Aman Goyal

Spearheaded the development of high-scale user segmentation and real-time analytics pipelines, significantly enhancing system performance and data processing capabilities.

• Developed a sub-second User Segmentation solution for high-scale, high-performance targeted campaigns, enhancing precision and delivery speed for marketing initiatives.
• Designed and deployed a Zero-cost, Zero-ops Real-Time Analytics Pipeline, successfully processing over 2.3 billion events daily with minimal overhead.
• Leveraged Perf Profiling to identify and resolve CPU and memory bottlenecks, improving API response times by 79%.
• Implemented Latency Aware Request Hedging strategies, significantly enhancing P99s (99th percentile latency) by over 8% for critical systems.

Optimized critical API and microservice performance, managed high-volume data processing, and modernized legacy systems to enhance scalability and user experience.

• Achieved 2X improved efficiency during peak summer sales by utilizing Thread Pools and Synchronization Primitives to effectively handle high loads.
• Revamped several APIs, resulting in a 20% improvement in response time using Elastic Search, leading to faster page load times.
• Achieved a 50% improved memory footprint by optimizing Thread Locals for memory-efficient operations.
• Optimized performance of APIs, microservices, and web applications using Spring and Django frameworks, implementing caching (Couchbase), load balancing, and indexing (Elastic) to boost responsiveness and scalability.
• Invested significant efforts in database design and management, utilizing relational databases like MySQL and NoSQL databases like MongoDB to efficiently store and retrieve data.
• Played a key role in identifying and resolving critical production bugs, collaborating with product owners and engineering leads to implement effective, preventative solutions.
• Led efforts to modernize legacy codebase, resulting in improved maintainability and facilitating future development.

Collaborated with cross-functional teams to develop and implement customized technology solutions, manage databases, and contribute to data analytics best practices.

• Collaborated with cross-functional teams to develop and implement customized technology solutions that effectively addressed client needs and requirements.
• Created and maintained robust databases and interactive dashboards, utilizing SQL-based tools to support comprehensive data analysis and reporting.
• Contributed to the development of intellectual property and best practices in Data Analytics and data transformation.
• Demonstrated strong leadership by introducing new guidelines and methodologies, enhancing project deliverable efficiency and quality.

Developed a patient health analysis system and automation tools using Python and Django, significantly improving data processing efficiency and accuracy.

• Delivered a Patient Health Analysis System using Django, enabling doctors to gain comprehensive insights into patient conditions.
• Developed cutting-edge Python automations that transformed medical data extraction and interpretation, reducing processing time by over 1000%.
• Authored scripts to automate repetitive tasks, which reduced errors by 70% and improved operational efficiency.