NILADRI DAS CHOUDHURY

Accomplished Data Engineer and Cloud Architect with 18+ years of experience delivering scalable, secure, and high-performance systems across data engineering, cloud platforms, and enterprise applications. Proven leadership in architecting AWS-based data platforms, enabling real-time data integration, and modernizing legacy systems. Adept at managing cross-functional teams, driving technical roadmaps, mentoring engineers, and aligning technology strategy with business goals. Hands-on expertise in AWS, Terraform, Python, DynamoDB, Elasticsearch, AppSync, Databricks, and distributed data pipelines. Recognized for transforming complex requirements into robust, production-grade solutions that deliver measurable business value.

• Pioneered Nike’s First Product Merchandising Platform
  Spearheaded the architecture and development of Nike's first Product Merchandising Platform, enabling a 40% reduction in time-to-market for new merchandising features. Delivered a reusable foundation of low-latency (sub-100ms), high-throughput APIs, cloud-native storage, and real-time streaming data pipelines using Apache Kafka. Successfully onboarded two business-critical Line Planning applications, integrated reference data from multiple source systems for high-speed search, and hosted Nike’s first 3rd-party product catalog, reducing manual ingestion effort by 60%.
• Led Cross-Functional Engineering Team with Dual Technical and Managerial Responsibilities
  Directed a blended team of 3 full-time engineers and 9 contractors across product, platform, and data engineering tracks. Appointed by senior leadership to a stretch role as Engineering Manager, resulting in 25% improved delivery velocity across sprints through optimized planning, mentoring, and cross-functional collaboration. Achieved 95%+ on-time delivery rate for all Platform milestones over two consecutive quarters.
• Built Line Plan Data Foundation Enabling Multi-Domain Integration
  Architected and deployed the foundational Line Plan Data platform, enabling seamless data integration across 10+ Nike business domains. Onboarded 40+ consumer applications, with APIs serving 5,000+ requests/day, peaking to 10,000+ hits/day based on upstream change frequency. Optimized API throughput and caching strategies to achieve a 30% latency reduction and 50% fewer failures under load.
• Migrated Legacy Application to Merchandising Platform with High-Performance Data Pipelines
  Led the modernization of legacy data ingestion to the Merchandising Platform by orchestrating large-scale batch jobs using Databricks (Spark) and Apache Airflow. Reduced daily data processing time by 45%, improved pipeline reliability by 40%, and decreased operational overhead through automation. Leveraged Kafka Streams for scalable event processing and engineered custom sink connectors to land data into DynamoDB with 99.9% delivery accuracy. Tuned OpenSearch and DynamoDB (provisioned vs serverless) to optimize cost-performance, resulting in 35% lower infrastructure cost for the application.