About

Chinmaya Martha is a Senior Data Engineer at CME Group, with over 5 years of experience in the field of Data Engineering, Big Data Analytics, and Machine Learning. He has a solid understanding of Spark, Hadoop Architecture, Scala, and is well-versed in Java. Additionally, he possesses good analytical and communication skills, making him an asset to any team. Currently working at Intersoft Data Labs, Chinmaya has worked on optimizing data pipelines and making them more robust. He has proposed and implemented workflow orchestration logic for data pipelines, written various notebooks in PySpark for doing various aggregations and transformations on the raw data, and refined some of the complex Hive queries. He has also delivered new data products as per business needs and ideated and proposed various data models for improving existing processes. His technology stack includes PySpark, AWS, SQL, Airflow, Astronomer, Python, Databricks, Hive, Docker, and Git. Prior to his current role, Chinmaya has worked with Condé Nast India as a Data Engineer, where he was involved in tuning Spark applications to improve processes. He has also migrated a few applications from on-premise servers to the cloud and was involved from requirement gathering to deploying the applications to production. He has experience in designing and implementing CI and CD in projects. He has also worked with TCS as a System Engineer, where he was responsible for designing IT solutions for complex business cases. He has experience in writing Scala and Java codes for extracting meaningful insights from a large volume of data and has a solid understanding of its architecture. He has also developed Tableau visualizations and dashboards using Tableau Desktop. Chinmaya holds a Bachelor's degree in Computer Science and Engineering from Odisha University of Technology and Research and completed his high school education in Science Stream from Sai International School. His tech stack includes Data Engineering, AWS, SQL, Python, Spark, Apache Airflow, ML, Databricks, Apache Hive, Big Data, Scala, Hadoop, Docker, GCP, Ansible, AI, infra, test, Research Scientist, Jupyter, MapReduce, MySQL, Cassandra, and Jenkins.