Dallas, Texas, United States
As a skilled Software Engineer, I excel in designing and optimizing large-scale systems, data processing pipelines, machine learning solutions, and integrating cutting-edge technologies. Proficient in Python, Java, AWS, Databricks, Kafka, and cloud architecture, I consistently deliver innovative solutions that streamline operations and generate measurable business impact. With a passion for problem-solving, I thrive on tackling complex challenges, developing high-performance, scalable applications that drive organizational growth and operational excellence. In my role at JPMorgan Chase, I have spearheaded cross-functional teams, implementing architectural enhancements that yielded a 38% increase in data load speeds and a 43% reduction in storage footprint. Additionally, I pioneered data standardization initiatives, resulting in a 39% decrease in data storage and a 27% reduction in monthly operating costs. These achievements demonstrate my ability to leverage emerging technologies such as event-driven architectures and cloud integration, consistently delivering solutions that drive substantial business value. I enjoy applying my technical skills and leadership experience towards meaningful technological advancements and efficiencies. Through developing scalable solutions and optimizing processes, I've learned the importance of innovation and teamwork. I'm eager to contribute to environments focused on continuous improvement and pushing technological boundaries. If you're passionate about technology and its potential, feel free to connect and share insights.
• Designed and deployed a dynamic data load monitoring system, refining data availability visibility and operational efficiency; automated alerts and Jira ticket workflows for delayed data processing, ensuring prompt interventions and minimizing downtime in critical data loads by 45%. • Oversaw Client-360 optimizations, implementing multithreading to reduce compute time for large GraphDB queries, achieving up to a 64% reduction in query time, overall improving data handling and system performance. • Led the architectural integration of KDB, Oracle, and Databricks with AWS services, setting a new standard in data processing and analytics capabilities and redefining the team's underlying infrastructure.
Building a Marketplace for Smarter Hotel Booking
• Enhanced weblog data capture process by implementing GCP services for automatic scaling and advanced data parsing, accommodating increased user click stream traffic volume; resulting in a 40% reduction in data processing time. • Developed data migration tools to identify inconsistency amongst data being transferred from the on-premises data warehouse to the Google Cloud data warehouse. • Collaborated with the Data Management team to automate test data generation using K2View, this was done by synthesizing new data that mimicked the final structure of production data to better assist with QA testing in the cloud data warehouse environment.