Resume
Resume and role positioning
A formal CV download, supported by short summaries of the roles where my experience is strongest.
Data Engineering / Data Platform Resume
My resume is currently positioned around data engineering, data platforms, analytics engineering, and reliable data systems. It highlights both hands-on technical delivery and leadership experience across multi-country operational environments.
8+ years building data platforms, pipelines, analytics systems, and backend data products.
Led data engineering work across multi-country operational environments.
Managed and mentored data engineers while remaining hands-on technically.
Strong experience with Python, SQL, Snowflake, Airflow, dbt, Dataiku, Soda, Superset, Power BI, APIs, and Docker.
Role-specific positioning
I usually tailor my resume depending on the role. The same core experience can be framed differently depending on whether the position emphasizes data platforms, analytics engineering, backend engineering, or technical leadership.
Data Engineering / Data Platform
Best fit for roles focused on building scalable pipelines, warehouse layers, orchestration, data quality, governance, and reliable analytics foundations.
Snowflake-based data platform development
Airflow, dbt, Dataiku, and pipeline orchestration
Data quality checks, monitoring, and alerting
Source system integration and operational reporting
Analytics Engineering
Best fit for roles that need someone who can turn raw operational data into trusted models, metrics, semantic layers, and dashboard-ready datasets.
Business metric definition and reporting logic
Dimensional modeling and analytics-ready datasets
Dashboard enablement using Superset and Power BI
Collaboration with business and analytics stakeholders
Backend / Data Product Engineering
Best fit for roles that combine backend systems, APIs, data workflows, integrations, and practical product-facing engineering.
API development and systems integration
Python, C#/.NET, Node.js, and database-backed services
Docker-based development and deployment workflows
Experience bridging data systems with user-facing tools