• Architected scalable Python and Django applications for enterprise data management and internal tools.

• Developed cross-platform desktop applications using PySide6 (Qt), developing both the front end in xml and the backend in Python.

• Designed database-agnostic schemas supporting multiple storage backends and data workflows.

• Implemented Git-based development workflows and CI/CD practices to streamline engineering

productivity.

• Implemented infrastructure-as-code using AWS CloudFormation to automate deployment

workflows.

• Developed serverless AWS Lambda functions supporting production cloud chatbot platforms.

• Designed event-driven cloud architectures improving scalability and operational efficiency.

• Built and maintained ETL pipelines using Apache NiFi and Amazon S3 for ingestion into Snowflake

and Oracle.

• Implemented automated data transformations using Pandas and SQLAlchemy.

• Designed Data Vault models to support analytics, reporting, and downstream machine learning

workflows.

• Developed Flask-based predictive analytics services for machine learning model deployment.

• Implemented CI/CD pipelines using GitLab for automated testing and deployment.

• Performed feature engineering and data preprocessing using NumPy, Pandas, and Scikit-learn.