Senior Data Engineer

Pooja Badgujar: Senior Big Data Engineer

Google Scholar: Pooja Badgujar
ORCiD: https://orcid.org/0009-0002-2226-1298
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
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.