freiberufler Data Strategy Consultant auf freelance.de

Data Strategy Consultant

zuletzt online vor wenigen Tagen
  • auf Anfrage
  • 61118 Bad Vilbel
  • auf Anfrage
  • en  |  de
  • 26.01.2026

Kurzvorstellung

I've built Data Teams in the Fintech scene in Berlin for the past 8 years. I have designed and implemented end-to-end architectures and infrastructure in multiple companies and been responsible to increase the adoption of data in daily activities.

Geschäftsdaten

 Steuernummer bekannt

Qualifikationen

  • Airflow
  • Amazon Web Services (AWS)9 J.
  • Data Warehousing3 J.
  • dbt
  • Generative KI
  • Google Cloud2 J.
  • Infrastrukturarchitektur
  • Microsoft Azure
  • Python7 J.
  • Snowflake3 J.
  • SQL5 J.

Projekt‐ & Berufserfahrung

Data Strategy Consultant
BO1 AG, Frankfurt am Main
7/2024 – 5/2025 (11 Monate)
Finanzdienstleister
Tätigkeitszeitraum

7/2024 – 5/2025

Tätigkeitsbeschreibung

- Defined, designed the requirements for data services on
Azure that will facilitate a Data Lake, Data Analytics and
reporting capabilities for a Fintech in the Payments space
- Defined and instrumented a mobile events tracking plan
within Amplitude for a native mobile Payments app built
by the client to facilitate product and customer analytics
- Defined the KPI for the client based on a North Star
Framework to empower stakeholders for operational
excellence, success and push for growth.
- Building and designing dashboards in Power BI for Management Reporting and monitor operational excellance.

Tool-kit: Amplitude, Power BI, Azure Data Lake, Azure Data Factory

Eingesetzte Qualifikationen

Microsoft Azure, Python

Senior Data Engineer / Data Architect
O. K. | Data & Analytics Consultancy, Bad Vilbel
7/2023 – offen (2 Jahre, 8 Monate)
IT & Entwicklung
Tätigkeitszeitraum

7/2023 – offen

Tätigkeitsbeschreibung

• Aufbau und Weiterentwicklung moderner Datenplattformen und Datenprodukte (hands-on)
• Entwicklung von Data Pipelines, Data Models und Analytics Layers mit Python, SQL und modernen Cloud-Stacks
• Umsetzung von AI- und RAG-basierten Datenprodukten mit Fokus auf Datenqualität, Robustheit und Produktivbetrieb
• Automatisierung datengetriebener Workflows zur Reduktion manueller Prozesse und Verbesserung der Effizienz

• Designed and built AI-enabled data products using Python, including RAG pipelines and agent-based systems with LangChain, Pydantic, Instructor, and AWS Bedrock
• Designed and built RAG applications, optimized end-to-end processes using Palantir Foundry, Palantir AIP
• Implemented structured output validation, retry logic, observability, and human-in-the-loop patterns to improve robustness and production readiness of AI systems
• Developed data products and analytical workflows using Python, DuckDB, and Jupyter, focusing on fast iteration and reproducible analysis
• Worked with vector search, hybrid retrieval, and prompt-driven workflows where data modeling and data quality are critical
• Designed system architectures balancing experimentation with production constraints (security, cost, latency)

Tech: Python, DuckDB, AWS Bedrock, LangChain, Pydantic, Pydantic AI, Palantir Foundry

Eingesetzte Qualifikationen

Amazon Web Services (AWS), Google Cloud, SQL

Head of Business Insights (Hands-on Data Architect, Data Engineer & Analytics Engineer) (Festanstellung)
Qonto GmbH (previously Penta Fintech GmbH), Berlin
11/2019 – 6/2023 (3 Jahre, 8 Monate)
Finanzdienstleister
Tätigkeitszeitraum

11/2019 – 6/2023

Tätigkeitsbeschreibung

• Aufbau und technische Verantwortung der unternehmensweiten Daten- und Analytics-Architektur (hands-on)
• Implementierung eines modernen Data Stacks mit AWS, Snowflake, dbt, Airflow und BI-Tools
• Entwicklung komplexer, wiederverwendbarer Datenmodelle für Finanz-, Produkt- und Funnel-Analysen
• Etablierung von Analytics-Engineering-Best Practices (Testing, Versionierung, Datenqualität)

