Python developer
- Supported business intelligence analysis using Tableau and Power BI applications.
- Triaged system issues and troubleshot errors to provide rapid resolutions.
- Designed and upgraded architecture for robust data engineering operations.
- Collaborated with cross-functional, international teams to deliver development projects within timeframes and budgets.
- Collected insightful data using APIs, HTTP requests and web scraping.
- Adopted expertise in Django and Flask according to data warehousing requirements.
- Compared and evaluated data sets to confirm quality and validation.
- Deployed data solutions to enable seamless platform integration.
- Combined data using AWS Data Pipeline and PySpark for reliable ETL processes.
- Tested data integration solutions to confirm robust, compatible platform connections.
- Troubleshot software to identify bugs and discrepancies.
- Boosted sales potential by presenting new revenue stream to clients using software prototypes.
- Communicated with vendors to evaluate new technology.
- Reduced common human errors by automating system migrations.