This document contains information about a person including their site, email, areas of experience, and past projects. It also contains references to data engineering topics like data teams, data pipelines, Airbyte, BigQuery, dbt, and Metabase. Several quotes and concepts are mentioned around building data pipelines and the roles of data engineers and data analysts. Percentages and references are also included at the end.

1. 2022 / 09 / 29
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2. site: v123582.tw / line: weiwei63
mail: v123582@gmail.com
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Python JavaScript
Facebook Instagram
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- 2018
- 2017 (DSCONF)
- 2017 (MOPCON)
- 2016 Imagine Cup

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n 3

6. ☹

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12. 12
Reference: https://medium.com/life-of-small-data-engineer/data-pipeline-from-scratch-919c20042cb9

13. n Data Team = Data PM + Data Engineer
n Data User = Data Analyst

14. airbyte + BigQuery + dbt + metabase

16. Airbyte Open-Source Data Integration Platform

17. dbt Transform data in your warehouse

18. Metabase Business intelligence for everyone

19. A query is a question.
Metabase Business intelligence for everyone
The multiple dashboards based on questions.

20. n Data Team = Data PM + Data Engineer
Data Team
n Data User = Data Analyst
Data User

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Data Pipeline
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22. 22
Data Pipeline
Reference: https://www.red-gate.com/simple-talk/sql/database-delivery/database-lifecycle-management-for-etl-systems/

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80%

24. Reference: How to Become a Data Engineer: A Hype Profession or a Necessary Thing
Reference: Data Engineering Services

25. Reference: https://towardsdatascience.com/data-engineer-vs-data-scientist-bc8dab5ac124
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