Deepyaman Datta
Deepyaman is a software engineer at Voltron Data. Before their acquisition by Voltron Data, he was a Founding Machine Learning Engineer at Claypot AI, working on their real-time feature engineering platform. Prior to that, he led data engineering teams and asset development across a range of industries at QuantumBlack, AI by McKinsey.
Deepyaman is passionate about building and contributing to the broader open-source data ecosystem. Outside of his day job, he helps maintain Kedro, an open-source Python framework for building production-ready data science pipelines.
Sessions
For the past decade, SQL has reigned king of the data transformation world, and tools like dbt have formed a cornerstone of the modern data stack. Until recently, Python-first alternatives couldn't compete with the scale and performance of modern SQL. However, now Ibis can provide the same benefits of SQL execution with a flexible Python dataframe API, and we can leverage it to build scalable Python pipelines in Kedro. In this tutorial, we will develop a simple analytics pipeline locally, then deploy it in a cloud data warehouse, with just a configuration change.