Data your management can rely on.

I build data platforms, data models and dashboards: from connecting the sources to the figure in the management report. Freelance and remote, in German or English.

Sonja Armbruster, Senior Data & Analytics Engineer based in Frankfurt. Working with data since 2004: 18 years at Commerzbank, then projects for AstraZeneca, CLAAS and Groz-Beckert.

Profile
Role
Senior Data & Analytics Engineer
In data since
2004
Industries
Banking, pharma, agricultural machinery, engineering
Tools
Tableau, Power BI, Databricks, SQL, Python
Way of working
Freelance, remote
Languages
German, English
Based in
Frankfurt am Main

What I build for you

From the source system to the dashboard: I take on the whole pipeline, or the part your team is missing.

Data platforms and pipelines

Bringing scattered sources together on one platform, with Databricks, PySpark and Spark SQL, Delta Lake and a medallion architecture. I connect sources such as Funnel.io, Matomo or Salesforce Marketing Cloud through their REST APIs, and the runs update incrementally.

Data models and data quality

A clean data model in which every metric is defined once, so every department works with the same number. Plus quality checks, reconciliation, monitoring and documentation.

Dashboards and reporting

Management dashboards and self-service BI in Tableau, my strongest tool, as well as in Power BI and MicroStrategy. Built on datasets prepared for reporting, so reports load fast.

Analysis and predictive models

Segmentation and predictive models such as random forest and XGBoost, for example for predictive maintenance or cross-selling, with results that management and business teams can use directly.

Selected projects

Long-running projects in agricultural machinery, engineering, pharma and banking.

  • CLAAS

    Senior Data Analyst & Data Platform Engineer

    Marketing data, agricultural machinery2024–2025

    Starting point

    Nine isolated marketing data sources with no shared keys. The data flowed unfiltered straight into Tableau.

    What I built

    A marketing data platform in Databricks that combines Funnel.io, Matomo and Salesforce Marketing Cloud with quality checks, plus dashboards in Tableau and Power BI on the customer journey and on the executive team's KPIs.

    • 6M+ records a day
    • 7 sources, 20+ countries
    • Runs in 1–2 minutes
  • Groz-Beckert

    Data Engineer & Analyst

    Production data, engineering2022–2024

    Starting point

    10 million sensor records with no structure and no quality control. The goal: find the patterns behind machine failures.

    What I built

    IoT data pipelines on AWS with systematic validation, monitoring and logging, predictive maintenance models, and reports for management and production.

    • 10% less unplanned downtime
  • AstraZeneca

    Business Intelligence Analyst

    Business intelligence, pharma2022–2023

    Starting point

    More than 20 reports a day, built by hand, with no automation and no common standard.

    What I built

    Automated sales and audience analytics with SQL and Python, standardised the reporting workflows, and built management dashboards in MicroStrategy and Power BI.

    • 20+ reports automated
    • Management dashboards
  • Commerzbank

    Quantitative Risk Analyst, then Data Analyst in customer analytics

    Risk and customer analytics2004–2022

    Starting point

    ECB and BaFin requirements for risk models and reporting, and later the migration from the data warehouse to a data lake.

    What I built

    Scoring and rating models, auditable data pipelines for stress tests and risk reporting, the migration to the Hadoop data lake, customer behaviour dashboards in Qlik Sense, Tableau and Power BI, and a cross-selling analysis.

    • 18 years of regulated data
    • €120M business potential identified

How I work

18 years of bank data under ECB and BaFin requirements shape how I work: every number has to be traceable.

Principles

  • Freelance and remote, in German or English
  • I work in your systems, with access you grant and can revoke
  • Metrics defined in writing, results reconciled with your existing reports
  • Documentation and handover, so your team can keep building on its own

Education and training

  • MBA, Quantitative Methods and Business InformaticsGoethe University Frankfurt
  • Tableau Desktop and Tableau Visual AnalyticsTableau, 2023
  • Neural Networks and Deep LearningCoursera, 2018
  • Machine Learning with PythonedX, 2017

Contact

Tell me briefly what it's about. I'll get back to you as soon as I can.

Typical requests

  • Build a data platform, or clean one up
  • Align metrics across departments
  • Build new dashboards in Tableau or Power BI, or replace old ones
  • Strengthen an existing data or BI team

Prefer email? info@sonjaarmbruster.com