| About
I am Ivan Metzlar, a highly experienced Data Engineer with a deep passion for modern data infrastructure, cloud computing, and distributed systems. With a strong foundation in software engineering and a specialization in data platform architecture, I have successfully led large-scale projects in industries ranging from gaming to healthcare.
As the Director of Data Engineering at Stillfront Group, I have been instrumental in modernizing data platforms, streamlining pipelines, and implementing data-driven decision-making frameworks for a globally distributed team. My expertise extends across technologies like Airflow, dbt, Cosmos, and AWS, ensuring scalable and reliable data solutions. Over the years, I have designed high-availability analytics pipelines, implemented automation strategies, and driven engineering best practices in both startups and enterprise environments.
Based in Nelson, British Columbia, I thrive in remote and collaborative settings, helping companies build robust data ecosystems that enable innovation. Whether optimizing existing infrastructure or developing solutions from the ground up, I bring a results-driven approach to every challenge. Let's connect and explore how we can build the future of data together.
Sincerely,
Ivan Metzlar
Software Engineer
| Experience
Throughout my career, I have played a pivotal role in advancing data engineering by architecting and scaling data platforms to support growing business needs. One of my key achievements has been the seamless integration of diverse data warehouses from multiple companies, streamlining operations and enabling unified data management at scale.
Understanding the critical balance between real-time analytics and batch processing, I have successfully designed and implemented solutions that allow organizations to leverage both without compromise. By optimizing data pipelines, I have empowered teams to extract timely insights while maintaining robust historical data processing frameworks.
I have also built and deployed machine learning workflows tailored to the needs of data scientists, providing them with scalable, reproducible environments while enhancing BI analysts' ability to explore and manipulate datasets with greater flexibility. Additionally, my expertise in designing multi-tenancy Airflow environments has improved resource utilization, collaboration, and overall system efficiency.
Driven by a passion for innovation and efficiency, I thrive on solving complex data challenges that transform businesses. I look forward to new opportunities where I can continue to shape the future of data engineering and drive meaningful impact.
| Skills
I have 20 years of experience using various tools and programming languages. The lists below show some that were used in recent projects.
Tools & Frameworks:
- Git
- Airflow
- Great Expectations
- Jupyter
- Django
- Dbt
- Boto
- Sqlalchemy
- Pytest
- Pylint
- Black
- Sqlfluff
- Typescript
Software & Clouds:
- AWS (Cloudformation, CDK)
- Lambda
- Athena
- ECS
- Snowflake
- Postgres
- Docker
- GitHub
- Jira
ivan@metzlar.ca
https://www.linkedin.com/in/ivan-metzlar-b34865a1