omar-gamal99/talabat_bootcamp
May 2025 – May 2025
1 Month active
Languages Used
Python
Technical Skills
AirflowApache AirflowBigQueryCloudCloud Data WarehousingConfiguration Management
A-khalifa1
PROFILE
A-khalifa1
Abdulrahman Khalifa contributed to the talabat_bootcamp repository by establishing a foundational data pipeline and onboarding new contributors. He implemented data transfer workflows from PostgreSQL to BigQuery using Apache Airflow, focusing on scalable DAG orchestration through a master DAG and a DAG factory pattern. His work included refining configuration management with YAML and Python to improve reliability and maintainability. Khalifa addressed integration issues with Google Cloud Storage, corrected table naming and disposition settings, and enhanced metadata documentation. These efforts enabled analytics readiness and reduced onboarding friction, demonstrating depth in data engineering and cloud data warehousing within a short project timeframe.
Overall Statistics
Feature vs Bugs
57%Features
Repository Contributions
21Total
Bugs
3
Commits
21
Features
4
Lines of code
273
Activity Months1
Your Network
22 people
Work History
May 2025
21 Commits • 4 Features
May 1, 2025May 2025: Consolidated the data pipeline foundation, contributor onboarding, and analytics readiness for the talabat_bootcamp project. Delivered core features and fixes across the repository to enable scalable analytics and faster contributor ramp-up. Achievements include bootstrapping the project and onboarding Abdulrahman Khalifa; implementing data transfer from Postgres to BigQuery with initial trigger DAGs; refining DAG orchestration with a master DAG and a DAG factory; updating and hardening DAG configurations; and addressing GCS path/destination naming issues, table naming/disposition corrections, plus metadata improvements to reduce errors and improve documentation.
21 Commits • 4 Features
May 1, 2025May 2025: Consolidated the data pipeline foundation, contributor onboarding, and analytics readiness for the talabat_bootcamp project. Delivered core features and fixes across the repository to enable scalable analytics and faster contributor ramp-up. Achievements include bootstrapping the project and onboarding Abdulrahman Khalifa; implementing data transfer from Postgres to BigQuery with initial trigger DAGs; refining DAG orchestration with a master DAG and a DAG factory; updating and hardening DAG configurations; and addressing GCS path/destination naming issues, table naming/disposition corrections, plus metadata improvements to reduce errors and improve documentation.
May 2025
Activity
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Quality Metrics
Correctness93.8%
Maintainability94.4%
Architecture92.0%
Performance94.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AirflowApache AirflowBigQueryCloudCloud Data WarehousingConfiguration ManagementDAG FactoryDAG ManagementDAG orchestrationData EngineeringETLGCPGoogle Cloud StoragePostgreSQLPython
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