Adam Azoulay

Adam Azoulay

AI Engineer, Data Engineer, Data Scientist

Toronto, Ontario, Canada

About

I architect and implement data-powered solutions to business problems. By leveraging data warehouses, I help enable AI-powered data solutions, reporting and self-service data, and automated data tooling to reduce friction and time-to-insight for stakeholders.

PythonSQLdbtPyTorchscikit-learnAirflowBigQueryTableauRTypeScriptLLMs/AI Agents

Experience

Lead, Business Intelligence NA

Stillfront · Toronto, ON (Remote)

Jan 2026 - Present

Commercial Scaled Intelligence Manager II

Instacart · Remote

May 2024 - Jan 2026
  • Led the design and development of AI-powered data access solutions, including building AI agents for non-technical stakeholders to access first-party data and internal knowledge base
  • Created a web application with role-based access control and interactive dashboards for faster data insights
  • Spearheaded automated data products and analytics solutions for Ads and Retail teams, saving 100s of people hours
  • Architected and optimized data models in dbt, resulting in $300K annual cost savings

Business Intelligence Team Lead

Game Hive · Toronto, ON (Remote)

Sep 2022 - May 2024
  • Architected and led implementation of an enterprise data warehouse in dbt, reducing costs by 60% and ETL run times by 85%
  • Planned, executed, and presented results of A/B tests for marketing and product teams
  • Fostered cross-department communication and distributed tasks across the data team

Data Scientist

Game Hive · Toronto, ON

Mar 2021 - Sep 2022
  • Built deep and classical ML models in scikit-learn and PyTorch for predicting KPIs from user behavioural data (pLTV, I2P, attribution)
  • Deployed on-device reinforcement learning algorithms to dynamically adjust game behaviour, increasing ad revenue by 25%
  • Maintained ETL pipelines in Airflow and dbt for machine learning data

Data Analyst

Game Hive · Toronto, ON

Mar 2020 - Mar 2021
  • Built ETL pipelines in Airflow and Python to power dashboards for business metrics
  • Generated analytics reports and dashboards in Tableau for product and marketing teams

Projects

AI Data Access Agent

Built AI agents enabling non-technical stakeholders to query first-party data and internal knowledge bases using natural language. Included role-based access control and interactive dashboards.

AI/LLMPythonWeb AppRBAC

Enterprise Data Warehouse

Architected a full enterprise data warehouse in dbt powering all in-house analytics. Reduced infrastructure costs by 60% and ETL run times by 85%.

dbtSQLData EngineeringBigQuery

On-Device Reinforcement Learning

Designed and deployed reinforcement learning algorithms running directly on mobile devices to dynamically adjust game behaviour, resulting in a 25% increase in ad revenue.

PyTorchRLMobileA/B Testing

NHL Statistics R Package

Built and deployed an R package for scraping and storing NHL statistics, generating advanced metrics, and visualizing results for quick analysis of large datasets.

RStatisticsData VizWeb Scraping