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Riya Vadhwani
Data Engineer II @fractal | Spark | Databricks | SQL | Python | Pyspark | ADF | DBT | Airflow | Databricks Certified Data Engineer Professional & Associate | Microsoft Azure | Rajasthan University Gold Medalist
About
Riya Vadhwani is a skilled Data Engineer with a strong background in various programming languages including C, C++, Java, Python, and Pyspark. She is proficient in using Azure, Databricks, SQL, and Python to build data pipelines and analyze data. With over 1.60 years of experience, she has contributed to the success of Celebal Technologies as an Associate Data Engineer. Riya holds a Master's degree in Computer Applications from the University of Rajasthan, where she specialized in Computer Programming. She also holds a Bachelor's degree in Computer Software Engineering from the University Maharani College Jaipur. During her academic years, she gained a deep understanding of various programming concepts and techniques that have helped her excel in her career as a Data Engineer. Riya's TechStack includes Data Engineering, SQL, Databricks, Spark, Azure, Python, and Java. She has worked on several projects that have enabled her to develop a strong understanding of data warehousing, data modeling, and data integration. She is also skilled in using various cloud-based technologies to build scalable and reliable data pipelines. In her current role at Celebal Technologies, Riya is responsible for developing and maintaining data pipelines, optimizing data workflows, and ensuring data quality. She has also worked as a student at the University of Rajasthan, where she gained valuable experience in data analysis and programming. Overall, Riya is a highly skilled Data Engineer with a passion for building scalable and reliable data pipelines. She is committed to delivering high-quality work and is always willing to learn and adapt to new technologies.
Education Overview
โข university of rajasthan
โข university maharani college jaipur
Companies Overview
โข fractal
โข celebal technologies
Experience Overview
3.7 Years
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