Ashok Alle
About Ashok Alle
Ashok Alle is a Senior Associate at MassMutual in Hyderabad, specializing in ETL, BI, and Big Data Testing with expertise in various tools and technologies.
Current Role at MassMutual
Ashok Alle is currently a Senior Associate at MassMutual, based in Hyderabad, Telangana, India. In this role, Ashok leverages his extensive expertise in ETL, BI, and Big Data Testing, focusing on the tools and technologies that help drive MassMutual's data strategies.
Previous Experience at Cognizant
Ashok Alle worked at Cognizant as a Senior Associate for 9 years, from 2012 to 2021. During his tenure at Cognizant, he specialized in various aspects of ETL, BI, and Big Data Testing. His role demanded comprehensive knowledge and the ability to deliver high-quality solutions using a range of technologies and tools.
Education at Kakatiya University
Ashok Alle earned both his Bachelor of Science (BS) and Master of Science (MS) degrees in Computer Science from Kakatiya University. He completed his BS from 2001 to 2004 and his MS from 2007 to 2009. These academic qualifications laid the foundation for his career in the IT industry.
Expertise in ETL, BI, and Big Data Testing
Ashok Alle specializes in ETL, BI, and Big Data Testing. He has hands-on experience with tools such as Informatica, Python Automation Framework, Tableau, and RPA. His skill set also includes cloud data warehousing solutions like AWS Redshift and Snowflake, and database technologies including Oracle and SQL Server.
Skills in Python Automation Framework and Tableau
Ashok has developed Python automation frameworks and worked on data visualization projects using Tableau. His background in Python automation enhances his ability to streamline processes and improve efficiency, while his experience with Tableau aids in creating insightful data visualizations.
Background in Robotic Process Automation
Ashok Alle possesses a background in Robotic Process Automation (RPA). This experience allows him to design and implement automated processes that can increase operational efficiency and reduce manual intervention in repetitive tasks.