Summary
Saeid Pahlevan is a Cloud System Engineer based in Western Australia with over two decades of software and GIS experience and a decade of professional engineering roles across mining, surveying, and government sectors. He designs and implements enterprise data lakes, cross-account AWS CDK architectures, ETL pipelines and DevOps workflows, and has migrated analytic stacks including Glue, Lake Formation, QuickSight and Aurora. Previously he built cloud-native web apps and CI/CD for offshore survey platforms, and developed ML solutions for ROV pipe detection and inspection using SageMaker, MXNet and PyTorch. Saeid blends deep domain knowledge in geospatial systems and legacy-to-cloud modernization with hands-on coding across Python, C#, PySpark and serverless services, and is comfortable translating complex field workflows into scalable cloud services. An often-overlooked strength is his history of converting large legacy GIS codebases and operational workflows into maintainable, automated systems—experience that informs his pragmatic approach to enterprise data engineering.
10 years of coding experience
21 years of employment as a software developer
Postgraduate, Intergrated Map and Geoinformation Production, Postgraduate, Intergrated Map and Geoinformation Production at ITC - Netherlands
B.Sc, Mathematics, B.Sc, Mathematics at Tehran University