Manisha G
About Manisha G
Manisha G is a Senior Data Engineer at Fannie Mae with extensive experience in data engineering and analysis across various industries.
Current Position at Fannie Mae
Manisha G currently holds the position of Senior Data Engineer at Fannie Mae in Washington, United States. Her role involves managing and analyzing data to support various business functions. Her work likely includes leveraging advanced data processing technologies to optimize and enhance data-driven decision-making processes within the organization.
Previous Experience at Toyota Motor Corporation
Between 2020 and 2022, Manisha G served as a Data Engineer at Toyota Motor Corporation in Houston, Texas. During her tenure, she was responsible for managing large-scale data projects, utilizing her expertise in big data technologies to support the company's data infrastructure and analytics capabilities.
Professional Background
Manisha G has built a substantial career in data engineering, previously working at several prominent organizations. She spent two years at Mayo Clinic in Rochester, Minnesota (2017-2019), two years at UBS in Weehawken, New Jersey (2015-2017), and 10 months at ADP in Hyderabad, Telangana, India (2014-2015). Each of these roles contributed to her extensive experience in managing and optimizing data systems.
Educational Background
Manisha G pursued her education at KL University, where she studied Computer Science and obtained a Bachelor's degree. Her academic background laid the foundation for her career in data engineering, providing her with a solid understanding of computer science principles.
Technical Expertise
Manisha G possesses a diverse range of technical skills, particularly in the realm of data engineering. She has hands-on experience with numerous AWS services including Amazon EC2, Amazon S3, and Amazon RDS. She is proficient in handling massive datasets using Hadoop frameworks like Cloudera and Hortonworks. Additionally, she is skilled in Apache NiFi, Business Intelligence tools such as Tableau and PowerBI, Spark-Scala programming, and Service-Oriented Architecture (SOA).