About

Rajeev Athani is a seasoned software professional with over 20 years of experience in leading and managing engineering teams for the development and successful release of various software applications and products for top fortune 500 clients such as Intel, Microsoft, State Street, and Sony. He currently works as a Data Engineer at State Street, where he is responsible for developing and implementing Big Data Engineering Technologies and ecosystem components such as Databricks, Delta Lake, Apache Spark, Kafka, Hadoop (MapReduce/HDFS), and Hive. Rajeev is well-versed in various Machine Learning Techniques and their implementation using Python and PySpark on Big Data Environment. He has extensive experience in data modeling, data architect, solution architect, data warehousing, and business intelligence concepts, as well as master data management (MDM) concepts. Rajeev also possesses a good knowledge of Data Warehouse Architecture and Designing Star Schema, Snowflake Schema, Fact and Dimensional Tables, Physical and Logical Data Modeling. Apart from his expertise in Big Data technologies, Rajeev is also experienced in working on NoSQL databases like HBase, database performance tuning, and data modeling. He has worked on large-scale distributed storage and database systems with good knowledge of open-source frameworks and cloud-based technologies. Rajeev is well-versed with object-oriented design, analysis (OOD), and architecting of software, following software development life cycle (SDLC) using Agile Scrum and Waterfall methodologies with strong debugging and analytical skills on Windows/Linux platforms. Rajeev holds a Post Graduate Diploma in Data Science from the International Institute of Information Technology Bangalore and a Bachelor of Engineering in Electronics and Communications from Basaveshwar Engineering College in India. He has also worked as a Lead Software Engineer at Schueco India and as a Technical Project Leader at Effone. Rajeev's tech stack includes Data Engineering, Spark, Senior Software Engineer, Big Data, SQL, Software Engineer, Databricks, HDFS, Data Warehouse, MapReduce, Python, ML, NoSQL, Hadoop, Kafka, and Apache Hive. With over 23 years of relevant experience, Rajeev is a highly skilled and experienced data engineer with a proven track record of successful project delivery.