Divya Dua

Divya Dua

Senior Data Engineer @ ThoughtWorks

About Divya Dua

Divya Dua is a Senior Data Engineer at Thoughtworks, where she has worked since 2021. She has a background in software engineering and holds a Bachelor of Technology in Computer Science from Delhi University.

Work at ThoughtWorks

Divya Dua has been employed at ThoughtWorks as a Senior Data Engineer since 2021. In this role, she focuses on developing scalable and maintainable software solutions. Prior to her current position, she worked as a Data Engineer at ThoughtWorks from 2020 to 2021, where she gained experience in handling large-scale data projects and utilizing various technologies.

Previous Experience at Indus Valley Partners

Before joining ThoughtWorks, Divya Dua worked at Indus Valley Partners as a Software Engineer for seven months in 2019. During her time there, she contributed to software development projects, enhancing her skills in data engineering and software solutions.

Education and Expertise

Divya Dua holds a Bachelor of Technology (BTech) degree in Computer Science from Delhi University, which she completed from 2013 to 2017. She also completed her secondary education at M.G. Public School in Muzaffarnagar, achieving her 10th and 12th grades in Science. Her educational background provides a solid foundation for her expertise in data engineering and cloud computing.

Technical Skills and Technologies

Divya Dua is skilled in using Lagom, a framework for building microservices, which emphasizes scalable software solutions. She has experience with Cassandra and Elasticsearch, technologies that are essential for managing large-scale data and search functionalities. Additionally, she possesses expertise in Azure-based services, which are vital for cloud computing and data management.

Understanding of Software Architecture

Divya Dua has a strong understanding of advanced software architecture concepts, including Event Sourcing and Command Query Responsibility Segregation (CQRS). These concepts are critical in developing robust and efficient software systems, reflecting her depth of knowledge in the field of data engineering.

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