Chad Lortie
Delivery Solutions Architect @ Databricks
Montreal, Quebec, Canada — lortie.chad@gmail.com
Experience
Delivery Solutions Architect
Aug 2024 — Present
Databricks — Montreal, QC
Lead the design and delivery of scalable data and AI solutions on the Databricks Lakehouse Platform across transportation, energy, and gaming sectors. Architect high-performance pipelines using Delta Lake, Spark, and MLflow across Azure and GCP. Presented at Google Next 2025 and All In Montreal 2025. President Club 2026.
Sr. Delivery Solutions Engineer
Oct 2022 — Jul 2024
Databricks — Montreal, QC
Architected end-to-end data solutions using Spark, Delta Lake, and MLflow. Mentored client teams on governance, security, and operational excellence. Speaker at Data Intelligence Days and Generative AI & LLMs Montreal (2024).
Senior Data Science Consultant
Mar 2020 — Oct 2022
IBM — Montreal, QC
Built image recognition models (CNN, ResNet) using TensorFlow. Co-created a metric evaluation tool to standardize reporting across data scientists. Contributed to MLOps automation retraining pipelines.
Data Science Consultant
Apr 2018 — Mar 2020
IBM — Montreal, QC
Delivered data-driven solutions in travel, transportation, and telecom using operational research, cognitive forecasting, and NLP. Built and deployed automated ML predictive models with Python, PySpark, SQL, and Keras.
Education
M.Sc. Data Science & Business Analytics
2016 — 2017
HEC Montréal
B.Eng. Industrial Engineering
2012 — 2016
Polytechnique Montréal — Exchange at Linköping University (2015)
Certifications
Databricks Certified Generative AI Engineer Associate — Neural Networks and Deep Learning — Convolutional Neural Networks
Skills
Databricks
GenAI
MLOps
Delta Lake
Apache Spark
MLflow
Python
PySpark
SQL
TensorFlow
Azure
GCP
Solutions Architecture
Project Delivery
Languages
French (Native) — English (Professional)