About

Naveen Sorout is a motivated and skilled data engineer with 1.6 years of experience in developing and maintaining data pipelines, ETL processes, and data lake architectures. He is proficient in Python, SQL, and big data technologies such as Apache Spark and Hadoop. Naveen has strong problem-solving and communication skills, which have enabled him to successfully collaborate with cross-functional teams. Currently working as a Software Engineer at Xoriant, Naveen has developed and maintained ETL pipelines to extract data from various sources, including REST APIs, databases, and flat files, and load it into a data lake. He has implemented data transformation and cleansing processes using Python and SQL and utilized PySpark to process and analyze large datasets. Naveen has created and maintained documentation for all data pipelines and processes, improved data quality through cleaning, validating, and integrating data from multiple sources, and collaborated with data analysts and data scientists to support data modeling and data mining efforts. Naveen is also pursuing a Big Data Masters Program from Trendytech, where he is learning skills such as HDFS, MapReduce, Sqoop, Hive, Scala, Apache Spark, and Pyspark. He is committed to expanding his knowledge and skills in the field of big data and data engineering. Naveen holds a Bachelor of Technology degree in Computer Science from Dr. A.P.J. Abdul Kalam Technical University and completed his schooling from Vidya Devi Jindal School. He has a diverse tech stack that includes software engineering, SQL, Spark, big data, Python, ETL, HDFS, data engineering, MapReduce, AWS, Hadoop, Snowflake, Apache Airflow, Amazon Athena, and Scala. With 1.78 years of relevant experience, Naveen is a valuable asset to any team looking for a skilled and motivated data engineer.