• Designed and built the company-wide data architecture and analytics platform, owning the technical implementation end-to-end
• Implemented a modern data stack using AWS, Terraform, Airflow, dbt, Fivetran, Snowflake, and Tableau to support management reporting and analytical data products
• Designed and developed complex, reusable data models supporting revenue analysis, margin analysis, and conversion funnel analytics across multiple domains
• Built standardized data transformation layers and data quality checks to improve consistency, trust, and reliability of analytics outputs
• Partnered with product teams during system and schema design to ensure data structures supported scalable analytics and downstream reporting
• Introduced Analytics Engineering best practices based on DevOps practices, including version control, code reviews, CI/CD pipelines, data testing, documentation, dev/prod environments to in order to increase team velocity and reliability

Tech: AWS, Terraform, Airflow, dbt, Snowflake, Fivetran, SQL, Tableau

Eingesetzte Qualifikationen

Amazon Web Services (AWS), Data Warehousing, Python, Snowflake

Senior Data Engineer / Analytics Engineer (Hands-on IC → Team Lead) (Festanstellung)
solaris SE, Berlin
11/2016 – 6/2019 (2 Jahre, 8 Monate)
Banken
Tätigkeitszeitraum

11/2016 – 6/2019

Tätigkeitsbeschreibung

• Aufbau und Betrieb eines PostgreSQL-basierten Data Warehouses (Skalierung von 3 auf 23+ Datenquellen)
• Entwicklung und Automatisierung von ETL-Prozessen und Reporting-Pipelines mit Python, SQL und Jenkins
• Umsetzung eines End-to-End Invoicing-Systems inkl. REST APIs, Datenpipelines und Automatisierung
• Technische Leitung und Umsetzung eines AML-Transaktionsmonitorings (Datenmodellierung, Performance-Optimierung, Produktivbetrieb)
• Reduktion von Abhängigkeiten zur Plattform-/IT-Abteilung durch Neugestaltung von Datenflüssen

Progressed from BI Analyst to BI Manager while remaining hands-on in data engineering, platform and data product development.

• Designed, built and maintained a PostgreSQL-based data warehouse, scaling data ingestion from three to over 20 sources
• Developed ETL pipelines, data processing workflows and data models using Python, SQL, and Jenkins
• Automated management and operational reporting, significantly reducing manual effort by 80% and improving reliability
• Designed and implemented an end-to-end invoicing system, including REST APIs, data pipelines, and automation (Python, Git, Jenkins), reducing manual effort by ~90%
• Led the technical design and implementation of an AML transaction monitoring system, including data modeling, query optimization and end-to-end delivery to production
• Improved SQL performance and data model efficiency to support large loan portfolio analytics and compliance use cases
• Integrated data exchange solutions with third-party providers to enable secure and reliable data sharing
• Reduced platform team dependencies by ~95% by redesigning data flows and ownership boundaries
• Introduced version control, CI/CD-style workflows, and reproducible data practices across analytics and reporting

Eingesetzte Qualifikationen

Amazon Web Services (AWS), Jenkins, Postgresql, Python, SQL, Tableau

Business Intelligence Analyst
OptioPay Group, Berlin
5/2016 – 8/2016 (4 Monate)
Finanzdienstleister
Tätigkeitszeitraum

5/2016 – 8/2016

Tätigkeitsbeschreibung

• Automatisierung von Customer-Performance-Reports mit Python, SQL und Jenkins
• Entwicklung von Power-BI-Dashboards zur Analyse von Kunden- und Umsatzkennzahlen
• Durchführung explorativer Datenanalysen und Market-Basket-Analysen zur Identifikation von Kaufmustern

• Automated customer performance reporting using Python, SQL, and Jenkins, reducing manual reporting effort
• Built analytical dashboards in Power BI to monitor customer performance and key business metrics
• Performed exploratory data analysis and market basket analysis using R to identify customer purchasing patterns
• Worked on data cleaning, transformation, and statistical analysis to support internal decision-making

Tech: Python, SQL, Jenkins, Power BI, R, Data Analysis

Eingesetzte Qualifikationen

Business Intelligence (BI), Postgresql, Power Bi, Python, R (Programmiersprache), SQL

Master Thesis: Fraud Discovery in Realty Ads
Hochschule für Wirtschaft und Recht, Berlin
10/2015 – 3/2016 (6 Monate)
Hochschulen und Forschungseinrichtungen
Tätigkeitszeitraum

10/2015 – 3/2016

Tätigkeitsbeschreibung

Researched how and if Machine Learning could optimize the detection and classification of fraudulent documents through Text Mining. Developed a 'Proof of Concept' using a variety of Machine Learning models (using Python and Scikit-Learn) to analyze e-mails using Natural Language Processing (NLP) technique to derive whether a classification for these documents.

