Priyanka Sharma

Priyanka Sharma

Senior Analyst @ Government of Canada

About Priyanka Sharma

Priyanka Sharma is a Senior Analyst at the Government of Canada with a strong background in IT and business consulting. She has over four years of experience in database administration and business intelligence, having previously worked for various organizations including Tata Consultancy Services and Infosys.

Current Role at Government of Canada

Priyanka Sharma has been employed as a Senior Analyst at the Government of Canada since 2021. In this role, she utilizes her extensive experience in IT and business consulting to contribute to various analytical projects. Her responsibilities include data analysis, reporting, and providing insights to support decision-making processes within the government.

Previous Experience at City of Winnipeg

Prior to her current position, Priyanka Sharma worked as a Senior System Programmer at the City of Winnipeg from 2020 to 2021. During her one-year tenure, she was involved in system programming tasks that supported the city's IT infrastructure and operations.

Professional Background in IT

Priyanka Sharma has a strong background in IT, having held various roles in notable companies. She worked as an ETL Specialist at Tata Consultancy Services for four months in 2021. Additionally, she served as a Senior System Engineer at Infosys from 2017 to 2019, where she gained significant experience in system engineering and database management.

Educational Qualifications

Priyanka Sharma completed her Bachelor of Technology (BTech) in Computer Engineering at Punjabi University, Patiala, from 2012 to 2016. This four-year program provided her with foundational knowledge and skills in computer engineering, which she has applied throughout her career in various IT roles.

Expertise in Data Management

With over four years of experience in database administration and business intelligence, Priyanka Sharma possesses expertise in data cleansing and reporting using various ETL tools. She is also competent in utilizing big data technologies for data analysis, which enhances her ability to manage and interpret large datasets effectively.

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