Bindu Priya Vasu
About Bindu Priya Vasu
Bindu Priya Vasu is a Senior ETL Developer with extensive experience in building data pipelines from various source systems. She holds a Master's Degree in Management Information Systems from The University of Texas at Dallas and has worked in multiple roles in data engineering and ETL development across several companies.
Work at SunFire
Bindu Priya Vasu has been employed at SunFire as a Senior ETL Developer since 2021. In this role, she is responsible for developing and managing data pipelines from various source systems. Her work involves utilizing her extensive experience in ETL processes to ensure efficient data integration and transformation.
Education and Expertise
Bindu Priya Vasu holds a Master’s Degree in Management Information Systems from The University of Texas at Dallas. She also earned a Bachelor of Engineering in Computer Science from Anna University. Her educational background provides her with a solid foundation in data management and information systems.
Professional Background
Prior to her current position, Bindu worked at Virgin Pulse as a Data Engineer from 2018 to 2020. She also served as an ETL Developer at Boost Mobile from 2016 to 2017 and at SimplyWell (now Virgin Pulse) from 2017 to 2018. Her diverse experience across these roles has equipped her with a comprehensive skill set in data engineering and ETL development.
Technical Skills
Bindu Priya Vasu possesses extensive technical skills relevant to her role as a Senior ETL Developer. She has experience with SQL Server, PostgreSQL, and Cassandra databases. Additionally, she is proficient in using version control systems like Git, cloud-based services such as AWS Redshift and S3, and has hands-on experience with Shell Scripting. Her familiarity with tools like Vagrant and Docker enhances her ability to conduct sandbox testing.
Data Warehousing Techniques
Bindu is well-versed in data warehousing techniques, particularly in areas such as Data Cleansing and Change Data Capture. Her strong understanding of these techniques enables her to effectively manage and transform data, ensuring high-quality data outputs for analysis and reporting.