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
Worked on the talabat_bootcamp repository to establish a robust data pipeline foundation supporting analytics and contributor onboarding. Developed core features enabling data transfer from PostgreSQL to BigQuery, leveraging Apache Airflow for orchestrating ETL workflows with a master DAG and a DAG factory to streamline scalable DAG creation. Enhanced configuration management using YAML and Python, refining DAG reliability and maintainability. Addressed integration issues by correcting Google Cloud Storage path and table naming, improving metadata, and reducing documentation errors. The work focused on analytics readiness, onboarding processes, and workflow resilience, resulting in a maintainable, cloud-based data engineering environment for future contributors.
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 peopleWork 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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