Summary
Elena Mwangi is a data engineer with nine years’ experience designing and operating production data systems across Nairobi and the cloud. She has built real-time processing pipelines, hybrid recommendation models, and automated ETL/validation workflows using tools like Cloudflare Workers, Elasticsearch, LightFM, Prefect, Scrapy and Neo4j, moving projects from sensor-level ingestion to API-driven product features. Her background spans database migrations and optimization (MySQL on Azure to Neo4j on Linux VMs), custom scraping and lead enrichment, and IoT time-series analytics for resource-constrained environments. Elena combines hands-on implementation with automation—daily retraining, scripted HR tooling and documented schemas—to reduce manual overhead and improve observability. Continuously upskilling through fellowships and cloud DevOps training, she brings a practical blend of data science, engineering and DevOps to deliver measurable business impact.
9 years of coding experience
4 years of employment as a software developer
ALX-T Cloud DevOps Engineer Nanodegree Program, ALX-T Cloud DevOps Engineer Nanodegree Program at Udacity
Data Science, Data Science at Moringa School
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Jomo Kenyatta University of Agriculture and Technology
Mekatilili Fellowship
Data Science Fellowship Program, Data Science Fellowship Program at AfterWork
English, Swahili