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PROFILE

Metas-ts

Tobias Schoeneberg contributed to the metasfresh/metasfresh repository by developing and refining backend features that improved data integrity, deployment reliability, and business process automation. He enhanced EDI data models to support GTIN/EAN identifiers, optimized SQL migrations for performance, and implemented zero-downtime view updates to maintain availability during schema changes. Tobias addressed complex issues in shipment processing, quantity calculations, and database migrations, applying Java, SQL, and Python to deliver robust solutions. His disciplined approach included targeted refactoring, expanded test coverage, and data pseudonymization scripts, resulting in more accurate reporting, safer deployments, and maintainable integrations across critical business modules.

Overall Statistics

Feature vs Bugs

30%Features

Repository Contributions

35Total
Bugs
16
Commits
35
Features
7
Lines of code
3,242
Activity Months7

Work History

September 2025

3 Commits

Sep 1, 2025

In September 2025, focused on reliability and data integrity for metasfresh. Key work included zero-downtime view updates and fixing data omissions in the edi_cctop_invoic_500_v_view, resulting in improved availability, accurate aggregations for invoicing, and safer deployment of SQL changes. These changes directly support reporting accuracy and trust in analytics for business decisions.

May 2025

9 Commits • 1 Features

May 1, 2025

May 2025 monthly summary for metasfresh/metasfresh: Delivered business value through data model enhancements, improved deployment reliability, and DATEV stabilization. Key outcomes include GTIN/EAN support in the in-house EDI data model, across-module build stability, corrected Handling Unit quantity calculations, DATEV rollout stability/cleanup, and UAT environment cleanup. These efforts improved interoperability with trading partners, accuracy of stock and invoices, and upgrade readiness across environments. Technologies demonstrated include data modeling (EDI), SQL/database compatibility, build/CI stability, and test coverage maintenance.

March 2025

6 Commits • 1 Features

Mar 1, 2025

2025-03 Monthly Summary for metasfresh/metasfresh: Focused on reliability, data integrity, and testing improvements. Key outcomes include corrected quantity logic for EDIDesadvPackService, compile-time fix for ImmutablePair imports, SQL type casting stabilization across queries, and a new data anonymization script for safe testing. These changes reduce stock miscalculations, prevent build failures, improve data accuracy, and enable safer regression testing.

February 2025

2 Commits • 1 Features

Feb 1, 2025

February 2025 monthly summary for metasfresh/metasfresh. Focused on performance optimization for the M_CostDetail migration script. Implemented trigger suppression and indexing to speed up related joins. No major bugs fixed this month. Overall impact: reduced migration time, improved deployment reliability, and prepared groundwork for scalable data migrations.

January 2025

2 Commits • 1 Features

Jan 1, 2025

January 2025 monthly summary for metasfresh/metasfresh focused on test suite maintenance and SQL correctness. Delivered a cleanup of the Workflow REST controller test suite to improve maintainability, and fixed a SQL ORDER BY issue in DISTINCT queries affecting handling unit candidates, reducing test noise and query errors.

December 2024

1 Commits • 1 Features

Dec 1, 2024

December 2024: Implemented Metasfresh API Integration Enhancements to improve data integrity and external compatibility. Key changes include UTF-8 encoding for JSON requests/responses, a new HTTP endpoint to retrieve production process orders, and a refactor of routes to explicitly set Accept headers and encoding. No major bugs fixed this month. Impact: reduced encoding issues, improved data consistency across integrations, and enhanced maintainability. Technologies demonstrated: UTF-8 JSON handling, HTTP routing, API design, and code refactoring.

November 2024

12 Commits • 2 Features

Nov 1, 2024

November 2024 monthly performance for metasfresh/metasfresh focused on delivering reliable shipment processing, data integrity, and stable builds. Key features delivered: Shipment generation and packing reliability (EDIDesadv integration) with multi-schedule handling, improved catchweight quantity calculations, and expanded test coverage to reduce runtime flakiness (commits a1557cd4..., 792480c8..., 61903ea2..., 7608ca32..., 34061bd9..., f26d110f..., 640ee3b2...). Sales candidate data accuracy improvements stabilizing UOM/packing logic around the effective product_id (commits 4d5fea63..., b11d811c...). Major bugs fixed: Database migrations correctness and data types (AD_Sequence inserts and timezone-aware paymentdate) (commits 53ad3f1a..., 598237ec...); Build stability after branch merge addressing compile-time errors from gray_knight_uat (commit 6062b4a6...). Overall impact and accomplishments: Increased shipment reliability, stronger data integrity for sales and forecasting, safer migration scripts, and reduced CI/build risk, enabling faster fulfillment and more trustworthy reporting. Technologies/skills demonstrated: expanded test coverage, targeted refactoring for data integrity, migration scripting, dependency management, and CI stability.

Activity

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Quality Metrics

Correctness85.4%
Maintainability84.6%
Architecture77.2%
Performance76.6%
AI Usage21.2%

Skills & Technologies

Programming Languages

GherkinHTTPJavaPythonSQLShellSnapXML

Technical Skills

API DevelopmentAPI IntegrationAPI TestingBackend DevelopmentBehavior Driven DevelopmentCamelCleanupCode RefactoringConfiguration ManagementCucumberCucumber TestingData ModelingData PseudonymizationDatabaseDatabase Management

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

metasfresh/metasfresh

Nov 2024 Sep 2025
7 Months active

Languages Used

GherkinJavaSQLSnapHTTPPythonShellXML

Technical Skills

API DevelopmentAPI IntegrationAPI TestingBackend DevelopmentCode RefactoringCucumber

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