Summary
João Holanda is a senior software and data engineer with a decade of experience building high-volume streaming pipelines, data lakes, and machine learning platforms for startups and research institutes. Currently at Zwift he designs and operates Kafka- and Kubernetes-based telemetry pipelines, leveraging Java/Quarkus, Spark, Hive and ElasticSearch to process event-heavy workloads. Previously he led data engineering efforts at Pier and Instituto Atlântico, mentoring teams while implementing reproducible test environments, CI/CD, and production-ready ML microservices. His academic background (MSc in Computer Science) complements hands-on expertise in NLP, topic modeling and ML, which he has applied in both R&D and product contexts. Based in Ceará, Brazil, João combines research-driven approaches with pragmatic cloud-native engineering to deliver reliable, testable data platforms.
10 years of coding experience
8 years of employment as a software developer
System information Bachelor, Software Engineering, Multi-agents system and Software testing, System information Bachelor, Software Engineering, Multi-agents system and Software testing at Universidade Federal do Ceará
English, Portuguese