Jihwan Lee is a Data Engineer with nine years of experience building backend systems and data infrastructure, currently working on IAM, backend commerce search, and data engineering at NAVER Corp in South Korea. He blends production-focused engineering with research roots from Yonsei University, where he contributed to a TLSM (Tiered Log-Structured Merge-Tree) NoSQL design leveraging non-volatile memory and open-sourced leveldb-pmdk. His background includes RDBMS monitoring and ETL work at TmaxData and hands-on connector development for analytic distributed DBMS projects integrating Spark, Redis, and RocksDB. Comfortable across Hadoop/Spark ecosystems, Scala, and storage-level system design, he moves between low-level performance tuning and scalable data pipelines. Colleagues describe him as a pragmatic problem-solver who frames research insights into reliable engineering deliverables.
Implementation to connect SparkSQL and Redis in form of Relational Model
Contributions:28 commits in 1 year 3 months
redisrelational-modelspark-sql
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