• 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.

• 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, EC2, S3, Lightsail, ElastiCache, AmazonMQ, RDS, ALB, DigitalOcean, Cloudflare.

• 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.

• 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.