Shreya Narang
About Shreya Narang
Shreya Narang is a Data Engineer with expertise in Python development and AWS technology. She has a solid background in data management and analytics, and has worked in various roles within the information technology industry.
Current Role at Deckard Technologies
Shreya Narang currently serves as a Data Engineer at Deckard Technologies, a position she has held since 2021. In this role, she specializes in Python development and AWS technology, applying her strong background in data management and analytics. Her expertise enables her to contribute effectively to data-driven projects and initiatives within the organization.
Previous Experience at Deckard Technologies
Before her current role, Shreya Narang worked as a Data Science Intern at Deckard Technologies for two months in 2020. This early experience in the company provided her with foundational knowledge and skills in data science, which she has built upon in her subsequent roles.
Professional Background in Information Technology
Shreya Narang has a demonstrated history of working in the information technology and services industry. She previously held the position of Senior Software Engineer at NIIT Technologies from 2017 to 2018. Additionally, she worked as a Software Developer at NIIT Technologies from 2015 to 2017 and completed an internship there in 2014.
Educational Qualifications
Shreya Narang holds a Master's degree in Information Technology from the University of Sydney, where she studied from 2019 to 2021. Prior to that, she earned a Bachelor of Technology (B.Tech.) in Computer Science from Amity University, completing her studies from 2011 to 2015. Her educational background supports her expertise in data engineering and software development.
Technical Skills and Specializations
Shreya Narang possesses a strong skill set that includes Python, SQL, PL/SQL, and Eclipse. Her technical expertise is essential for her role as a Data Engineer, allowing her to effectively manage and analyze data. She leverages these skills to enhance data processes and contribute to the overall success of her projects.