Herriman, Utah, United States
🚀 Cloud & Data Engineering | .NET | AWS | Databricks | Apache Spark | Bankruptcy Risk Solutions With 14+ years of experience in Software Development, Cloud Computing, and Data Engineering, I specialize in .NET, AWS, Databricks, Apache Spark, Python, Airflow, Terraform, and SQL Server to build scalable, high-performance enterprise applications and data solutions. Currently, at G2 Risk Solutions, I develop and optimize enterprise applications and data-driven solutions for bankruptcy risk processing and financial data management. My work focuses on building efficient processing systems, enhancing SQL Server performance, automating workflows, and ensuring data accuracy, security, and compliance within financial systems. 🔹 Enterprise Application & Cloud Engineering - Expertise in .NET Core, C#, ASP.NET, Web API, and Entity Framework, designing financial and risk assessment applications. - Strong Cloud & Data Engineering experience using AWS (S3, EC2, ECS, Lambda) and big data processing with Databricks and Apache Spark (PySpark). 🔹 Data-Driven Solutions & Performance Optimization - Experienced in handling hundreds of millions of records in SQL Server, with a focus on query optimization, performance tuning, and scalability. - Architecting real-time and batch data processing systems to drive financial risk analysis and regulatory compliance. 🔹 Leadership, DevOps & Modern Development - Managing cross-functional teams, driving collaboration to enhance bankruptcy risk modeling and compliance solutions. - Expertise in DevOps and CI/CD automation with Terraform, Docker, and GitHub Actions, ensuring secure and scalable deployments. - Proficient in modern frontend and backend technologies like Node.js, React, and Angular, building API-driven financial applications. 💡 Let’s connect! I'm always open to discussing cloud strategies, data-driven financial solutions, and technology innovations in the bankruptcy and risk management space.
✅ Architected and optimized backend infrastructure for a mission-critical bankruptcy data platform, ensuring real-time case tracking, high availability, and seamless scalability for financial institutions, legal firms, and lenders. ✅ Designed and automated bankruptcy data workflows, integrating regulatory compliance (PCI-DSS) to reduce processing time by 60% and eliminate manual inefficiencies. ✅ Developed advanced data pipelines and microservices using AWS, Terraform, Airflow, Databricks, and Python, enabling high-speed ingestion, transformation, and distribution of bankruptcy case data across multiple stakeholders. ✅ Enabled business-critical insights by building intelligent bankruptcy case tracking and notification systems, allowing clients to make faster, risk-aware financial decisions. ✅ Optimized infrastructure and CI/CD pipelines, reducing deployment cycles and improving system resilience, ensuring uninterrupted access to critical bankruptcy case data. ✅ Bridged the gap between business and technology, leveraging deep bankruptcy domain expertise to drive innovation in risk mitigation and compliance automation for financial services.
✅ Developed and maintained backend services for a large-scale bankruptcy data web portal, enabling real-time search and monitoring of bankruptcy filings across 94 U.S. court districts. ✅ Built automation tools to streamline manual case processing for clients and internal operations, leveraging Microsoft and open-source technologies. ✅ Designed intelligent entity resolution algorithms, enhancing bankruptcy case matching accuracy and reducing false positives. ✅ Developed real-time API integrations, providing seamless access to bankruptcy case updates for lenders and legal firms. ✅ Reduced legal research costs through process automation, significantly lowering expenses on bankruptcy case retrieval and compliance tracking.
- Engineered enterprise project management software (Cognizant 2.0), streamlining application development, testing, and maintenance across global teams. - Developed WCF and REST APIs, improving system interoperability and enhancing real-time data exchange across business applications. - Led front-end development efforts using HTML5, CSS, JavaScript, and AngularJS, optimizing user experience and accessibility. - Conducted performance tuning and impact analysis, ensuring system efficiency and scalability for enterprise applications.