About

Hifzan Khan is a Senior Data Engineer at Elsevier with over 6 years of relevant experience in Data Engineering, Spark, SQL, Apache Airflow, AWS, Big Data, Apache Hive, and Scala. He is passionate about building data pipelines and enjoys working on challenging tasks with innovation. Hifzan started his career as a Data Engineer 3 at Walmart, where he migrated data pipelines from a persistent cluster to DPAAS and led a data pipeline migration project to reduce mainframe dependency. He also provided technical assistance to other team members. After Walmart, he worked as a Lead Data Engineer at Eucloid Data Solutions, where he led a team of two people to create a generalized DQ framework that can be plugged with Spark/Hive. He also worked on migrating code from map-reduce to Spark through a generalized framework that is config-driven and assisted other team members in designing new data pipelines. He led an initiative for a B2B business use case to ingest data from Vertica to Hive using Spark/AWS. Hifzan holds a PG-DAC in Advanced Computing from C-DAC, a Bachelor of Technology (B.Tech.) in Computer Science from Integral University, Lucknow, Uttar Pradesh, and completed his high school education from St. Josephs Sr Sec School, Puranpur. He has a strong educational background in Mathematics, Computer Science, and Science. In summary, Hifzan Khan is a skilled Data Engineer with a passion for building data pipelines. He has experience working with big data technologies and has a strong educational background in computer science and mathematics. Hifzan is a valuable asset to any team looking for a talented and innovative Data Engineer.