Yash Gujre
About Yash Gujre
Yash Gujre is a Big Data Engineer with extensive experience in data processing and analysis. He has worked for various companies, including Sallie Mae, McDonald's, and City National Bank, and is proficient in tools such as Talend, Spark, and Kafka.
Work at Sallie Mae
Yash Gujre has been employed at Sallie Mae as a Big Data Engineer since 2019. In this role, he has contributed to various projects involving big data technologies and has utilized his expertise in data processing and analytics. His responsibilities include working with large datasets, optimizing data workflows, and ensuring efficient data management practices.
Previous Experience in Data Engineering
Prior to his current position, Yash Gujre worked at McDonald's as a Data Engineer from 2015 to 2016 in Chicago. He then transitioned to City National Bank, where he served as a Data Analyst/Data Engineer from 2016 to 2018 in Los Angeles. His earlier experience includes a role at Zenmonics Inc. as a Data Analyst/BI Developer from 2013 to 2014 in Hyderabad.
Education and Expertise
Yash Gujre holds a Bachelor's degree in Electrical Engineering from the University of Mumbai. His educational background provides a strong foundation for his work in data engineering and analytics. He possesses skills in various programming and data processing tools, including Talend Open Studio, Apache Spark, and distributed query-processing tools like Hive and Spark-SQL.
Technical Skills and Tools
Yash Gujre has extensive experience in utilizing Talend Open Studio for ETL processes, specifically for loading files into Hadoop HIVE tables. He has developed Kafka Producers and Consumers from scratch and has fine-tuned Spark applications to enhance performance. His technical proficiency extends to version control systems such as SVN and GITHUB, as well as experience with NoSQL data stores like HBase.
Software Development Methodologies
Yash Gujre is experienced in various software development methodologies, including waterfall, Agile, and Scrum. This knowledge allows him to effectively collaborate with teams and manage projects in a structured manner. His familiarity with these frameworks supports his ability to adapt to different project requirements and workflows.