About

Amjath Khan is a Senior Data Engineer at Optum with over 12 years of experience in designing and implementing analytical solutions at a large scale. He is an expert in designing and maintaining cloud-based distributed architecture for large computing, with a focus on reducing computation time for data cleaning and machine learning algorithms by implementing them in distributed architecture using Apache Spark. Amjath has a strong knowledge of Apache Spark framework, data ingestion, cleaning, and implementing machine learning algorithms. He is currently pursuing interests in implementing analytical solutions in IoT and has been working on various IoT platforms such as ThingWorx, DgLux, and Azure IoT hub. Amjath has experience in designing data pipelines for analytical solutions and end-to-end implementation of projects. He has worked with big data frameworks such as Spark, Spark ML, SparkJobServer, Hive, Kafka, Hadoop, and Alteryx. He is proficient in programming languages including Scala, Java, Python, and R. He has also worked with cloud platforms such as AWS and Azure and Hadoop distributions such as Hortonworks, Cloudera, and Databricks. Amjath has worked with databases such as MySQL, SQL Server, Oracle, Cassandra, and MongoDB. He has experience in various roles in the industry, including Senior Lead Software Engineer, Module Lead, and Data Architect. Amjath holds a Master of Technology degree in Information Technology from iiitm. Overall, Amjath is a highly skilled Senior Data Engineer with a wealth of experience in big data, data engineering, cloud platforms, and programming languages. He is an expert in designing and implementing analytical solutions at a large scale and has a passion for implementing analytical solutions in IoT.