Mohsin Ali Email & Phone Number

Sweden

• Provided expert consultation on Python for testing automation, optimizing code quality, and reducing bug occurrences.
• Developed and optimized Python-based workflows, significantly improving efficiency and performance.
• Advised on cloud infrastructure solutions, enhancing system scalability and performance.
• Tools: Python, PyTest, Django, Django Object-Relational Mapping (ORM), Django Rest Framework (DRF), REST APIs, PostgreSQL, Docker, Elasticsearch, AWS, EC2, S3.

Alberta, Canada

• Built and maintained Django Rest Framework (DRF) APIs that supported frontend development and significantly enhanced search functionality in the user interface.
• Built ETL pipelines with WebRTC to ingest data from PostgreSQL into an Elasticsearch data lake integrated with Kibana, delivering key sales insights to management.
• Fixed functional errors in Django Rest Framework (DRF) APIs for payments, reducing user complaints by 95%.
• Led DevOps for AWS cloud migration, managing critical server and database transitions to successful completion under tight deadlines.
• Tools: Python, Django, Django Object-Relational Mapping (ORM), Django Rest Framework (DRF), REST APIs, Django Signals, PostgreSQL, Docker, Celery, WebSocket, WebRTC, Apache Airflow, Elasticsearch, ETL Pipeline, AWS.

Germany

• Created visualizations in Jupyter Notebooks using Python libraries for the European Broadcasting Union Data Model, helping stakeholders understand and engage with the data model.
• Wrote Terraform scripts to build AWS cloud infrastructure, ensuring clients compliance requirements are fulfilled.
• Integrated third-party APIs and ensured data compatibility within Python scripts.
• Tools and libraries: Python, PostgreSQL, algorithms, numpy, networkx, data visualization, JupyterLab, Docker, AWS, EC2, S3, ALB, Route53, Terraform.

Lahore District, Punjab, Pakistan

• Revamped legacy Python based Twitter ETL pipelines built on Django, expanding analysis scope and increasing data collection by 60%.
• Developed Python based ETL pipelines to transform customer feedback from emails and store actionable data in PostgreSQL and an Elasticsearch data lake, delivering advanced insights to clients.
• Designed optimized mappings for the Elasticsearch data lake to enhance data analysis and improve customer satisfaction.
• Built Python based ETL pipelines as DAGs in Apache Airflow, incorporating backlogging, monitoring, and customization features to handle urgent customer requests.
• Tools: Python, Django, Django ORM, Celery, Docker, WebSocket, Apache Airflow, Elasticsearch, ETL Pipeline, Kibana, scikit-learn, Twitter API v2, AWS, EC2, RDS, S3, PostgreSQL.