I leverage machine learning and data analytics to derive impactful insights.

Data Engineer

Teacher Retirement System of Texas

• Architected Azure-based data integration pipelines across Microsoft Fabric, Azure Data Lake Storage, and Azure Synapse to support distributed analytics workloads, implementing automated shortcut synchronization that prevented stale datasets and improved downstream reliability.
• Owned daily monitoring and orchestration of production ETL and ELT pipelines for enterprise analytics delivery, resolving failures and strengthening resiliency so data remained highly available and dependable for downstream consumers.
• Contributed to an internal AI document intelligence platform by building Python and FastAPI services integrated with Azure AI Search, Azure Document Intelligence, and a RAG pipeline, enabling automated extraction, classification, and summarization of SharePoint-hosted PDFs for faster enterprise knowledge discovery.

Software Development and Data Engineering Intern

KTech Products LLC

Engineered and optimized data pipelines that increased data processing efficiency by 40%, enabling faster analytics and reducing ETL runtime by 30%.

Developed and tested key software features that improved system efficiency, contributing to a 15% reduction in processing time while helping identify and resolve 30+ critical issues through code reviews.

IT Intern - Investment and Data Analytics

Teacher Retirement System of Texas

Leveraged PySpark to integrate client APIs for data import, reducing file drop incidents compared to SFTP while improving indexing and query performance in SQL Server.

Participated in migrating SSIS packages to Azure Synapse as part of an agency-wide modernization initiative aimed at smoother pipeline operations and fewer failures.