Antas Jain is a Cloud Data Engineer currently working at CGI, where they build scalable ETL pipelines using ADF, Databricks, and PySpark to process data into Delta Lake. Previously, Antas served as a Data Engineer at OpenText, where they migrated ML research code to PySpark and developed real-time fraud detection pipelines. Earlier in their career at Quality Theorem, Antas developed financial reporting solutions using SSRS, Power BI, and Tableau, optimizing legacy systems for enhanced reporting capabilities. They are skilled in Python, PySpark, and various data engineering tools, focusing on high-performance and secure data solutions.
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