Ricky Kim
Data Engineer
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
8 years of employment as a software developer
Data Science Immersive, Data Science Immersive at General AssemblyBachelor of Arts (BA), Fashion Management, Bachelor of Arts (BA), Fashion Management at London College of Fashion
English, Japanese, Korean, Chinese
Github Skills (20)
looker5
slash-commands4
chat3
slack3
slack-bot3
issue-tracking3
chatbot2
data-visualization2
sentiment2
sentiment-analysis2
machine-learning1
python1
pyspark1
prometheus-exporter1
security1
Programming languages (3)
Github contributions (5)
tthustla/twitter_sentiment_analysis_part1
Dec 2017 - Feb 2018
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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