Ambikesh gautam

• Architected and built scalable Node.js microservices for multi-channel e-commerce integrations, handling
high-volume concurrent traffic.
• Designed serverless backend systems on AWS using Lambda, SQS, and API Gateway, enabling elastic,
cost-efficient processing of asynchronous workloads.
• Built event-driven data pipelines ingesting 10K+ records per batch, reducing API latency by 30-40% through
queue-based decoupling (SQS) and optimized MongoDB access patterns.
• Modeled and optimized MongoDB schemas, indexes, and aggregation pipelines for high-throughput
read/write operations across distributed services.
• Developed robust connectors and Any-to-Any integration pipelines for Shopify, Amazon SP-API,
WooCommerce, Etsy, and SFCC.
• Engineered LLM-based agentic systems with the Claude API for automated log analysis, backend monitoring,
and error resolution.
• Improved system reliability through fault-tolerant design, retries, dead-letter queues, and distributed-system
best practices.

• Built and maintained scalable backend APIs and services for global e-commerce clients handling
high-concurrency traffic.
• Designed and optimized complex MongoDB and MySQL queries, improving system performance and stability
by 25%.
• Developed data migration and synchronization pipelines across Shopify and WooCommerce ecosystems.
• Implemented robust error handling, structured logging, and debugging mechanisms to enhance production
reliability.
• Collaborated in Agile teams using Jira and Git-based workflows, contributing to code reviews and mentoring
junior developers.