Priyanka Nalawade
About Priyanka Nalawade
Priyanka Nalawade is a Data Engineer with extensive experience in ETL tools and data warehousing technologies. She has worked at Wipro Limited and currently serves in the same role at VueData in Seattle, Washington.
Work at VueData
Priyanka Nalawade has been employed at VueData as a Data Engineer since 2021. In this role, she applies her expertise in data engineering to develop and maintain data processing systems. Her responsibilities include working with various data technologies and ensuring efficient data flow within the organization. VueData is located in Seattle, Washington, where she contributes to the company's data initiatives.
Previous Experience at Wipro Limited
Prior to joining VueData, Priyanka Nalawade worked at Wipro Limited as a Software Engineer from 2013 to 2019. During her six years at Wipro, she gained valuable experience in software development and data management. This role helped her develop a strong foundation in data engineering, which she has built upon in her subsequent positions.
Education and Expertise
Priyanka Nalawade earned her Master of Science in Information Technology from the Birla Institute of Technology and Science, Pilani, completing her studies from 2014 to 2017. Her educational background has equipped her with a solid understanding of data engineering principles and practices. She possesses extensive knowledge of various data technologies, including ETL tools like Ab Initio, and data warehousing technologies such as Oracle, Teradata, and Amazon Redshift.
Technical Skills and Tools
Priyanka Nalawade has extensive experience with a range of data engineering tools and technologies. She is proficient in ETL processes using Ab Initio, as well as big data frameworks like Hive, Hadoop, and Spark. Her strong skills in SQL and Rules Harmony further enhance her capabilities in data manipulation and analysis. This technical expertise supports her work in data warehousing and architecture.
Background in Data Warehousing
Priyanka Nalawade has a strong background in data warehousing principles, architecture, and implementation. Her experience with data warehousing technologies allows her to design and manage data storage solutions effectively. This background is critical in her role as a Data Engineer, where she ensures data integrity and accessibility for analysis and reporting.