Name: Cloud-Native ML Framework for Enterprise Data Enrichment at Scale
Start: 2025-10-15T13:30:00+01:00
End: 2025-10-15T14:30:00+01:00

Enterprise data enrichment at scale faces challenges beyond traditional matching.

This session showcases a production-ready ML framework using AWS-native tools (Glue, Lambda, Step Functions, S3) to process hundreds of millions of records. A hybrid entity resolution engine with GBDTs and probabilistic matching boosts accuracy. Confidence scoring enables smart record reconciliation. Results show improved data quality, sales efficiency, and marketing impact—achieved through scalable, cloud-native design.

Hugo Barona

Azure Dublin Meetup

Azure Tech Groups

Technology

Cloud Computing

Microsoft Azure

Microsoft

DevOps

Linux

Windows

Amazon Web Services

nodeJS

Web Technology

Nirav Pravinsinh Rana is an accomplished full-stack engineer with over 11 years of experience building high-performance, cloud-native applications that drive business growth and operational excellence. Currently serving as a Software Development Engineer 3 at Amazon Web Services, Nirav specializes in designing and implementing highly scalable solutions for Sales and Marketing organizations.

At AWS, Nirav has distinguished himself by engineering end-to-end services that support annual sales strategy planning and developing sophisticated sales forecasting systems that provide accurate predictions across organizational hierarchies. His expertise in machine learning and large language models has enabled him to create innovative data matching infrastructure and batch inference systems that process millions of records efficiently, generating actionable insights that enhance customer decision-making.
Nirav's technical prowess spans the full technology stack, from designing large-scale ETL pipelines using AWS Glue that process over 300 million third-party records to building high-performance backends powered by DynamoDB and Elasticsearch. He has developed optimized GraphQL APIs and created interactive React applications that handle complex hierarchical data visualization, while implementing robust authentication services using AWS ElastiCache to ensure rapid permissions evaluation.
Prior to AWS, Nirav spent over five years at SAP America as an Information Technology Consultant, where he significantly enhanced operational efficiency across multiple business-critical applications. His innovations included developing SAP UI5 applications that unified quote creation processes, redesigning custom UI components for Callidus CPQ, and leading the development of cloud-based solutions that streamlined deal approval processes. Notably, he automated over 70% of business scenarios and improved backend performance by 60%, demonstrating his ability to deliver measurable business impact.
Nirav began his career at Deloitte Consulting as a Systems Engineer, where he successfully managed implementation projects across various industries, leading ERP system migrations and developing custom applications that enabled clients to streamline operations and scale effectively. His work in automation, data migration, and material tracking contributed to increased productivity and improved business outcomes for enterprise clients.
Nirav holds a Master of Science in Information Systems from the University of Cincinnati Carl H. Lindner School of Business and a Bachelor of Engineering in Information Technology from Sardar Vallabhbhai Patel Institute of Technology. His educational foundation, combined with his extensive hands-on experience, positions him as a thought leader in cloud computing, system architecture, and enterprise application development.
Known for his collaborative approach and commitment to technical excellence, Nirav continues to drive innovation in cloud-native solutions while mentoring teams and championing best practices in DevOps, CI/CD, and performance optimization. His passion for delivering high-quality software solutions through cutting-edge technology makes him a valuable asset in today's rapidly evolving digital landscape.

Nirav Pravinsinh Rana

Cloud-Native ML Framework for Enterprise Data Enrichment at Scale

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Cloud-Native ML Framework for Enterprise Data Enrichment at Scale

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