International Conference on Machine Learning, Artificial Intelligence and Data Science

Pooja Badgujar Profile

Pooja Badgujar

Pooja Badgujar

Biography

Pooja Badgujar is a Senior Big Data Engineer with extensive experience in architecting and implementing end-to-end big data solutions across the financial, retail, and technology sectors. She has held key engineering roles at leading organizations, including Capital One, Walmart, Bank of America, Freddie Mac, and Wells Fargo. Her work focuses on designing, developing, and maintaining scalable data pipelines, implementing cloud-based solutions, optimizing ETL processes, and leveraging advanced analytics and machine learning to drive data-driven decision-making. Currently at Capital One, she constructs robust data pipelines using AWS services and Scala, enhancing financial decision-making processes through high-performance analytics solutions.

Pooja?s expertise spans multiple cloud platforms, including AWS, Azure, and GCP, and she excels in leveraging Databricks for collaborative data science and analytics workflows. She specializes in streaming data processing, cloud-native data warehousing, and advanced ETL pipeline design, with proficiency in technologies such as Apache Spark, Apache Kafka, Apache NiFi, Talend, AWS Kinesis, and Snowflake. Her contributions extend to improving customer analytics, risk assessment, fraud detection, mortgage underwriting, and portfolio management, collaborating with cross-functional teams to deliver impactful business insights.

Beyond her professional responsibilities, Pooja is a recognized author in the fields of artificial intelligence, cloud computing, and engineering, contributing to journals including the Journal of Artificial Intelligence and Cloud Computing, Journal of Economics and Management Research, and the European Journal of Advances in Engineering and Technology. She also serves as a peer reviewer for several international journals and has been actively involved in judging global tech education initiatives such as the Technovation Girls program and the MIT 00K Pitch Competition, supporting the growth of young innovators and entrepreneurs.

Pooja brings a strong technical foundation in computer science combined with a master?s in information technology management. Her skill set includes data transformation and analysis, CI/CD implementation, Power BI dashboard development, stakeholder management, and cloud configuration. Her vision is to continue contributing to the fields of data engineering and cybersecurity through innovative solutions, interdisciplinary collaboration, and continuous advancement of knowledge and skills. Committed to driving impactful research and delivering innovative data solutions, Pooja Badgujar remains at the forefront of the big data engineering domain.

Research Interest

Abstract

With over nine years of experience as a Senior Data Engineer across Capital One, Walmart, Bank of America, Freddie Mac, and Wells Fargo, my work has focused on building scalable, secure, and intelligent data systems. I have driven production releases of mission-critical data pipelines, led enterprise-wide data migrations, and designed robust ETL frameworks to support regulatory and analytical workloads. Additionally, I have contributed to frameworks such as Hydra and Redwood for automated workflow orchestration, and my research explores the intersection of cloud-native data engineering, automation, and applied AI in financial-grade environments. This abstract reflects my commitment to advancing resilient and secure big-data ecosystems that can adapt dynamically to modern enterprise needs.