Zoram Gallardo

• Developed an automated document reader using ReactJS and Java, eliminating manual processing, optimizing client onboarding, and ensuring real-time letter processing with zero backlog.
• Developed automated controls to ensure 100% accurate tax form filing with clients and the IRS, minimizing risk and ensuring full regulatory compliance.
• Collaborated with external organizations outside Goldman Sachs to manage cross-company data transfers, ensuring secure, compliant processes by adhering to strict risk protocols.
• Optimized form generation with multi-threading, Kafka, and Sybase IQ, achieving a 650% performance boost—from 200K to 3M forms with minimal processing time increase.
• Mentored 10 team members and 4 external engineers, promoting skill development, career growth, and fostering a collaborative environment for cross-functional knowledge sharing.
• Architected scalable, high-throughput systems for client documentation, reporting, and tax withholding, managing large data volumes across regions with secure access control and entitlements.

Environment: Apache Kafka, Java, JavaScript, Spring Boot, Spring Batch, AngularJS, ReactJS, iText, Sybase IQ, DB2, Linux, Snowflake, AWS, S3, Hibernate, PDFBox. MongoDB, Jest, GitLab, NodeJS.

• Architected and led the migration of critical tax data from on-premise to a data lake, enabling seamless access and consumption, scaling from 10M to 250M+ data rows.
• Designed distributed caching systems, reducing latency by 81% (600ms to 110ms), enhancing process efficiency and optimizing performance for high-throughput applications.
• Contributed to sprint planning by estimating task complexity, prioritizing work, and optimizing algorithms and data structures to enhance application performance.

Environment: Java, JavaScript, Maven, Spring Batch, AngularJS, ReactJS, iText, DB2, MongoDB, Sybase IQ, Unix.

• Contributed to the design of a strategic engine utilizing distributed caching and microservices for highly scalable, high-performance processing, optimizing efficiency and data throughput.
• Collaborated with 12 engineers to design and implement scalable, resilient distributed systems using service-oriented architectures (SOA), optimizing performance and efficiently handling large volumes of tax data.
• Developed complex matching algorithms for optimized and fast processing on enterprise platforms including Forms Engine, DSP, Data Lake, and Data Streams

Environment: Java, DB2, Junit, Mockito, HTML, CSS, Batch Processing, Maven.