a10pepo/EDEM_MDA2526
Oct 2025 – Dec 2025
3 Months active
Languages Used
DockerfileMarkdownPythonSQLShellYAMLtextHTML
Technical Skills
API integrationCommand line interfaceData ValidationDevOpsDockerDocumentation
cabesaEDEM
PROFILE
Cabesaedem
Over three months, Pepo Cabesa developed and delivered eight features for the a10pepo/EDEM_MDA2526 repository, focusing on scalable data solutions and developer tooling. He implemented Dockerized deployments for Python applications with PostgreSQL integration, enabling reproducible environments and streamlined backend management. Cabesa built a real-time sensor analytics pipeline using PySpark and Kafka, supporting live data aggregation and Parquet output for efficient analysis. He also enhanced documentation accessibility with a static HTML interface and created a Twitter bot with automated posting and robust error handling. His work demonstrated depth in Python, Docker, and data engineering, emphasizing maintainability and business value throughout.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
8
Lines of code
3,481
Activity Months3
Your Network
62 peopleSame Organization
@edem.es6
Work History
December 2025
2 Commits • 2 Features
Dec 1, 2025Month 2025-12: Key features delivered with clear business value and robust DevOps support. Real-time sensor data streaming analytics via PySpark and Kafka provides near real-time visibility into sensor networks, with on-the-fly aggregations and Parquet output for efficient analytics. A Dockerized development environment (including Jupyter and Spark) accelerates experimentation and visualization. The Twitter/X bot with automated posting and Docker deployment enables reliable, scalable social updates and engagement. While no major defects were reported this month, the work enhances reliability and maintainability through containerization and standardized tooling.
2 Commits • 2 Features
Dec 1, 2025Month 2025-12: Key features delivered with clear business value and robust DevOps support. Real-time sensor data streaming analytics via PySpark and Kafka provides near real-time visibility into sensor networks, with on-the-fly aggregations and Parquet output for efficient analytics. A Dockerized development environment (including Jupyter and Spark) accelerates experimentation and visualization. The Twitter/X bot with automated posting and Docker deployment enables reliable, scalable social updates and engagement. While no major defects were reported this month, the work enhances reliability and maintainability through containerization and standardized tooling.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Delivered a new static HTML page for the DBT documentation interface in repo a10pepo/EDEM_MDA2526, enabling direct access to documentation and resources. No major bugs were documented this month. This delivery improves onboarding, reduces time-to-find DBT resources, and supports faster self-service guidance for developers. Technical delivery is traceable via a commit-based artifact (fcd1d2fbb940ea74312e55d5b3d14e88560682cf).
November 2025
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Delivered a new static HTML page for the DBT documentation interface in repo a10pepo/EDEM_MDA2526, enabling direct access to documentation and resources. No major bugs were documented this month. This delivery improves onboarding, reduces time-to-find DBT resources, and supports faster self-service guidance for developers. Technical delivery is traceable via a commit-based artifact (fcd1d2fbb940ea74312e55d5b3d14e88560682cf).
October 2025
9 Commits • 5 Features
Oct 1, 2025October 2025 monthly highlights for a10pepo/EDEM_MDA2526 focused on delivering containerized deployment, scalable data models, and learning/validation tooling, with strong emphasis on business value and reproducibility.
9 Commits • 5 Features
Oct 1, 2025October 2025 monthly highlights for a10pepo/EDEM_MDA2526 focused on delivering containerized deployment, scalable data models, and learning/validation tooling, with strong emphasis on business value and reproducibility.
October 2025
Activity
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Quality Metrics
Correctness91.6%
Maintainability86.6%
Architecture90.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
DockerfileHTMLMarkdownPythonSQLShellYAMLtext
Technical Skills
API IntegrationAPI integrationCommand line interfaceData AnalysisData EngineeringData ValidationDevOpsDockerDocumentationEnvironment ManagementError HandlingFile HandlingFile ManipulationFile System NavigationHTML
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