About

Shashank is a highly skilled Data Engineer with over 7 years of experience in the field. He is currently working at Nike as a Data Engineer and has previously worked at Teksystems and Tredence in similar roles. Shashank has a Post Graduation Diploma in Big Data Analytics from Centre for Development of Advance Computing and a Bachelor's degree in Computer Science from School of Engineering and Technology. Shashank is proficient in a wide range of technologies and tools including AWS EMR, Google Cloud Platform, Azure HD Insights, Spark, Kafka, Hadoop, Python, NoSQL (MongoDB), SQL, Linux and the basics of Machine Learning. He has experience in creating data pipelines in GCP, building and implementing AI data cleansers, and designing and developing big data architectures. Shashank is also well-versed in data analysis and machine learning libraries with Spark MLLib and Python. At Tredence, Shashank was responsible for creating data pipelines in GCP and implementing and developing AI data cleansers. He has also worked on projects involving data migration from old systems to new systems with clean sets of data. Shashank has experience in using technologies such as Google Cloud Platform, Apache Spark, Python, Hive, Azure HD Insights, Linux, and Relational databases. Shashank is a highly skilled Data Engineer with a strong technical background and excellent problem-solving skills. He is a quick learner and is always eager to learn new technologies and tools. With his experience and expertise, Shashank is a valuable asset to any organization looking to build robust data pipelines and implement effective data cleansing strategies.