At Neo Financial, I work as a Data Analytics Developer and Data Developer. My headline lists PySpark, Python, dbt, Snowflake, SQL, and BI.
At Ubisoft Toronto, I designed and optimized data pipelines, using PySpark to process and transform data and Dataflow and Airflow to orchestrate workflows. I worked primarily with Hive and Iceberg, applying ETL techniques to prepare data for stakeholders.
I collaborated with the User Research team, Data Office, and Game Intelligence Analysts at Ubisoft Toronto to deliver insights for game production decisions. I also worked with Woodbine Entertainment on Hadoop ecosystem services and real-time and near-real-time data flows using Apache NiFi.
Earlier, I developed SAP BW data solutions at Ajinomoto and contributed to Volkswagen projects at T-Systems, including support for a BW on HANA implementation that reduced a report’s generation time from 12 hours to under 30 minutes.

