Summary
Archit Saxena is a Senior Data Engineer with 11 years of experience building cloud-native data platforms and ETL pipelines, currently designing scalable Snowflake, dbt, Airflow, and Python solutions for DAT Freight & Analytics. He has a proven track record migrating legacy workflows into modular dbt Core models, implementing incremental and SCD2 dimensional models, and integrating semi-structured sources like Salesforce and MongoDB into EDWs. Past roles at Synopsys, Hypersonix, and ElectrifAi show deep hands-on experience with Snowflake migrations, Airflow orchestration, CI/CD automation via GitLab/Jenkins, Docker containerization, and Terraform-driven infrastructure. He combines strong operational instincts—supporting production pipelines and monitoring—with a background in ML-driven projects from DRDO, giving him an eye for analytical feature engineering and predictive use cases. Based in Delhi, Archit blends enterprise-scale data engineering with practical DevOps practices to deliver reliable, auditable data products that directly enable logistics analytics and revenue-impacting insights. Notably, he often converts brittle, manual workflows into automated, testable pipelines that improve transparency and deployment repeatability across environments.
11 years of coding experience
9 years of employment as a software developer
High School Computer Science, High School Computer Science at St Marys school new delhi
Bachelor’s Degree electronics and communication engineering, Bachelor’s Degree electronics and communication engineering at bharati vidyapeeth college of engineering new delhi
English, French, Hindi