Ricky Kim
Data Engineer II
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolRicky Kim is a London-based Data Engineer with nine years of experience building data models, ETL pipelines, and analytical platforms that translate business logic into production-ready solutions. He has strong hands-on expertise across Python, Pandas, SQL/SPARQL, AWS services (Neptune, Redshift, Sagemaker, S3) and has implemented both RDF knowledge graphs and relational schemas to serve analytics and ML needs. At MOO and previously Pirical he combined data modelling, workflow automation and data quality remediation to ensure reliable end-to-end pipelines. Earlier roles in analytics and retail buying give him a pragmatic business sense for translating stakeholder needs into measurable data products. He is comfortable presenting technical findings to varied audiences and advocates for data-driven decision-making to improve future outcomes. Unusually for a data engineer, his background spans fashion buying and international business development, which informs a commercial, product-focused approach to data engineering.
9 years of coding experience
4 years of employment as a software developer
Data Science Immersive, Data Science Immersive at General AssemblyMaster of Arts (MA) Fashion Curation, Master of Arts (MA) Fashion Curation at London College of Fashion, University of the Arts London
English, Japanese, Korean, Chinese
Github Skills (16)
twitter-sentiment-analysis7
looker6
convolutional-neural-networks5
sentiment-analysis4
slash-commands4
python4
word2vec4
pyspark3
chat3
chatbot3
slack3
data-visualization2
dataproc1
anaconda1
bert1
Programming languages (3)
Github contributions (5)
tthustla/twitter_sentiment_analysis_part1
Dec 2017 - Feb 2018
data preparation
Contributions:5 commits, 4 pushes, 1 branch in 2 months
tthustla/twitter_sentiment_analysis_part2
Dec 2017 - Feb 2018
Contributions:5 commits, 3 pushes, 1 branch in 2 months
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