About

Pawan Warole is a passionate Data Engineer with a strong background in Big Data technologies and programming languages. Currently working as a Data Engineering Analyst at Accenture, he has 2 years of experience in designing and building end-to-end data-intensive pipelines in the telecom domain. Pawan is highly skilled in programming languages such as Python, Scala, and SQL and has extensive knowledge of Big Data technologies including Hadoop, Hive, Spark, Pyspark, Nifi, and Sqoop. Pawan is an expert in cloud services such as GCP Cloud Storage, Dataproc, BigQuery, Dataflow, AWS S3, Athena, Glue, and EMR. He has hands-on experience with reporting tools like Tableau and is proficient in using IDEs like Eclipse and Intellij. Pawan has a proven track record of tackling challenging architecture and scalability problems, optimizing existing pipelines to deal with growing data requirements. Pawan completed his Bachelor of Engineering in Computer Engineering from Smt. Kashibai Navale College of Engineering in 2020. He also has a High School degree from Kendriya Vidyalaya. Pawan's specialties include Data Engineering, SQL, Hadoop, Python, Big Data, AWS, Spark, Apache Hive, Amazon Athena, GCP, Scala, Data Warehouse, ETL, HDFS, and ML. In his previous role as an Application Development Associate at Accenture, Pawan gained experience in creating and loading data into Hive tables with appropriate static and dynamic partitions. He also worked with Apache NIFI for Data Ingestion into Hadoop Ecosystem from different source systems. Pawan's relevant experience in the field of Data Engineering is 2.69 years. Pawan is a self-motivated individual who loves to play around with data and add a pinch of exploration, bringing immense value to the organization. He believes in bridging passion with work, which makes all the difference in career growth. Pawan is a team player with excellent communication skills, always ready to take on new challenges and learn new technologies.