct. 2018 - Nov. 2019 

• Analysis travel data and build a machine learning model. Estimating increase 3% orders (revenue). 

• Maintain and develop an ETL distributed queuing system with 20 machines. 

• Optimize the ETL system reduced more than 50% execution time. 

• Develop new product crawler let product volume increase 1.5%. 

• Making analysis BI charts provide for other departments.

Mandatory Military Service，Oct. 2017 - Oct. 2018

NDHU - RA, Mar. 2016 - Aug. 2017

Analysing G7 financial data. Model validation and parameter estimation by regression models ( SUR, MLE, Bootstrapping ). And comparing single equation estimators and confidence interval with system equation.

NDHU - TA, Sep. 2015 - Jul. 2017

Calculus, Linear Algebra, Statistics.

Projects

FinMind Open data Api


Open source financial data, more than 50 dataset, provide Api. 

More than 2,000 people registered.

2,000 stars on github.

Automatic update daily by docker swarm, distributed queue system rabbitmq and celery ( 10 cloud machines ). 

Total more than 1 billion data, 10 million streaming data per day.

Architecture diagram.


Bosch Production Line Performance - Kaggle Post-competition analysis, top 6% rank.

Highly imbalance data, ratio is 1000 : 1, 10 GB dataset size. And the data is 50% missing value. More than 4000 variables, but I build models by only 50 features.

Rossmann Store Sales - Kaggle 

Post-competition analysis, top 10% rank.

Time series problem. Building models predict sales after 48 days.

Grupo Bimbo Inventory Demand - Kaggle

Post-competition analysis, top 8% rank. 

Time series problem, eighty millions data size. Building models predict inventory demand after 2 weeks.

Instacart Market Basket Analysis - Kaggle

Real competition, top 25% rank. 

Predicting which products will an consumer purchase again.


 Verification code to text

Create python package of Taiwan Train Verification Code to text.

The model is made by keras-CNN.

Skills

Distributed Queue System

1. Rabbitmq & Celery & Flower. 

2. 8 nodes ( Cloud ) distributed queue system for web crawling. 

3. Deploy by Docker and GKE.

4. Graceful Shutdown.

Database

1. MySQL ( RDBMS ). 

2. Redis ( NoSQL ). 

3. Dolphindb ( TSDB ).

GCP

1. Pub/Sub.
2. GKE ( K8S ).
3. GCE.
4. BQ.
5. Composer.
6. MemoryStore.

CI/CD

1. Create automated tests and automated deploy for the FinMind team. 

2. Using gitlab runner. 

3. CD for auto publish python package. 

4. CD for auto update and deploy new version service.

Log Collect & Monitor

1. Distributed system log collect by elk.  

2. Prometheus and Grafana. Monitor user usage, request latency, request count 

3. Monitor by telegram bot and slackbot.

4. Monitor vm and container by Netdata and cadvisor.


data pipeline

1. Design data pipeline for crawler, backend and analysis by airflow.
2. Design more 200 ETL by airflow.
3. Build airflow by composer
4. Build a real-time pipeline for sending push notifications to users

Machine Learning

xgboost, random forest, svm. statistics - ols, lasso.

Web Crawling

1. Python - request, BeautifulSoup, lxml, selenium. 

2. Auto recognition captcha code by CNN model.

Data Mining

Python - numpy, pandas, sklearn. 

R - parallel, dplyr, data.table, mice.

WEB

1. https://finmindtrade.com/ 

2. nginx

3. frontend - vue 

4. backend - python 

5. traefik.

API

1. FastAPI.
2. Websocket.
3. Loading Balance.
4. Async.
5. Graceful Shutdown.

Stress Test 

1. ApacheBench.
2. Upper bound of FinMind api is 8000/minute request.


Education

National Dong Hwa University, Master of Science,  Sep. 2017.

Major : Mathematics and Statistics.

Tamkang University. Bachelor of Science, Sep. 2015.

Major : Mathematics

Languages

R, Python. Basic in English and proficient in Chinese.