Lishan Soosaisanthar

Engineered an Azure Cloud ETL pipeline for vehicle data transformation using Python and PySpark, managed via Kubernetes. Utilized Helm for deployments, focusing on a DataVault 2.0 architecture. Managed secret configurations, event capturing through Event Hub, and Docker image management in ACR. Integrated Grafana for real-time monitoring and enhanced internal Python packages, significantly improving data processing efficiency and system reliability. Bicep was used as infrastructure-as-code.

Led the development of ETL workflows and data visualization dashboards using Python and PySpark. Managed end-to-end ETL processes from data extraction with Hive to reporting using Qlik. Developed an API service with FastAPI, implemented CI/CD pipelines with OpenShift, and maintained high data integrity standards. Data processed through API requests were stored in Google Cloud and visualized using Google Looker.

Developed a cloud-based fraud prevention solution for the retail sector using Azure Cloud, leveraging advanced SQL scripts in the backend to effectively analyze and detect fraud scenarios. Implemented Power Apps for dynamic front-end visualization. Led and onboarded a team of interns, ensuring effective project progress.

Managed sales and customer service at Jack and Jones. Demonstrated expertise in store management and visual merchandising.

Developed a Webapp for Process mining using Django and React - Agile: Scrum - Python & PM4PY - Grade: 1.3

-With focus on Business Analytics & Data Science