Suman Shil is a dedicated Software Engineer at Pinterest, where he specializes in developing robust big data and observability solutions. With a strong foundation in data structures and algorithms, Suman leverages his expertise in cloud computing and software-defined networking to tackle complex challenges in the...
Suman Shil is a dedicated Software Engineer at Pinterest, where he specializes in developing robust big data and observability solutions. With a strong foundation in data structures and algorithms, Suman leverages his expertise in cloud computing and software-defined networking to tackle complex challenges in the tech landscape. His current focus is on enhancing Pinterest's metric collection framework, which is crucial for gathering application and system metrics from thousands of hosts at scale. This initiative not only improves the efficiency of data collection but also ensures that the platform can maintain high performance and reliability as it scales.
Suman has played a pivotal role in the development of a Flink job for pre-aggregation, which optimizes data processing and reduces storage costs associated with metric storage. His work on the alert framework further enhances Pinterest's ability to monitor system performance and respond proactively to potential issues. By utilizing technologies such as Kubernetes, Docker, Kafka, and Redis, Suman is at the forefront of implementing distributed systems that ensure seamless data flow and storage, while also focusing on distributed consensus algorithms like Paxos and Raft.
Beyond his technical skills in Java, Golang, Python, and Scala, Suman's commitment to monitoring and observability is evident in his approach to building scalable solutions that prioritize real-time data processing. His contributions not only reflect his deep understanding of distributed transactions and storage but also his passion for creating systems that empower teams to make data-driven decisions. As Pinterest continues to grow, Suman's insights and innovations will undoubtedly play a critical role in shaping the future of data management and observability within the organization.
