Tushar Patil

Tushar Patil

Data Engineer @ Confidential

About Tushar Patil

Tushar Patil is a Data Engineer with expertise in Snowflake for data warehousing and analytics. He specializes in designing scalable ETL processes and implementing real-time data streaming solutions.

Work at Confidential

Tushar Patil has been employed as a Data Engineer at Confidential since 2021. In this role, he focuses on developing and maintaining data infrastructure, ensuring efficient data processing and analytics. His work involves designing scalable ETL processes and implementing real-time data streaming solutions. Tushar's contributions support the organization's data-driven decision-making and operational efficiency.

Education and Expertise

Tushar Patil's educational background includes a BSc in Mathematics, Physics, and Computer Science from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, where he studied from 2018 to 2021. He also completed his Higher Secondary Certificate (HSC) at Yashwantrao Mohite College of Arts, Science and Commerce, Pune, and his primary education at Army Public School (APS). His expertise lies in using Snowflake for data warehousing and analytics, and he actively seeks to adopt the latest advancements in data technology.

Background

Tushar Patil completed his primary education at Army Public School (APS) before progressing to higher education. He achieved his HSC at Yashwantrao Mohite College of Arts, Science and Commerce, Pune. Following this, he pursued a BSc degree in Mathematics, Physics, and Computer Science at Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, from 2018 to 2021. His academic journey laid a strong foundation for his career in data engineering.

Technical Skills

Tushar Patil specializes in designing scalable ETL processes, which are essential for data integration and transformation. He has expertise in implementing real-time data streaming solutions, enabling organizations to process data as it is generated. His proficiency in Snowflake enhances his capabilities in data warehousing and analytics, allowing for efficient data management and retrieval.

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