Matthew Meyer
Senior Devops Specialist and Data Engineer @Alaska Airlines
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WORK HISTORY
Senior Devops Specialist and Data Engineer @Alaska Airlines
Seattle, WA, US
Authored Medallion architecture and DBT pipeline design for migrating 500+ Hawaiian Airlines Snowflake data objects to Databricks, establishing a scalable foundation for ongoing data modernization. • Engineered 7 Azure DevOps CI/CD deployment pipelines leveraging Managed Identity and Databricks Asset Bundles – reduced pipeline deployment from 3 days to 15 minutes (99% reduction). • Right-sized Databricks compute and SQL warehouse resources, saving up to $100K in over-provisioned costs. • Built a comprehensive automated QA test suite, eliminating 500+ hours of manual testing effort and improving release confidence.
EDUCATION
Westwood College of Technology - Anaheim
Bachelor’s Degree
University of Wisconsin-Green Bay
Bachelor’s Degree
ABOUT MATTHEW MEYER
I\'m passionate about harnessing the power of data and cloud technology to create impactful solutions that drive real change. My journey began with a degree in Computer Science and has evolved into a fulfilling career where I get to blend my love for technology with innovative problem-solving. Over the last several years, I’ve had the pleasure of working with diverse teams to architect systems that not only meet business needs but also transform how organizations operate.One of my proudest moments was when I led the architecture of an IaaS IoT system for traffic detection at Iteris. This project utilized platforms like Azure DevOps, Cosmos DB, Azure Event Hubs, Spark, and Databricks, enabling seamless integration for over 75 municipalities. It’s rewarding to see how technology can enhance urban mobility and improve community experiences. The challenges were many, but they led to some creative solutions that I\'m proud of. Agile Methodologies: Agile Methodologies, Confluence, Jira, Teamwork Cloud Computing: AWS S3, Azure Data Lake, Azure DevOps, Azure Kubernetes Services (AKS), Azure Event Hubs, Cloud-based Infrastructure Big Data: Databricks (Snowflake equivalent), Azure Synapse Analytics (BigQuery equivalent), Apache Spark, Azure Data Factory (Apache Airflow equivalent), Spark (dbt), Data Lakes, Data Warehouses, Relational Databases, NoSQL, Big Data Technologies, Data-driven Product Development, Azure Data Lake Data Analytics: Power BI (Looker, Superset equivalent), Tableau, Reporting Systems, Telemetry, Transportation Analytics, Azure Resource Utilization, Artificial Intelligence (AI) for Analytics Data Operations: AI/ML Applications, Data Analysis, Data Systems, Data Modeling, Schema Design, Data Warehousing, Data Freshness, Automation Data Processing: Kafka, Data Pipelines, Workflow Orchestration Tools, GPU-accelerated Clusters, Auto-scaling, Data Ingestion, Data Quality Management Programming Languages: Scala, Java, Python, SQL, C#, 15+ others Security: Policy Compliance, Access Control, Data Governance, OAuth DevOps: DevOps Practices, CI/CD Pipelines, Git, Version Control Systems, GitOps, Blue-Green Deployment, GitHub Software Engineering: Problem Solving, Debugging, REST APIs, Software Design Patterns, Software Engineering, Containerization, Microservices.NET Core
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