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About Alexander

I help companies create value from data – through high-performance ETL processes, scalable data warehouse architectures, and meaningful BI solutions.

As an experienced BI Developer and Data Engineer, I support you in the conception, development, and optimization of your data platform – whether on-premise (e.g., Oracle, MS SQL) or in the cloud (Azure, Fabric, Snowflake).

I bring over 10 years of project experience – especially in complex ETL processes, data modeling (including Data Vault 2.0), and the development of modern reporting solutions with Power BI, Qlik Sense, and OBIEE.

My Focus Areas:

Development & Optimization of ETL pipelines (Pentaho, PL/SQL, T-SQL, dbt, Python)
Building & Maintaining Scalable DWHs (Oracle, MS SQL, Azure, Snowflake)
Reporting with Power BI & