About

Nuthan Reddy is an experienced Hadoop Developer with a strong background in Spark, Python, and the Hadoop ecosystem. He is a skilled engineer with a Bachelor of Technology in Industrial and Systems Engineering from IIT Kharagpur. Currently working as a Software Engineer III at Walmart, Nuthan has previously worked as a Data Engineer at Sigmoid and a Splunk, Python Developer at Capgemini. At Sigmoid, he was responsible for developing, deploying, and optimizing scalable applications using Spark in Scala and Java. He also played a key role in discussions with the Google Product team on observations and requirements for Google DataFlow, Pubsub, GKE, and other products offered as part of Google Cloud Platform. At Capgemini, he developed reports and dashboards in Splunk and designed and developed frameworks for on-demand reports and Rally user story detail extraction, transformation, and analysis. Nuthan's expertise in Apache Spark, Kafka, Kubernetes, GCP, Elastic Search, MongoDB, and other technologies has enabled him to model, implement, and maintain data pipelines based on Snowflake and NitroDB. One of his applications supports 100,000 requests per second (each request of ~5KB), which translates to 43.2 TB per day with a cost of $0.2 per million requests. With 7.70 years of relevant experience, Nuthan is an Apache Con NA 2020 Spark-Snowflake Committer and has demonstrated his ability to develop, deploy, and optimize scalable applications using Spark, Scala, Java, and other technologies. His strong engineering background and expertise in data engineering and data science make him a valuable asset to any organization.