Péter Szécsi
Co-Founder at Hungarian Post
Budapest, Hungary
Summary
🤩
Rockstar🎓
Top SchoolPéter Szécsi is a data-focused software architect and co-founder with a decade of experience bridging embedded systems roots and cloud-native data platforms. He has led design and delivery of Azure-based, production-grade pipelines and streaming solutions—most notably a KPI-driven Performance Analysis System and a Kafka-backed Fleet Monitoring system for Hungarian Post—bringing real-time telemetry into enterprise operations. Comfortable in large-company environments, he pairs hands-on engineering (CI/CD, Spark, DataOps) with pragmatic operability and maintainability concerns. An active open-source contributor and owner of DataRockLabs on GitHub, he has extended Great Expectations and integrated Azure DevOps into AI tooling, revealing a practical knack for adapting community tools to enterprise needs.
10 years of coding experience
3 years of employment as a software developer
Master's degree - Embedded Information Systems, Electrical engineering, Master's degree - Embedded Information Systems, Electrical engineering at Budapest University of Technology and Economics
Hungarian, English, German
Github Skills (15)
azure-devops-server10
pandas10
pullrequest10
great-expectations10
data-validation10
azure-devops10
python10
code-review10
testing10
devops9
api8
python-dateutil8
http-request8
sympy8
apidoc8
Programming languages (3)
Github contributions (5)
great-expectations/great_expectations
Apr 2022 - Apr 2022
Always know what to expect from your data.
Role in this project:
Backend Developer
Backend DeveloperContributions:6 reviews, 50 commits, 50 PRs in 4 days
Contributions summary:Péter contributed new custom expectations to validate data within the context of the Great Expectations framework. The contributions involved implementing several expectations to validate data, including time-based, geographic, and domain-specific checks. These expectations were added to the contrib/experimental directory, indicating they were experimental features and likely added to improve data quality checks.
pythondatadata-integritydatacleanerpipeline-testing
qodo-ai/pr-agent
Aug 2023 - Aug 2023
🚀 PR-Agent (Qodo Merge open-source): An AI-Powered 🤖 Tool for Automated Pull Request Analysis, Feedback, Suggestions and More! 💻🔍
Role in this project:Back-end Developer
Back-end DeveloperContributions:2 PRs, 2 comments in 20 days
Contributions summary:Péter's contributions focused on integrating the Azure DevOps platform within the `pr-agent` project. Their work involved adding an `AzureDevopsProvider` class, initializing its core components, and implementing essential methods such as file retrieval and commenting functionality. They also made modifications to handle Azure DevOps's specific language format in the get_main_pr_language function. This demonstrates a clear effort to extend `pr-agent` to support Azure DevOps as a git provider.
coding-assistantdevtoolsgpt-4openaipull-request
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