Pooja Badgujar: Senior Big Data Engineer Google Scholar: Pooja Badgujar ORCiD: https://orcid.org/0009-0002-2226-1298 Professional Experience 1. Senior Big Data Engineer at Capital One (2018) o Responsibilities involved designing, developing, and maintaining big data solutions to support various business functions. Worked with large datasets, employing technologies such as Hadoop, Spark, and other big data frameworks to extract insights and drive data-driven decision-making. Role also included optimizing data pipelines, ensuring data quality and integrity, and collaborating with cross-functional teams to understand business requirements and deliver scalable solutions. 2. Senior Big Data Engineer at Walmart (2019) o Focused on leveraging big data technologies to enhance customer analytics, optimize supply chain operations, improve inventory management, and personalize the shopping experience for customers. Collaborated with data scientists, analysts, and other stakeholders to implement data-driven solutions that drive business growth and efficiency. 3. Senior Big Data Engineer at Bank of America (2021-2022) o Played a critical role in developing and maintaining big data infrastructure and analytics platforms. Responsibilities included building data pipelines for risk management, fraud detection, customer insights, and compliance purposes. Ensured data security, privacy, and compliance with regulatory requirements, and implemented advanced analytics and machine learning models to improve decision-making processes. 4. Senior Big Data Engineer at Freddie Mac (2023) o Contributed to the development and enhancement of big data solutions for the mortgage industry. Worked on data integration, data warehousing, and analytics projects aimed at improving risk assessment, mortgage underwriting processes, and portfolio management. Collaborated with data scientists, actuaries, and other professionals to analyze market trends, assess credit risk, and optimize mortgage- related operations. 5. Senior Big Data Engineer at Wells Fargo (2023) o Supported the bank’s data infrastructure and analytics capabilities by building scalable data pipelines, implementing data governance processes, and developing data-driven solutions to enhance customer experiences, streamline operations, and mitigate risks. 6. Senior Big Data Engineer at Capital One (2024) o Currently constructing robust data pipelines leveraging AWS services and employing Scala for sophisticated portfolio decisioning processes. Enhances the accuracy and efficiency of financial decision-making through advanced analytics solutions. Optimizes ETL processes, deploys machine learning models, and ensures high performance and scalability in data processing tasks. About I am a Senior Big Data Engineer with extensive experience in architecting and implementing end-to-end big data solutions. My proficiency spans across cloud platforms, including AWS, Azure, and GCP, and I excel in leveraging Databricks for advanced analytics and collaborative data science workflows. I specialize in designing and optimizing ETL pipelines, streaming data processing, and cloud-native data warehousing. My skill set includes Apache NiFi, Talend, Apache Kafka, AWS Kinesis, and Snowflake. Publications • Addressing Challenges in Extracting Insights from Unstructured Data (2024) • Implementing Event-Driven Architectures for Real-Time Insights (2024) • Enhancing Customer Segmentation Algorithms for Personalized Marketing (2023) • Optimizing Data Storage and Retrieval in NoSQL Databases: Strategies for Scalability (2023) • Securing Financial Integrity: Advanced Data Encryption Strategies for Financial Transactions (2023) • Securing Customer Data and Best Practices for Retail Point-of-Sale Systems (2023) • Strategies for Effective Deployment and Maintenance of Machine Learning Models in the Financial Sector (2022) • Streamlining Data Integration for Organizational Agility: Overcoming Challenges and Harnessing Technology (2022) • Implementing Data Masking Techniques for Privacy Protection (2021) • Optimizing ETL Processes for Large-Scale Data Warehouses (2021) • Big Data Solutions for Regulatory Compliance (2021) • Real-Time Inventory Management in Retail (2020) • Impact of Implementing Data Governance Frameworks in Financial Institutions (2020) What I Bring to the Table With a strong technical foundation in computer science and a master’s in information technology management, I bring varied skills in data engineering, stakeholder management, and interdisciplinary collaboration. My academic and professional journey has shaped me into a professional with a deep understanding of data engineering and management. Proficiency • Data analysis and transformation using Apache Spark, Python, and Kafka • Data extraction and building scalable data pipelines. • Snowflake data structure transformation • CI/CD using Urban Code Deployment and Jenkins • Power BI dashboard development • Stakeholder management and project completion within timelines and budget • Configuring AWS and GCP services Vision My vision is to continue contributing to the field of data engineering and cybersecurity through innovative solutions, interdisciplinary collaboration, and continuous advancement in knowledge and skills. Additional Contributions • Judging Opportunity: I had the privilege to judge for a global tech education nonprofit that empowers girls to become leaders, creators, and problem-solvers. Our Technovation Girls program equips young women (ages 8-18) to become tech entrepreneurs and leaders. With the support of volunteer mentors and parents, girls work in teams to code mobile apps that address real-world problems. • Peer Review Member: I also had the opportunity to become a Peer Review Member of 8 journals for IAEME, IJCSERD and IJCT editorial board member. Commitment I am committed to delivering innovative data solutions and contributing to groundbreaking research in the field of big data and cybersecurity.