Eingesetzte Qualifikationen

Maschinelles Lernen

Financial Analyst (Freelancer)
Altam Capital, Tel Aviv
5/2013 – 8/2023 (10 Jahre, 4 Monate)
Finanzdienstleister
Tätigkeitszeitraum

5/2013 – 8/2023

Tätigkeitsbeschreibung

Led the development of the financial model for a media venture. Including Waterfall, Feasibility Test, Market Entry Strategy, revenue projections with scenarios, Profitability Analysis. Skills: Data Processing, MS Excel, Financial modeling, communication

Eingesetzte Qualifikationen

Finanzierungsmodelle, Microsoft Excel

Project Finance Analyst
BDO - Ziv Haft Israel, Tel Aviv
8/2011 – 9/2012 (1 Jahr, 2 Monate)
Finanzdienstleister
Tätigkeitszeitraum

8/2011 – 9/2012

Tätigkeitsbeschreibung

Developed and maintained financial models of infrastructure, energy and desalination plants, transportation (BOT). Additionally, preformed model auditing for Infrastructure Projects for banks and financial institutions.
Skills: MS Excel, Financial modeling, risk management

Eingesetzte Qualifikationen

Finanzanalyse, Finanzierungsmodelle, Kommunikation (allg.), Microsoft Excel

Technical Support Consultant
Applicure Technologies LTD, Herzliya
6/2007 – 10/2008 (1 Jahr, 5 Monate)
IT & Entwicklung
Tätigkeitszeitraum

6/2007 – 10/2008

Tätigkeitsbeschreibung

Modelled Regular Expressions for clients in order to improve security. Analyzed HTTP Request logs for malicious attack and attempts. Knowledge of SQL Injection, XSS, Path Traversal and more

Eingesetzte Qualifikationen

Data Mining

IT Security Analyst
RSA - Security Division of EMC, Herzliya
5/2006 – 8/2007 (1 Jahr, 4 Monate)
IT & Entwicklung
Tätigkeitszeitraum

5/2006 – 8/2007

Tätigkeitsbeschreibung

IT Security Analyst of fraudulent activity in the Banking and Credit Card Industries. Monitored suspicious activity, detecting and investigating Phishing attacks against customers of financial institutions and credit-card companies.

Eingesetzte Qualifikationen

Data Mining

Information Systems Technical Expert
Israel Defense Forces, Tel Aviv
12/2002 – 12/2005 (3 Jahre, 1 Monat)
IT & Entwicklung
Tätigkeitszeitraum

12/2002 – 12/2005

Tätigkeitsbeschreibung

An Information Systems Technical specialist. Unit leader, emergency outbreak response team. Consultant to a wide range of stakeholders for information systems - debug and fix/troubleshooting issues with critical operational systems and software.

Eingesetzte Qualifikationen

IT-Techniker (allg.), IT Service Management (ITSM), Linux (Kernel)

Zertifikate

Deep Dive: Building Your First Pipeline
Palantir Technologies
2025
Foundry & AIP Builder Foundations
Palantir Technologies
2025
AWS Certified Cloud Practitioner
Amazon Web Services
2024
Data Engineering Zoomcamp
DataTalks.Club
2023

Ausbildung

M.Sc Business Intelligence and Process Management
Masters of Science
Hochschule Wirtschaft und Recht Berlin
2016
found in education place 0 found in education plac
B.A Business Administration
B.A Business Administration
Interdisciplinary School Herzliya
2010
Israel

Über mich

I am a senior data leader with extensive experience managing and building skilled and performant data teams.
I am proficient in instilling a strong Data Culture, Data Literacy program, in increasing automation capabilities and improving operational performance of a firm using data.
I possess strong technical skills and I am an avid business professional rooted in his love of numbers and of making sense of data.
I've designed, developed and orchestrated the infrastructure for several Fintechs - pushing forward a data driven culture, modernization of the data infrastructure and tech stack and creating a scalable and future proof architecture.
I deliver results on-time and more importantly results that matter and that bring the highest value.

Weitere Kenntnisse

Azure, Azure Data Factory, Azure Data Lake Storage, Snowflake, dbt labs, Apache Airflow, Python, Google Cloud, GCP, AWS, Data Lake, Data modeling, Tableau, Microsoft Power BI, Sisense, LangChain, LangGraph, Pydantic AI, Instructor, Palantir Foundry and Palantir AIP, Palantir Ontology

Persönliche Daten

Sprache
  • Englisch (Muttersprache)
  • Deutsch (Fließend)
Reisebereitschaft
auf Anfrage
Arbeitserlaubnis
  • Europäische Union
  • Schweiz
Profilaufrufe
1174
Alter
42
Berufserfahrung
23 Jahre und 2 Monate (seit 12/2002)
Projektleitung
10 Jahre

Kontaktdaten

Nur registrierte PREMIUM-Mitglieder von freelance.de können Kontaktdaten einsehen.

Jetzt Mitglied werden