Data Engineering professional experienced in designing and building out robust, scalable, fault tolerant data pipelines to efficiently ingest, enrich, and deliver large volumes of data for myriad batch and streaming use cases.
๐ Nationality | ๐บ๐ธ United States |
๐ก Residency | ๐บ๐ธ United States |
๐ Location | ๐น๐ผ Taiwan |
Remote OK | rok.co/@jwittbold |
GitHub | jwittbold |
https://www.linkedin.com/in/jackwittbold | |
Skilled in | python sql scala bash spark hadoop airflow kafka docker kubernetes tableau git postgresql mysql mssql nosql azure databricks etl elt data pipelines data wrangling data modeling data warehousing |
Fluent in | englishmandarin |
Preferred timezone | +8 |
Preferred annual pay (min) | $111,000/year |
Preferred hourly pay (min) | $50/hour |
Last seen | 1 year ago |
Signed up | 1 year ago |
Badges |
๐จโ๐ป Remote worker ๐จ Maker ๐ Early adopter |
2021 - Now: GDELT Pipeline
2021 - 2022: Data Engineer Fellow @ Springboard
2005 - 2009: BFA Photography & Imaging @ Art Center College of Design