About

Anurag Singh is a skilled Data Engineer with over 10 years of relevant experience in the industry. He has a strong background in data warehousing/ETL projects using Hadoop, SPARK, and Informatica. Anurag has experience working in AGILE SCRUM methodology and is proficient in AWS-S3, EMR Hadoop 2.7 CDH, and Hortonworks (Sqoop, Hive, TEZ, Impala, Pig, kudu, hdfs, Python, Pyspark, Spark-SQL, SCALA SPARK). He has hands-on experience in creating Python functions inside Python Class objects, achieving complex logics and transformations in Python, Pandas, PySpark-functions, and data frames, and Spark-SQL in Amazon Web Services (AWS). Anurag has good knowledge of NoSQL databases Hbase and has developed automated sqoop import scripts and wrapper jobs to pull data from relational DB source. He has also worked on UNIX shell scripts to set up automated monitoring. Anurag has extensive data analysis skills to refine and correct client data issues and processes, fix bugs in present ETL code, or encapsulate new enhancements as per client requirements and Post Production Bug fixing. Anurag is a good team player with analytical, problem-solving, and organizational abilities. He has good analytical and development skills with the ability to quickly understand client's business needs. Anurag has hands-on experience with Jenkins, GitLab to push, pull, edit, and run code. He is currently working with Global Payments Inc. as Lead Software Engineer and has previously worked with Paytm as a Senior Software Engineer and Wipro as Software Engineer II. Anurag completed his Bachelor of Technology (B.Tech.) in Computer Science from Motivational Pathway in 2012. He also attended Assisi Convent School, Noida. Anurag's tech stack includes Software Engineering, Senior Software Engineering, Data Engineering, Spark, Python, SQL, AWS, ETL, Hadoop, HDFS, Pandas, NoSQL, Jenkins, Web, Apache Hive, and Scala. Anurag is a highly skilled Data Engineer with a strong background in ETL, data warehousing, and big data technologies.