2025
Business Type : Telecommunication
Last Position : Data Engineer
Period :
July 2025 to
Present
Job Description :
End-to-End Data Pipeline Optimization
Designed, developed, and maintained end-to-end data pipelines (ETL) from multiple sources (crowdsourcing data, test tools, network statistics, application logs)
Mornitor and troubleshoot data-related issues, investigate data anomalies, and perform root cause analysis.
Migrated workflows from SQL Stored Procedures to Python for greater flexibility and maintainability.
Collaborated with business and analytics teams to design and optimize data tables.
Built and optimized data models and tables to support data analysts requirements.