About

Anand Prakash is a highly skilled Data Engineer with over 7 years of experience in the field. He has a strong proficiency in a wide range of Big Data Technologies such as Hadoop, Spark, Structured Streaming, ETL, MapReduce, HDFS, Hive, Apache Crunch, Kafka, Avro, Parquet, Apache Airflow, and Oozie. Anand is also proficient in programming languages such as Java, Scala, and Python, and has experience working with web services such as REST (JAX-RS), Ruby on Rails, and Django. Anand has worked with several databases including MySql, HP Vertica, Redis, and MongoDB, and has experience working with analytical tools such as Tableau and SAP-Business Object. He is also well-versed in cloud and distribution platforms such as Cloudera, GCP, and Azure, as well as DevOps tools such as Git, Chef, Docker, Jenkins, Spork, Mesosphere DC/OS, and Splunk. Currently, Anand is working as a Data Engineer at Walmart US, where he is responsible for developing and maintaining data processing systems for the company. He has previously worked with Coffeebeans Consulting and ThoughtWorks, where he was involved in several projects such as building a cloud-native set of applications for a South American E-Commerce company, developing an application to calculate return on investment for a German-based travel booking portal, and working on a product called wru, an article recommendation system used by Quint and Bloomberg. Anand holds a Bachelor of Technology degree in Electrical, Electronics, and Communications Engineering from Amity University. He is also proficient in several technologies such as ReactJS, AI, and Recommendation Systems. With his vast experience and proficiency in data engineering, Anand is a valuable asset to any organization looking to develop and maintain data processing systems efficiently.