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Data Engineer
Data Engineer at Wells Fargo building financial data pipelines and real-time fraud decisioning systems.
United StatesData Engineer at Wells Fargo
Engineered PySpark and Delta Lake pipelines on AWS EMR to ingest and transform 2TB+ of daily financial transaction data, cutting batch latency by 34%. Orchestrated ingestion from 25+ upstream systems and built modular dbt transformation layers on Snowflake and Redshift.
PySparkDelta LakeAmazon EMRApache NiFiFivetranDBTSnowflakeAmazon RedshiftAWS LambdaDynamoDBTensorFlowPySpark MLlibGitHub ActionsAWS CodePipelineSnowflake TasksDataOpsCI CD
Developed distributed ETL pipelines in PySpark and Spark SQL to process 1.2TB+ of daily transactional and telemetry data, reducing pipeline execution time by 31%. Architected an event-driven streaming platform on Apache Flink, Kafka, and Zookeeper, and implemented a lakehouse on Apache Iceberg over Azure Data Lake Storage Gen2.
PySparkSpark SQLApache FlinkKafkaZooKeeperApache IcebergData Lake Storage Gen2Azure Data FactoryAirflowSnowflakeAzure SQLTalendETLData Lakehouse
Created large-scale ETL frameworks on Azure Databricks and Apache Spark processing 1TB+ of transactional and customer data daily, improving pipeline performance by 28%. Implemented ingestion and curation workflows across Azure Data Lake Storage Gen2 and Snowflake, and developed Informatica PowerCenter ETL pipelines consolidating 2TB+ of data from 300+ retail outlets.
Azure DatabricksApache SparkData Lake Storage Gen2SnowflakeKafkaZooKeeperInformatica PowerCenterAzure DevOpsImpalaPostgreSQLETLCI CD
Master of Science in Computer Science from the University of Central Missouri, completed in May 2025.
Master of Science in Computer Science from the University of Central Missouri, completed in May 2025.