Taffarel De Lima Oliveira is a Kafka specialist and cloud-native engineer with 11 years of experience building resilient, observable platforms and event-driven systems. He has led end-to-end cloud migrations and GitOps-driven infrastructures using Crossplane, ArgoCD, and Kubernetes, and has repeatedly designed self-managed observability stacks (Prometheus/Mimir, Loki, Tempo, Grafana) integrated with OpenTelemetry. His work spans SRE, DevOps, and platform engineering roles where he optimized ML pipelines (reducing runtimes from a week to hours), implemented Outbox/Kafka patterns with Strimzi, and cut costs by moving from SaaS to self-hosted solutions. Based in Madrid, he combines deep operational know-how with hands-on architecture skills and a practical focus on reliability, scalability, and repeatable automation. An engineer who describes himself as a “Master of None,” he brings broad curiosity and a proven track record of turning complex distributed systems into manageable, observable platforms.
11 years of coding experience
14 years of employment as a software developer
Grupo Drummond
Big Data, Big Data at edX - CS100.1x Introduction to Big Data with Apache Spark
Big Data, Big Data at edX - CS190.1x Scalable Machine Learning
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Taffarel De Lima Oliveira - Kafka Specialist at OSO