lewis User
@lewisuser
Data engineer and AI infrastructure specialist building scalable ELT and low-latency inference systems.
What I'm looking for
I am a data engineer and AI infrastructure specialist with production experience designing scalable ELT pipelines and real-time AI-powered data systems.
I have built low-latency inference workflows and fault-tolerant streaming pipelines, provisioning cloud-native infrastructure on AWS and GCP and deploying reproducible environments with Terraform.
My hands-on projects include a RAG-based intelligence system on Google Cloud Run serving sub-300ms inference requests and a high-throughput crypto ingestion pipeline processing ~500,000 events per six-hour window, with anomaly detection latency under 3 seconds.
I focus on turning fragmented data into reliable, automated intelligence systems, implementing observability with Prometheus and Grafana, and delivering measurable improvements such as 50% reductions in data delivery latency and elimination of 20+ hours of manual reporting weekly.
Experience
Work history, roles, and key accomplishments
Independent Data Engineer
Independent
Aug 2025 - Present (10 months)
Designed and deployed cloud-native RAG-based intelligence systems and Dockerized microservices on GCP achieving sub-300ms inference latency; implemented real-time crypto ingestion via Kafka processing ~500,000 events per 6-hour window and reduced anomaly detection latency to under 3 seconds.
Freelance Data Engineer
Freelance
Jan 2024 - Aug 2025 (1 year 7 months)
Optimized ETL and analytics pipelines for FinTech and analytics clients, reducing data delivery latency by up to 50% and automating reporting workflows that eliminated 20+ manual weekly hours.
Education
Degrees, certifications, and relevant coursework
Kenyatta University
Bachelor of Science, Telecommunication & Information Technology
Pursuing a Bachelor of Science in Telecommunication & Information Technology with coursework in programming, probability & statistics, digital electronics, and database systems; expected graduation in 2027.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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