Argha Sha is a data engineering professional with extensive experience in designing and implementing data pipelines across various platforms. Currently serving as a Senior Associate at PwC since February 2025, Argha leads the development of enterprise-grade data pipelines using Azure Fabric, Databricks, and Airflow, while promoting best practices in ETL/ELT and data validation. Previously, Argha worked at Capgemini from March 2023 to February 2025 as a Data Engineer, where dynamic Airflow DAGs were created and data validation was implemented with Great Expectations for enhanced data reliability. During tenure at Wipro from March 2022 to March 2023 as an Associate Data Engineer, successful execution of an on-premises to Azure Cloud data migration project was achieved. Additionally, experience includes serving as a System Engineer at Tata Consultancy Services from July 2019 to March 2022, focusing on scalable ETL solutions and cost reduction through innovative technologies.
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