Justin (randoneering)

• Ensures data warehouse resilience, availability, recovery, maintenance, data integrity, and capacity planning requirements. • Provides a high degree of coordination between user, technical, application and corporate entities to ensure effective data management as a corporate enterprise. • Work with and provide mentorship and direction to the Data Engineer I to meet objectives • Understand and align pipeline development with business requirements • Capture and maintain metadata • Validate and monitor data integrity to ensure data quality • Identify ways to improve data reliability, efficiency, and quality • Tune SQL and pipelines to limit consumption spend • Recommend process improvements to the team

Founder and Principal Engineer at Randoneering, LLC, where I provide fractional IT infrastructure support for startups and small businesses. I help clients build infrastructure from the ground up, improve and modernize existing systems, and provide short-term or retainer support when they need senior-level help. My focus is practical delivery, clear documentation, and training so clients can maintain what I build long after the engagement ends.

• Database Design and Implementation: Design, develop, and implement cloud-based database solutions in collaboration with development teams. • Cloud Database Administration: Manage, monitor, and optimize cloud database instances to ensure high availability, performance, and data integrity. Configure and maintain database backups, replication, and disaster recovery strategies. • Performance Tuning and Optimization: Identify and resolve database performance issues, including query optimization, index tuning, and resource utilization. Monitor database performance metrics and implement improvements to optimize performance. • Data Security and Compliance: Implement and maintain appropriate security measures and access controls to protect sensitive data stored in the cloud database. Ensure compliance with data protection regulations and industry best practices. • Database Monitoring and Troubleshooting: Monitor database activity and performance using database monitoring tools. Diagnose and resolve database-related issues and incidents, working closely with cross-functional teams to ensure timely resolution. • Database Capacity Planning: Estimate future database storage and performance requirements based on data growth projections. Plan and implement database capacity upgrades or scaling activities to accommodate evolving business needs. • Database Automation and Scripting: Develop and maintain database automation scripts, workflows, and configurations using scripting languages (e.g., SQL, Python) and infrastructure- as-code tools (e.g., Ansible). Implement CI/CD practices for database deployment and management. • Collaboration and Communication: Collaborate with DevOps, QA, and product development teams to understand database requirements, provide technical guidance, and ensure effective integration with other systems. Communicate database-related updates, issues, and recommendations to relevant stakeholders.