Akhil Reddy
About Akhil Reddy
Akhil Reddy is a Data Engineer currently working at Fannie Mae in Texas, United States.
Current Employment at Fannie Mae
Akhil Reddy is currently employed as a Data Engineer at Fannie Mae. Based in Texas, United States, he applies his expertise in data engineering to support and enhance the company's data infrastructure. His role likely involves managing data pipelines, optimizing data storage, and ensuring data integrity to support Fannie Mae's business operations.
Previous Role at Intuit
In 2022, Akhil Reddy worked at Intuit as a Data Engineer for 6 months. Located in the San Diego Metropolitan Area, his responsibilities likely included developing and maintaining data management solutions, optimizing data workflows, and collaborating with various teams to ensure data quality and accessibility.
Experience at Charles Schwab
From 2019 to 2021, Akhil Reddy was employed at Charles Schwab as a Data Engineer. During his tenure in Chicago, Illinois, he spent 2 years focusing on building and maintaining their data infrastructure. His role would have included tasks such as data extraction, transformation, and loading (ETL) processes, as well as working on data warehousing solutions.
Role at Alight Solutions
Akhil Reddy worked as a Data Engineer at Alight Solutions from 2018 to 2019. Based in Chicago, Illinois, he spent one year contributing to the company's data initiatives. His role involved handling data projects, ensuring data integrity, and supporting business analytics needs.
Employment at KTREE Computer Solutions
Between 2017 and 2018, Akhil Reddy worked at KTREE Computer Solutions in Hyderabad, Telangana, India. As a Data Engineer, he focused on developing data processes and systems. His responsibilities likely involved implementing data solutions to improve operational efficiency and data accuracy.
Experience at Appshark Software
From 2016 to 2017, Akhil Reddy worked at Appshark Software for 8 months as a Data Engineer. Located in Hyderabad, Telangana, India, his role involved responsibilities such as data collection, data transformation, and supporting the development of data-driven solutions for the company.