About

Rajesh Pyne is a seasoned Senior Data Engineer with over 8 years of experience in the AI and Payment System domain. Currently, he is working at phData as a Senior Data Engineer, where he is responsible for building external data pipelines for an AI product platform and developing a python package to expose the data as a service to the platform users. He is also working on building Data Utilities for Product Data Platform, which is being used by Data Engineers/Data Scientists to consume and process data faster into ML models in building and orchestrating AI pipelines. Rajesh has worked with diverse technologies in Big Data Platform as well as in API Platform, including Python, Hadoop, Spark, Kafka, Hive, Sqoop, Flask Restplus, Airflow, Amazon Web Services(AWS) EC2, Talend Open Studio for Big Data, Ab>Initio, and Linux Shell Scripting. He has hands-on experience in building various Data Utilities for Product Data Platform to help Data Engineers/Data Scientists to ingest and process data faster into ML models which helps in orchestrating AI pipeline. In his previous role at Noodle.ai, Rajesh served as a Senior Data Engineer, where he built Automated Data Pipelines to get data from various external sources and help provide insightful data to the end product to gain a competitive advantage in the business for the customers. He also mentored interns and guided them to get hands-on real-world data engineering problems and scenarios to make them more competent technically and grow professionally. Rajesh holds a Master of Computer Applications (M.C.A.) degree from RCC Institute of Information Technology and a Bachelor of Science (B.Sc.) degree majoring in Computer Programming, Specific Applications from Ramakrishna Mission Vidyamandira. He also completed his ICSE, ISC from Don Bosco Bandel. Rajesh's technical skills include Data Engineering, AI, ML, Big Data, Python, AWS, Spark, Apache Airflow, Hadoop, Kafka, Flask, Web, and Apache Hive. He has a total of 9.45 years of relevant experience in the field.