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Mark Gardner

@markgardner1

Software Engineer at Google building Kafka-based event-driven integrations and real-time data pipelines for enterprise systems.

United States

Message

At Google, I design and manage Confluent Kafka clusters and build real-time data pipelines with Kafka Streams and Kafka Connect. My work includes migrating legacy systems to cloud-native architectures and establishing schema governance for data integrity.

At Microsoft, I worked on Kafka clusters and pipelines across multi-data-center and cloud environments, supporting real-time processing and legacy-system modernization. I’ve also mentored engineers in Kafka operations and event-driven architecture, and hold certifications in Kafka, AWS solutions architecture, and Docker.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

Google

Apr 2020 - Present (6 years 7 months)

Designed and managed Confluent Kafka clusters in a cloud environment, enhancing reliability of enterprise integration solutions. Developed real-time data pipelines using Kafka Streams and Kafka Connect, and mentored junior engineers on Kafka operations and best practices.

Confluent Kafka Streams Kafka Connect API KSQL Schema Governance DevOps Docker Kubernetes CI CD Java Python Event Driven Architecture Cloud Native Architecture Multi Datacenter Performance Monitoring High Availability

Software Engineer

Microsoft

Jul 2016 - Mar 2020 (3 years 8 months)

Configured and maintained Kafka clusters in a multi-data center setup, improving data flow reliability. Participated in modernizing monolithic applications with Kafka for real-time data processing and developed automation scripts for CI/CD using Docker and Kubernetes.