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Managing and maintaining LinkedIn core data infrastructure services by building highly scalable distributed systems.- Worked in open-source Apache Helix, Apache Zookeeper, Apache Curator, and durable execution software Temporalio.- Created, developed, and tested a highly scalable and available internal client for ZK, with locking and semaphore systems, caching, and leader election.- Frameworks used: TiDB, TiKV, MySQL, Docker, Grafana, Prometheus.- Languages: Java, Python… Show more Managing and maintaining LinkedIn core data infrastructure services by building highly scalable distributed systems.- Worked in open-source Apache Helix, Apache Zookeeper, Apache Curator, and durable execution software Temporalio.- Created, developed, and tested a highly scalable and available internal client for ZK, with locking and semaphore systems, caching, and leader election.- Frameworks used: TiDB, TiKV, MySQL, Docker, Grafana, Prometheus.- Languages: Java, Python, GoOpen source contributions: https://github.com/apache/helix/pulls?q=is%3Apr+author%3Amarcosrico+is%3Aclosed+ Show less

NCAA Team Championship 2022Pac-12 Team Championship (2020, 2021, 2022)Pac-12 Champion 2022 (200 free relay)2x CSCAA Scholar All-American (2020, first team; 2022, honorable mention)2x Pac-12 Winter Academic Honor Roll (2021, 2022)

Back end: system and infra engineer intern at LinkedIn.Leveraged apache Airflow and integrated it with Task Framework, LinkedIn’s main workflow and scheduler management framework, to provide its customers with additional functionalities (i.e. conditional workflows, selective job retries, and an interactive GUI).Leveraged container orchestration system Kubernetes to automatically scale participants in Helix, effectively saving computing resources when the demand is low and meeting… Show more Back end: system and infra engineer intern at LinkedIn.Leveraged apache Airflow and integrated it with Task Framework, LinkedIn’s main workflow and scheduler management framework, to provide its customers with additional functionalities (i.e. conditional workflows, selective job retries, and an interactive GUI).Leveraged container orchestration system Kubernetes to automatically scale participants in Helix, effectively saving computing resources when the demand is low and meeting expectations when the demand is high.Written mostly in Python, with sections in Java and Golang. Show less

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