Preyaa Atri has won the ASTRA 2023 award for Asia’s Outstanding Researcher in the field of Data Engineering, Artificial Intelligence, and Machine Learning, in recognition of her cutting-edge research and contributions to these fields. Among her most notable works are “Enhancing Big Data Interoperability Automating Schema Expansion from Parquet to BigQuery,” “Design and Implementation of High-Throughput Data Streams using Apache Kafka for Real-Time Data Pipelines,” “Efficiently Handling Streaming JSON Data: A Novel Library for GCS-to-BigQuery Ingestion,” “Efficient Data Transformation on Google Cloud Storage: A Python Library for Converting CSV to Parquet,” and “Advanced Workflow Management and Automation Using AlteryxConnector: A Python-Based Approach,” to name a few.
A senior data engineering professional, Preyaa Atri is celebrated for her exceptional contributions to the field, where she combines over a decade of experience with an unwavering commitment to innovation and excellence. From leading teams in the development of complex data engineering applications to pioneering advancements in AI and machine learning, Preyaa has established herself as a thought leader and a catalyst for technological progress.
With a Master of Science degree in Data Analytics Engineering from the Volgenau School of Engineering at George Mason University, Virginia, USA, Preyaa’s academic journey laid a solid foundation for her career. Her expertise spans a broad spectrum of data engineering disciplines, including the development of robust data pipelines, optimizing data workflows, and leveraging cloud platforms to achieve maximum efficiency and cost-effectiveness. Preyaa’s proficiency in big data ecosystems, programming languages, and cloud services is complemented by her ability to build and implement machine learning systems that significantly enhance prediction accuracy and efficiency.
Currently serving as a Data Engineering professional at MSC Industrial Supply, she has previously held key positions at ON Q Financial and Gravy Analytics. Her early career roles at Amdocs Development Center and Cognizant Technology Solutions provided her with a deep understanding of technology integration and software engineering, which she has leveraged throughout her career to drive innovation and deliver impactful solutions.
In addition to her professional achievements, Preyaa has made significant contributions to the academic community. She has published numerous industry-leading research papers and developed several Python libraries that are widely used in data engineering, data science, and software development.
Preyaa is also an active member of the research and academic community, serving as a peer reviewer and member of the editorial board for several prestigious journals. Throughout her career, Preyaa has demonstrated a remarkable ability to bridge the gap between data engineering and practical AI applications. She has led teams to develop and maintain data engineering applications, built machine learning systems that predict hardware malfunctions with over 80% accuracy, and improved the efficiency of customer recommendation engines by 33%. Her work in optimizing data warehouses on Google Cloud Platform, forming linkages between Airflow and Dataform, and reducing data processing costs by 60% has set new standards in the industry.
As a visionary leader, Preyaa is committed to advancing the field of data engineering and AI. She actively contributes to the community through her editorial and peer review roles and is dedicated to mentoring the next generation of data professionals. With a clear vision to push the boundaries of what is possible in data engineering, Preyaa continues to deliver cutting-edge solutions that drive business value and technological progress. Her work is not only transforming industries but is also laying the groundwork for future innovations in AI and machine learning.