About

Suraj Aralihalli is a graduate student in the Computer Science department at Purdue University, with a focus on Big Data, Data Systems, and Software Development. He is passionate about solving problems and enjoys thinking creatively. He is also interested in meeting and talking to people about their stories and ideas. Currently, Suraj is an Associate Software Engineer - Big Data at logmein, where he has been involved in several projects. He has built custom operators in Python to schedule spark, pig, hive jobs on Airflow, decoupled submission of spark jobs from Elastic MapReduce clusters through an intermediate layer - Genie, developed multiple Big Data workflows leveraging ETL pipelines and Data Warehousing models to track revenue, sales and gather useful insights, and more. He has also worked with technologies such as Hive, Pyspark, Pig, Airflow, Oozie, AWS (s3, lamda, emr, sns), Jenkins, and Informatica. In the past, Suraj has worked as a Summer Intern at Morgan Stanley, where he developed a backend server that generates a semantic tree structure of executable rules and exposed it as RESTful services. He has also worked as a Research Intern at the Center for Cloud Computing and Big Data, where he performed a detailed analysis of various Spatial Hadoop Operations on HDDs and SSDs. Suraj has a Bachelor of Technology degree in Computer Science from PES University and is currently pursuing a Master of Science degree in Computer Science from Purdue University. He also has a strong educational background, having completed his Intermediate from the Andhra Pradesh State Board and Central Board of Secondary Education (CBSE) from DAV. Suraj's technical skills include Big Data, Software Engineering, AWS, Spark, Apache Airflow, MapReduce, Jenkins, ETL, Apache Hive, Python, Backend, Java, Research Scientist, and Hadoop. With 1.86 years of relevant experience, Suraj is a skilled and dedicated professional who is always ready to take on new challenges.