Sample document — fictional candidate for illustration purposes only. Your CV is prepared from your own record.
Certifications & Executive Education
Executive Program in Data Strategy — Stanford Graduate School of Business, 2022
Databricks Certified Associate Developer — Databricks, 2021
dbt Certified Analytics Engineer — dbt Labs, 2023
Professional Summary
Senior data executive with 11 years of experience building data platforms and analytics organisations at scale. Joined N26 as its first dedicated data hire; scaled the function to 28 people across data engineering, analytics, and data science. Combines deep technical fluency (dbt, Databricks, Tableau) with board-level communication, product roadmap ownership, and regulatory compliance experience in the European fintech sector.
Platform & Organisational Highlights
200+
Platform users scaled to (from 0)
78%
Reduction in data incident rate
28
Data team headcount built
€2.1M
Annual infra savings via platform consolidation
Technology Stack
dbt
Databricks
Tableau
Python
SQL
Spark
Snowflake
Airflow
Fivetran
Terraform
AWS
Monte Carlo (data observability)
Git
Experience
N26, Berlin
- Business question: How could N26 reduce the data incident rate that was eroding analyst trust in production dashboards? Approach: Deployed Monte Carlo data observability across 1,400 dbt models; established SLA tiers, on-call rota, and incident post-mortem culture. Outcome: Incident rate fell 78% within 9 months; analyst NPS for the data platform rose from 32 to 61.
- Business question: Was maintaining three separate BI tools (Tableau, Looker, Metabase) sustainable at scale? Approach: Led a platform consolidation project, migrating to a single Tableau + dbt semantic layer; ran change management with 9 product squads. Outcome: Consolidated to one platform saving €2.1M/year in licensing and reducing analyst onboarding time from 3 weeks to 5 days.
- Business question: How should the company demonstrate GDPR-compliant data lineage to BaFin regulators? Approach: Built end-to-end data lineage documentation using dbt's native graph and a custom metadata store; produced an audit pack reviewed by external counsel. Outcome: Passed BaFin data governance review with zero findings; process now used as a template for N26's expansion markets.
- Scaled data team from 9 to 28 across 4 sub-teams; introduced levelling framework and data career ladder used across 3 European offices.
N26, Berlin
- Business question: Could the data platform support 200 concurrent users from 3 users when N26 scaled from seed to Series D? Approach: Migrated from a single PostgreSQL instance to a Databricks + Snowflake architecture; introduced dbt for transformations and Fivetran for 22 source connectors. Outcome: Platform scaled to 200 active users with no degradation in query performance.
- Business question: Were manual data extractions creating compliance exposure for the finance team? Approach: Designed a governed data access layer using Snowflake row-level security; replaced 14 manual extraction scripts with monitored pipelines. Outcome: Eliminated all uncontrolled extractions; internal audit closed 6 open data-access findings in the following cycle.
- Hired and developed the first 9 data engineers at N26; established engineering interview process and technical onboarding programme.
Zalando, Berlin
- Business question: Could a unified customer 360 view be built from 7 disparate source systems to power personalisation? Approach: Designed a Spark-based data vault on AWS EMR integrating CRM, web, app, and logistics data; modelled 28 curated entities. Outcome: Customer 360 powered a personalisation engine that increased email campaign click-through by 19% across 14M active customers.
- Led migration of 80 legacy Informatica jobs to Python + Spark; delivered on time and 15% under budget.
Deutsche Telekom, Bonn
- Built churn prediction models for residential broadband; provided monthly scoring to the retention marketing team.
- Outcome: Retention campaign powered by model scores achieved 24% lower churn rate vs. control group in 6-month trial.
Additional Skills
- Data governance & GDPR compliance
- C-suite & board reporting
- P&L responsibility & vendor management
- Data mesh & federated architecture
- Executive hiring & team building
- German (native), English (C2), French (B2)
Education
Executive Program in Data Strategy
2022
Stanford Graduate School of Business
MSc Information Systems
Oct 2011 – Sep 2013
Humboldt-Universität zu Berlin — Summa Cum Laude, Thesis on Real-Time Stream Processing
BSc Business Informatics
Oct 2008 – Jul 2011
Humboldt-Universität zu Berlin — Magna Cum Laude