Pulapalli Mounika
Data Engineer @Wells Fargo
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WORK HISTORY
Data Engineer @Wells Fargo
US
Designed regulatory reporting data pipelines by consolidating transaction and customer data from multiple internal systems, which simplified compliance reporting workflows and reduced recurring data clarification requests from risk and audit teams.Coordinated with compliance analysts and downstream reporting teams to streamline batch data ingestion schedules, enabling more predictable data availability & reducing manual data preparation effort during monthly AML & regulatory review cycles.Implemented structured data validation checks using Python and SQL to identify missing values, schema mismatches, and duplicate records early in processing, improving overall dataset accuracy and reducing rework during reporting deadlines.Automated routine ETL workflows using AWS Glue and Apache Airflow, replacing manual file handling and ad-hoc scripts, which helped maintain stable pipeline execution across multiple reporting use cases with fewer operational interruptions.Supported data migration and system enhancement initiatives by validating source-to-target data alignment and reconciling historical datasets, helping teams complete upgrades with minimal post-deployment data issues.
EDUCATION
Lovely Professional University
Btech
California State University, Fullerton
Master of Science - MS
ABOUT PULAPALLI MOUNIKA
I’m passionate about building machine learning models and data pipelines that turn complex data into actionable insights. With 3+ years of experience across healthcare, finance, and cloud-based solutions, I’ve deployed scalable ML systems that improved efficiency, accuracy, and decision-making.My background includes:Designing predictive models with Python, TensorFlow, PyTorchDeveloping large-scale ETL pipelines and data workflows using Airflow, Spark, and InformaticaDeploying ML solutions on AWS, GCP, and Azure with real-time monitoringDelivering impact in projects like diabetic retinopathy detection, fraud detection, and healthcare claims automation
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