Patrick Kozlow.
I build and deliver enterprise data platforms that drive real business outcomes.
I'm a Senior Technical Lead and Architect with 7+ years of experience in the Data and AI domain, specializing in Databricks and modern cloud data platforms. I own end-to-end technical delivery for enterprise data programs, partnering with executive stakeholders to shape strategy, drive platform adoption, and deliver measurable business outcomes. Currently leading enterprise Databricks initiatives at Air Canada with $10M+ in realized ROI.
Check out my workAbout Me
Hello! I'm Patrick, a Senior Technical Lead and Architect with 7+ years of experience in the Data and AI domain. I specialize in Databricks and modern cloud data platforms, owning technical delivery from use case selection through to production for complex, cross-functional data programs.
I've led programs that generated $50M+ in operational savings and $10M+ in realized ROI, delivered on time and under budget, while managing executive relationships and driving platform adoption across large organizations. I'm equally comfortable in a technical architecture discussion and a boardroom.
I hold a P.Eng. designation from APEGA and a Master of Science in Electrical and Computer Engineering from the University of Calgary, where I researched biometric machine learning and computer vision.
Here are a few technologies I've been working with recently:
- Python
- SQL
- Scala
- Apache Spark
- Databricks
- Snowflake
- Airflow
- dbt
- Terraform
- Kafka
- Azure / AWS / GCP
- Gen AI (Anthropic, OpenAI)
Certifications
Resume
My professional journey spans multiple roles in data engineering, from machine learning research to enterprise cloud architecture. I offer comprehensive expertise in building scalable, resilient data solutions that drive measurable ROI.
Personal Skills
Whether it's working in high-stress situations, directly with executives, or speaking to hundreds of people, I've done it all. If you're looking for an engineer that cares about communication, customer service, and business needs, you've found the right person.
Technical Skills
I have experience building data systems that use ETL processes along with data warehousing techniques to store & analyze batch and streaming data. My skillset includes integrating cloud infrastructure toolchains such as Azure/AWS/Snowflake into product designs.
Programming Languages
Proficient with Python, SQL, Scala, C, C++, and JavaScript/HTML/CSS. And frameworks such as Spark, Airflow, dbt, Terraform, Kafka, TensorFlow, Scikit-learn, and PyTorch.
Where I've Worked
Senior Technical Lead @ Air Canada
Jan 2026 – Present
- Led end-to-end technical delivery and post-launch adoption for enterprise data applications on Databricks and Azure, accelerating use cases from implementation to production and generating $10M+ in realized ROI.
- Owned technical strategy and architectural roadmaps for enterprise Databricks and Azure initiatives, driving a 30% reduction in deployment timelines through CI/CD automation.
- Delivered flagship Databricks program on time and $5M under budget, demonstrating end-to-end program management accountability across cross-functional stakeholders and vendor teams.
- Led cross-functional alignment with Databricks and Microsoft to optimize platform performance and infrastructure costs, reducing compute spend by 20% and directly improving ROI across core data workloads.
Senior Software Engineer @ Instacart
Sept 2024 – Dec 2025
- Partnered with executive stakeholders in the advertisement domain to design and build a scalable data warehouse, enabling real-time tracking of Ads KPIs like ROAS, CPI, and CTR for global clients.
- Led the migration of legacy ETL pipelines to Apache Iceberg on AWS, deprecating outdated datamarts and achieving $1M in annual infrastructure cost savings through optimized storage and processing.
- Engineered AI productivity tooling using Anthropic APIs, building MCP integrations and prompt-engineered workflows that accelerated onboarding, reduced support tickets, and improved overall engineering velocity.
- Built a self-service Terraform framework for data governance, enabling engineers to safely manage production database attributes through standardized CI/CD pipelines and deployment controls, reducing platform team dependency.
Lead Data Engineer / Senior Data Engineer @ Air Canada
Aug 2022 – Sept 2024
- Conducted technical discovery workshops and business analysis to translate complex requirements into architectural roadmaps, ensuring adherence to data governance and compliance standards.
- Led the data engineering workstream for Air Canada's Digital Simulation initiative, delivering a network-wide operational risk forecasting system that identified 100+ risks at 95% accuracy and generated $50M+ in savings by preventing last-minute operational disruptions.
- Architected enterprise Databricks and Spark infrastructure and automated data quality monitoring, delivering a 35% reduction in processing time and 40% reduction in debugging overhead across production pipelines.
- Engineered deep neural network models and feature extraction pipelines powering real-time risk prediction across Air Canada's operational network, optimizing workflows from POC to production and achieving a 15% reduction in compute costs.
- Delivered 100+ batch and real-time ingestion pipelines using SQL and Scala, optimizing large-scale transformations and data availability for production environments.
Data Engineer @ Nureva Inc.
Feb 2019 – Aug 2022
- Developed and maintained ETL workflows using Apache Spark and Airflow to migrate millions of records from an on-premises deployment to a modern cloud-native architecture.
- Engineered a star schema data model for normalized data storage, facilitating reporting and analysis on over $10M in annual marketing expenditures.
- Automated ETL deployment workflows through CI/CD and version control, accelerating release cycles and reducing deployment errors across the data pipeline.
Electronic Design Engineer @ OrbSurgical Ltd.
Oct 2018 – Feb 2019
- Led documentation and prototype development for projects valued over $5 million, aligning technical solutions with end-user requirements and modernizing operations.
- Conducted system and component-level testing, identified root causes of operational issues, and implemented solutions to improve system reliability and performance.
Graduate Assistant @ University of Calgary
(Research & Teaching)
Aug 2016 – May 2018
- Designed and delivered technical material on Python, SQL, Scala, and distributed systems, focusing on architectural patterns and production engineering practices to prepare students for large-scale data initiatives.
- Presented research and led technical discussions on biometric applications, data governance, and security for academic panels, establishing strategic frameworks for complex data environments.
Engineering Technical Writer @ Arc Reactions Inc.
2016 – 2017
- Researched and created articles that highlighted new developments occurring in the energy sector related to engineering.
- Conducted peer reviews for materials published by colleagues as well as provided feedback.
- Responsible for organizing interviews and scheduling meetings between key individuals from growing industries.
Some Things I've Built
Featured Project
AWS IoT Streaming
A comprehensive IoT streaming platform leveraging AWS services to collect, process, and visualize real-time sensor data. Implemented scalable architecture using AWS IoT Core, Kinesis, and Lambda for high-throughput data ingestion and processing.
- AWS IoT Core
- AWS Kinesis
- AWS Lambda
- Python
- DynamoDB
Featured Project
Gait Trait Analyzer
Contactless biometric gait analysis system using computer vision and machine learning. Utilizes a virtual 3D skeleton to extract unique gait traits and construct behavioral models in real-time for security and identification applications.
- Python
- OpenCV
- TensorFlow
- Scikit-learn
- Kinect SDK
Other Noteworthy Projects
Smart Forceps
Stream real-time feedback data to improve motor skills for surgeons through haptic feedback and motion tracking.
- Embedded C
- Arduino
- IoT
Income Classification
Testing and tuning multiple classification algorithms on public income database, comparing performance of decision trees, logistic regression, and KNN.
- Python
- Scikit-learn
- Pandas
Get In Touch
I'd love to hear from you if you're looking for a consultation or even if you just have a general inquiry. Whether you have a project in mind or just want to say hi, I'll do my best to get back to you!
Please fill out the form below with your inquiry and we'll be in touch.