Hazem Soliman is a Data Engineering Architect with over 20 years in software engineering and 14 years of focused experience delivering cloud-native data platforms, now consulting independently from Folsom, California. A certified Google Cloud Architect and Professional Data Engineer, he specializes in BigQuery-led ETL, data pipelines and analytics, having driven projects for Fortune 500 clients including Google, Salesforce, Fitbit and Genentech. He combines hands-on contributions to popular open-source BigQuery client libraries with proven management chops—building an outsourcing development center with exceptionally low turnover and mentoring cross-functional remote teams. Comfortable spanning strategic architecture to code-level optimizations, Hazem has improved BigQuery client performance and query-plan metrics in major Google repos and added practical features like Avro logical type support. Fluent in English, Arabic and German, he balances technical depth in Java, Python, SQL, dbt and GCP services with strong BI and testing discipline. Pragmatic and curious, he keeps sharpening both managerial and technical skills to bridge business needs and scalable data solutions.
14 years of coding experience
20 years of employment as a software developer
Courses, Software Engineering, Courses, Software Engineering at De Anza College
Egyptian High School Diploma, Scientific Section, Egyptian High School Diploma, Scientific Section at German High School in Cairo (Deutsche Evangelische Oberschule)
Unfinished Post Graduate Diploma, Software Engineering, Unfinished Post Graduate Diploma, Software Engineering at Cairo University
Sample apps and code written for Google Cloud in the Go programming language.
Role in this project:
Backend Developer
Contributions:63 reviews, 75 commits, 113 PRs in 4 years 5 months
Contributions summary:Hazem primarily contributed to adding and modifying BigQuery-related code snippets within the Go programming language. Their work involved implementing new snippets for loading data, updating dataset and table properties, and performing database queries. The user also addressed bugs and addressed code style improvements, enhancing the existing Google Cloud Go sample applications.
Contributions:134 reviews, 18 commits, 46 PRs in 4 years 9 months
Contributions summary:Hazem primarily contributed to improving the BigQuery client library, focusing on query optimization and feature enhancements. Their work involved refactoring the `list_partitions` helper for efficiency, adding statistics to query plan stages, and incorporating DDL-related query statistics. They also added support for Avro logical types in load jobs and addressed issues related to partial streaming buffer statistics, demonstrating a strong understanding of the BigQuery API and its functionalities.
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