About

Kunal Nandwana is a highly skilled Senior Data Engineer with over 6 years of relevant experience in the field. He is currently working at Dataeaze Systems, where he is responsible for working with Spark, Scala, Hadoop, Python, Hive, Hbase, AWS EMR, Data Factory, Databricks, and Airflow. Kunal has a strong background in data engineering, with a focus on building and optimizing data pipelines, architectures, and data sets. Prior to joining Dataeaze Systems, Kunal worked as a Big Data Consultant at Celebal Technologies and as a Software Engineer at ATCS Inc. He has a Bachelor of Technology (B.Tech.) degree in Computer Science from JECRC University, where he gained expertise in various programming languages and data engineering tools. Kunal's technical expertise includes Data Engineering, Spark, AWS, Databricks, Apache Airflow, SQL, Hadoop, Scala, Python, Apache Hive, Big Data, MapReduce, Azure, MySQL, Postgres, Spring Boot, Spring, UI, Web, Software Engineering, HDFS, Data Warehouse, Test, Kafka, Salesforce, ETL, and GCP. He is proficient in using these tools to build data pipelines, data warehouses, and data lakes. Kunal is a proactive and detail-oriented professional who is passionate about solving complex problems and delivering high-quality solutions. He has a proven track record of collaborating effectively with cross-functional teams and delivering projects on time and within budget. Kunal is always eager to learn new technologies and techniques to stay up-to-date with the latest trends in the field.