Los Angeles Metropolitan Area
• Led the design and implementation of fault-tolerant, real-time, and batch data pipelines using Spark, Scala, and Python, reducing data latency and enhancing efficiency. • Developed and integrated data quality frameworks, improving data trustworthiness and reliability, which supported high-stakes business decisions. • Managed cross-functional projects, collaborating with analysts, engineers, and privacy teams to build data models for integrating multiple CRM systems, internal data, and AI-driven chatbot interactions. • Established alerting and monitoring systems to proactively detect data anomalies, enhancing the team's response time and data governance. • Independently prioritized and managed projects by aligning data engineering efforts with company objectives, focusing on scalability, compliance, and sustainable solutions.
• Managed data engineering projects for a high-security government contract, processing and analyzing classified information in compliance with strict regulatory and security protocols. • Spearheaded the migration of over 20 legacy data pipelines to a modern Databricks infrastructure, handling 300M+ monthly transactions, resulting in a more reliable and scalable architecture. • Mentored junior engineers, streamlining development practices and boosting productivity through code quality enhancements. • Engineered data pipelines in a collaborative environment, leveraging Hadoop, Scala, and Python to ensure data consistency, security, and performance. • Worked under rigorous data governance and security requirements, maintaining the integrity and confidentiality of sensitive data assets.
• Developed robust data pipelines between ERP, CRM systems, and external APIs using Python and SQL, supporting strategic analytics and reporting. • Implemented data governance tools to automate quality checks, ensuring data accuracy and integrity across systems. • Managed and optimized CRM customizations, improving data entry processes and reducing errors through the application of governance principles.
• Facilitated data governance by building automated monitoring tools, aligning data quality with organizational standards. • Collaborated on restructuring CRM security and permissions, resulting in reduced data mishandling and increased system efficiency.
• Collaborated with departments to develop Business Intelligence Working Group, tasked with identifying knowledge gaps in MicroStrategy BI, supporting analysts in developing reports, and creating resources for end users • Communicated with university partners to analyze existing business processes and assisted in implementing technology solutions that automated routine tasks or enhanced team collaboration • Partnered with stakeholders to develop instructor-led and virtual trainings on university systems including Ellucian CRMs (Advance, Recruit, Advise), Ellucian Colleague ERP, MicroStrategy BI, and ServiceNow Case Management • Provided end-user support for PC and Mac software instillations and troubleshooting software related issues
• Developed and maintained database designed to organize all customer interaction, analyze system logs, and track technology maintenance, leading to 20% decrease in system downtime • Troubleshoot and resolved hardware and software issues pertaining to medical school learning technology • Participated in software vetting process to ensure applications met the needs of end-users • Provided Tier1/Tier 2 technical support for university workstations and learning technology