Summary
Overview
Work History
Education
Skills
Timeline
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Fante Sun

Toronto,ON

Summary

  • Deep understanding of key big data technologies, with a unique insight into data and computational optimization.
  • Experienced in multi-platform environments, including Docker (Classic and Cloud Native) and AWS Cloud.
  • Proven track record of delivering and deploying reliable, cost-effective systems.
  • Result-oriented with a strong focus on quality and commitment to continuous improvement.
  • Demonstrated resilience under pressure with a knack for initiative and technical problem-solving.
  • Energetic and excellent communicator, adept in articulating complex technical concepts.

Overview

11
11
years of professional experience

Work History

DevOps - Infrastructure & Architecture

Points
11.2020 - Current
  • Spearheaded the design and implementation of new infrastructure using Kubernetes and EKS for staging and production environments, managing 7 on-prem Kubernetes clusters and 1 EKS cluster.
  • Orchestrated seamless Kubernetes cluster provisioning using Infrastructure as Code (IaC) with Pulumi and Ansible.
  • Partnered with the data engineering team to enhance data pipelines, gaining insights from the source code of Hadoop, Spark, Flink, and HBase.
  • Implemented active-active replication between on-prem PostgreSQL and RDS PostgreSQL using pglogical, enhancing data availability and system resilience.
  • Centralized credential management using HashiCorp Vault, improving security and compliance.
  • Transitioned over 11 microservices to Kubernetes, bolstering the internal CI/CD tool with integrations to JIRA, GitLab, and Kubernetes.

Big Data Architect

China Telecom Cloud Computing
06.2015 - 07.2017
  • Led the creation of a big data cluster system using Hadoop (CDH), Spark, Hive, Zookeeper, and MySQL.
  • Managed ETL processes and designed a comprehensive data warehousing strategy across ODS, DWD, DWS, ADS, and DIM layers using Hive on Spark.
  • Boosted data throughput by 30% through Kafka and Spark, optimizing HDFS and Spark memory configurations.
  • Developed robust data processing, streaming, and messaging frameworks using Hadoop, Spark, Kafka, and Flink.

DevOps

China Telecom Cloud Computing
05.2013 - 06.2015
  • Built and maintained a continuous delivery platform integrating Jenkins, GitLab, Artifactory, and SonarQube.
  • Managed the cloud-native platform, focusing on Kubernetes and Docker.
  • Contributed to system architecture design and maintenance, including monitoring systems (Prometheus, Grafana), automation platforms (Ansible), and database CMDB development.

Education

Bachelor of Science - Information Technology

York University
Toronto, ON
09.2020

Skills

  • Big Data Ecosystem: Expertise in Hadoop (HDFS, MapReduce, YARN), Hive, HBase, ZooKeeper, Flume/Sqoop, Azkaban/DolphinScheduler, Kafka, Spark, Flink
  • Operating Systems: Proficient in Linux
  • Cloud Platforms: Extensive experience with AWS
  • Infrastructure as Code: Proficient in Pulumi for AWS resource management (RDS, EKS)
  • DevOps Tools: Kubernetes, Artifactory, GitLab Runner Pipelines, Docker, Vault, Ansible, Rancher
  • Logging & Monitoring: Proficient with Prometheus, Grafana, Splunk, AlertManager
  • Database Management: Skilled in MySQL, PostgreSQL
  • Programming Languages: Java, Scala, Python, Shell Scripting

Timeline

DevOps - Infrastructure & Architecture

Points
11.2020 - Current

Big Data Architect

China Telecom Cloud Computing
06.2015 - 07.2017

DevOps

China Telecom Cloud Computing
05.2013 - 06.2015

Bachelor of Science - Information Technology

York University

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Fante Sun