About

Rishabh Goel is an experienced Data Engineer with a strong background in ETL and data management. He is currently pursuing his Master's degree in Computer Science from the University of Illinois at Chicago and actively seeking internship opportunities for Summer '22. Rishabh has 3.94 years of industry experience, having worked as a Data Engineer - MDM & IDQ with Honeywell, Bangalore. During his time at Honeywell, he built ETL pipelines using on-premise technologies such as Informatica MDM and IDQ. He has also customized MDM ETL pipelines to reduce overall runtime by 60% and implemented D&B recertification ETL pipeline to baseline D&B data with MDM every quarter. Rishabh has created 6 IDQ webservices that interact with MDM and D&B database to create Honeywell customers. He has implemented the D&B data extraction and IDQ Address doctor ETL pipeline for Legacy systems to increase data quality by 40%. Rishabh is proficient in several programming languages including Java, Python, Scala, C/C++, and Bash/Shell. He has experience working with various tools and frameworks such as Informatica MDM, Informatica DQ, Collibra, MS Visual Studio, Eclipse, Pycharm, Android Studio, Apache Spark, Apache Airflow, Apache Kafka, gRPC, and Hadoop. He is also familiar with databases such as Oracle, MySQL, and MongoDB, and has worked with machine learning libraries such as Pandas, NumPy, Matplotlib, and scikit-learn. In addition to his technical skills, Rishabh has collaborated with business leaders to empower them to identify meaning in their data and improve business decisions by bringing the enterprise-wide data and store it by creating communities, users, assets, and other functional requirements in Collibra. Rishabh holds a Bachelor's degree in Computer Science from Manipal Institute of Technology. He is also proficient in operating systems such as Linux, Windows, and MacOS, and has experience working with cloud technologies such as GCP and AWS. His TechStack includes Data Engineering, ETL, AWS, Software Engineer, Spark, Apache Airflow, Scikit, Android, Big Data, ML, Pandas, MySQL, MongoDB, Hadoop, Kafka, and GCP.