Himanshu Aggarwal is a senior data engineer and solutions architect with over a decade of experience and eight years focused on designing scalable cloud-native data platforms across AWS and Azure. He specializes in automated ETL/ELT, real-time streaming (Kafka/MSK), and carving high-performance analytics models in Redshift, Snowflake and Delta Lake, often delivering measurable cost savings and performance gains. Himanshu repeatedly bridges technical and business stakeholders—mentoring teams and translating complex requirements into secure, production-grade pipelines that include LLM-driven NLP integrations and role-level security. His background spans industries from finance and healthcare to manufacturing and tourism, and he has a track record of operational impact (e.g., $120K annual savings from security log analytics, 40% ETL performance improvements). Comfortable with both infra-as-code (CDK, Terraform patterns) and ML model integration, he blends industrial engineering rigor with hands-on software craft to reliably move models and data to production.
8 years of coding experience
11 years of employment as a software developer
Master of Science (MS) Industrial Engineering, Master of Science (MS) Industrial Engineering at Arizona State University
Senior secondary school english physics chemistry maths computer science P.H.E, Senior secondary school english physics chemistry maths computer science P.H.E at Vivekanand School, Anand Vihar
B. E. Manufacturing processes and Automation Engineering, B. E. Manufacturing processes and Automation Engineering at Netaji Subhas Institute of Technology, Delhi University.
High School English science history and geography computer science hindi, High School English science history and geography computer science hindi at Holy Angels School
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Himanshu Aggarwal - Sr. Data Engineer, Solutions Architect