Co-implemented the transition to a hybrid cloud data storage model (AWS and Azure).Constructed pipeline using Azure Functions which allowed Snowflake instances in Azure to communicate with 3rd party apps securely. As a key member of the Regulatory Reporting team, saved ~100K in late fines by rewriting Python scripts for data analysis to be more efficient, ensuring timely submissions.Created a proprietary data quality tool in Python, discovering hundreds of data quality issues in MSSQL databases.Built Power BI reports on those issues to present to executive stakeholders.Configured and deployed Kafka Streams, Collectors, and Producers moving data from MSSQL into Azure (Snowflake) and AWS (S3 buckets).

Led team using machine learning on node embeddings to find fraud instances in payment histories for a FinTech startup and presented results to client executives. Our model was implemented successfully, discovering hundreds of instances of fraud.