Designed and maintained scalable data pipelines and ETL workflows using SAS tools, enabling reliable data processing and reporting. Implemented CI/CD pipelines with GitLab and automated data workflows using Apache Airflow DAGs, improving deployment efficiency and pipeline reliability. Leveraged Google Cloud Platform (GCP) services including Cloud Run and Cloud Composer to orchestrate and deploy cloud-based data processing pipelines. Designed and handled API payloads and implemented robust error-handling mechanisms to ensure reliable data exchange and improve pipeline resilience across distributed systems. Enabled large-scale data migration between GCP and Teradata using Teradata Parallel Transporter (TPT), improving data transfer efficiency and system scalability.

Data Scientist at Braiyt AI Inc.

October 1, 2021 - July 1, 2024

Developed and optimized SQL and GraphQL queries to power web applications, improving data integration and processing efficiency. Designed and maintained scalable data infrastructure using PostgreSQL and Hasura, enhancing database performance, reliability, and data accessibility. Managed and optimized AWS cloud services (EC2, S3, Athena, Lambda, Amplify) to support scalable data pipelines and analytics workloads. Built interactive dashboards and analytics solutions using Power BI, Tableau, and Looker to deliver insights that supported business and operational decisions. Optimized IoT and analytics data pipelines, managing high-volume time-series data in Influx DB and ensuring data quality, consistency, and reliable sensor integrations. Strengthened data governance by generating regulatory reports, defining access controls, and collaborating with cross-functional teams to ensure data quality and compliance.

Machine Learning Developer at University of Ottawa

January 1, 2020 - January 1, 2021

Developed a Python-based waste advisor mobile app using ML to classify household objects into recycling categories. Improved waste classification accuracy by 15% through advanced data-cleaning techniques. Deployed updates via GitHub to Heroku, ensuring smooth application release. Applied Keras, Pandas, and NumPy to build ML models and streamline numerical data processing, enabling efficient image classification and data analysis.