Summary
Chenglong Zhang is a Senior Data Engineer and software architect with 11 years of experience building high-throughput distributed systems and data platforms that regularly process over 20TB of data daily. At Aylo he led the design and delivery of a Processing Cluster-as-a-Service (PCaaS) that standardizes on-demand Spark and Databricks clusters, removed infrastructure bottlenecks, and enabled zero-touch deployment for cross-functional teams. His strengths span cloud migrations (on‑prem Hive to GCP Databricks), real-time streaming from Kafka, Airflow orchestration, and Infrastructure as Code with Terraform and Rancher-backed Kubernetes. Comfortable across the stack, he has migrated monolithic Spring Boot ETL pipelines into containerized, horizontally scalable systems and automated observability with Prometheus/Grafana and Kibana. Holding a Master of Engineering from Concordia and a track record of turning legacy Hadoop ecosystems into modern, self-service data platforms, he’s passionate about building “as‑a‑service” infrastructure that empowers data-driven decisions.
11 years of coding experience
6 years of employment as a software developer
Master of Engineering, Software Engineering, Master of Engineering, Software Engineering at Concordia University
Front-End Web Development Nanodegree, Web development, Front-End Web Development Nanodegree, Web development at Udacity
Bachelor's Degree, Computer Science; Computer Science and Technology, Bachelor's Degree, Computer Science; Computer Science and Technology at 长春师范大学
Chinese, English, French