Navya Ravinder
About Navya Ravinder
Navya Ravinder is a Data Engineer with experience in various roles across the United States and India. She has a strong background in data management technologies and cloud services, holding a Master's degree in Information Technology and a Bachelor's degree in Computer Science.
Work at BoomTown
Navya Ravinder has been employed as a Data Engineer at BoomTown, a real estate platform, since 2022. In this role, she focuses on data engineering tasks that enhance the platform's data management capabilities. Her work involves optimizing data processes and ensuring data quality, which contributes to the overall functionality of the platform. Located in South Carolina, Navya has been part of the team for two years, applying her technical skills to support the company's data-driven initiatives.
Education and Expertise
Navya Ravinder holds a Master's degree in Information Technology from Valparaiso University, which she completed in 2021. Prior to this, she earned a Bachelor of Technology in Computer Science from Geethanjali College of Engineering and Technology in 2019. Her educational background is complemented by her studies at SR Digi School, where she achieved the Board of Secondary Education. Navya has developed expertise in various data engineering tools and languages, including Teradata SQL Assistant, Python, and cloud services like Amazon Web Services (AWS).
Background in Data Engineering
Navya Ravinder has a diverse background in data engineering and analysis. Before joining BoomTown, she worked at BNY Mellon as a Data Engineer for one year, where she further honed her skills in data management. Her previous experience includes a seven-month tenure at Bed Bath & Beyond as a Data Engineer and a year at Metamor Software Solutions as a Data Analyst. This progression reflects her growing expertise in handling data systems and engineering tasks across various industries.
Technical Skills and Tools
Navya Ravinder possesses a strong technical skill set relevant to data engineering. She is proficient in using Teradata SQL Assistant and has experience with data load and export utilities such as Fast Load and Fast Export. Additionally, she has hands-on experience with Hive SQL queries, Spark Jobs, and creating Hive tables with static and dynamic partitions. Navya also explores Directed Acyclic Graphs (DAGs) and their dependencies using AirFlow pipelines, which enhances her ability to automate data workflows.
Experience in Data Quality and Optimization
Navya Ravinder has practical experience in improving data quality, reliability, and efficiency across data systems. Her work includes optimizing Hive SQL queries and Spark Jobs to enhance performance. She focuses on developing applications using clean code practices in Python and utilizes various Integrated Development Environments (IDEs) such as PyCharm, Eclipse, and IntelliJ. This commitment to best practices in coding and data management reflects her dedication to delivering high-quality data solutions.