About

Aditya is a skilled Data Engineer with over 2 years of experience in the field of Big Data applications and migration. He has worked with technologies such as Apache Kafka, Spark, Azure Data Factory, Azure Databricks, Azure DevOps, Jenkins, and Sonarqube. Aditya is proficient in programming languages such as Scala and Python. Currently, Aditya works as a Data Engineer at ThoughtWorks, where he is responsible for designing and optimizing data pipelines. Prior to this, he worked as a Software Engineer at Optum, where he gained experience in migrating on-premise databases to Azure Data Lake using Sqoop, Azure Data Factory, and Databricks. He also has experience in real-time data migration to Azure and migrating Oracle, SQL databases, and iSeries DB2 to Azure Data Lake, Azure SQL Database, and Azure Synapse. Aditya has designed a framework for the adoption of CI/CD pipelines and SCM using GitHub, Jenkins, SonarQube, and Azure DevOps. He has also developed generic and reusable scripts for Jenkins pipelines and supported multiple POCs running across the organization. Aditya has also worked as a Summer Research Fellow at the Central Building Research Institute, where he worked on the project "Design of Building Optimization Model for Energy Consumption." He came up with a Machine Learning model and a controller for optimizing power usage in buildings. Aditya holds a Bachelor's degree in Electrical Engineering from the National Institute of Technology Silchar. He also attended Avanti Alumni Network (AAN) and Jawahar Navodaya Vidyalaya, Pondicherry, for his high school education. He attended Jawahar Navodaya Vidyalaya, Muzaffarpur, for his secondary education. Aditya is proficient in Data Engineering, Azure, Databricks, SQL, Jenkins, Python, DevOps, Spark, Big Data, ML, Scala, Kafka, CI/CD, ETL, Research Scientist, and Software Engineer. With over 3.19 years of relevant experience, Aditya is a valuable asset to any organization.