About

Mayukh Ghosh is a Senior Software Engineer at Intuit, with a strong background in data engineering. With almost a decade of relevant experience, he has worked with several companies such as Nutanix, GE, and Wipro in the past. Mayukh is passionate about working with data and enabling organizations to become more data-driven. His expertise lies in developing data pipelines and data platforms using open-source tools and custom programming, making data always available for better decision-making. He has architected and built big data platforms on cloud and on-premise, and data ingestion frameworks using Python, Spark, Hive, and other big data open-source tools and tech. Currently, he is working on building a customer data backbone that would serve as a one-stop-shop for all customer data of the company using real-time streaming data on AWS leveraging native services like Amazon DocDB, Kinesis Data Streams, Lambda, and Glue. At Intuit, Mayukh is responsible for real-time data store development using Amazon Kinesis, AWS Lambda, and Python. He also cleans, curates, and migrates billions of customer data from disparate data sources into a NoSQL data store (Amazon DocumentDB) using AWS Glue. Additionally, he builds analytical dashboards on data quality using Splunk and Amazon Quicksights. In his previous roles, Mayukh worked as a Senior Data Engineer at Nutanix, where he solved complex data ingestion problems with minimal expenditure on license costs and maximum focus on data ingestion framework development in-house. He also built an alerting and monitoring tool that integrated with different systems like Slack, Jira, and Pagerduty for operational excellence. Mayukh holds an Engineer's Degree in Instrumentation and Control Engineering from Haldia Institute of Technology. He also completed his ISC and ICSE from St. Augustine's Day School, Kolkata. His tech stack includes software engineering, data engineering, AWS, SQL, Python, big data, Spark, Amazon Kinesis, AWS Glue, and Apache Hive.