Meghana Kapa
Data Engineer @Wells Fargo
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WORK HISTORY
Data Engineer @Wells Fargo
US
I developed automated ETL pipelines to process large volumes of financial transaction data for fraud detection, risk analytics, and regulatory reporting. I built data workflows using Python, SQL, and Apache Airflow, ensuring reliable ingestion, transformation, and loading of enterprise datasets.During my time there, I implemented data validation and cleansing frameworks, improved data accuracy, and optimized data models to support analytics and reporting systems. I also worked with technologies such as Apache Spark, PostgreSQL, Azure Data Factory, and Tableau to build scalable pipelines and enable real-time and batch data processing.I enjoy solving complex data engineering problems, improving data quality, and building robust data infrastructure that supports analytics, machine learning, and business intelligence.
EDUCATION
Denmark High School
High School Diploma
The University of Texas at Arlington
Bachelor of Engineering - BE, Computer Science
ABOUT MEGHANA KAPA
Student at University of Texas at Arlington
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