About

Raghwendra Singh is a highly skilled Data Engineer 3 at Meesho, with a passion for building data platforms and experimenting with Blockchain technology. With over 7 years of relevant experience, he has developed expertise in various technologies, including Spark, Big Data, Apache Airflow, AWS, ETL, Kafka, Jenkins, and more. Currently, Raghwendra is working in the core data team at Meesho, where he has built products for building ETL pipelines, using EMR, Apache Spark, Airflow, Kafka, Redshift, and deltalake. He is also building an analytics platform for Meesho on top of EMR to replace Redshift. Prior to joining Meesho, Raghwendra worked as a Software Engineer at dataxu, where he created a pipeline for getting third-party viewability data from vendors using Lambda functions and step functions. He also processed the feed using Apache Spark using EMR. At Fractal Analytics, he worked as a Big Data Engineer and created a piracy analytics application for Autodesk using Apache Spark, EMR, S3, Oozie, Jenkins, and Qubole. Raghwendra holds a Bachelor of Engineering degree in Computer Engineering from the University of Mumbai and a Bachelor of Engineering degree in Computer Science from Saraswati College of Engineering. He is highly skilled in various technologies, including Java, MySQL, Spring Boot, Spring, Backend, Sagemaker, Databricks, MapReduce, CI/CD, Kubernetes, Docker, Javascript, Hadoop, DevOps, GCP, Python, and Scala. In summary, Raghwendra Singh is a highly skilled and passionate Data Engineer with a proven track record of building data platforms and developing innovative solutions using cutting-edge technologies. He is a valuable asset to any organization and is committed to delivering high-quality results.