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Profile picture of Arpan Agrawal
Profile picture of Arpan Agrawal

Arpan Agrawal

Role: Expert in Scalable Distributed Databases and Data Engineering

Industry: Software Development

Accomplishments in my industry

  • Developed TuneIn at LinkedIn for automatic tuning of Hadoop and Spark jobs
  • Worked on vectorized query execution using SIMD intrinsics at Microsoft Research
  • Contributing to YugabyteDB internals at Yugabyte

About me

With a strong foundation in computer science from IIT Kanpur, my professional journey has been driven by a passion for developing and optimizing data-intensive systems. At LinkedIn, I developed TuneIn, a framework that automates the tuning of Hadoop and Spark jobs, enhancing performance and efficiency. This project not only showcased my ability to innovate but also my commitment to improving big data processing.

My tenure at Microsoft Research allowed me to delve into vectorized query execution using SIMD intrinsics, pushing the boundaries of database performance. Currently, at Yugabyte, I am deeply involved in the internals of YugabyteDB, focusing on multi-shard ACID transactions and ensuring the database is optimized for cloud-native applications. My work is a testament to my expertise in designing scalable distributed databases and adopting low-code platforms for data engineering.

Languages

  • English: professional
  • Hindi: native

My time zone

  • Asia/Kolkata

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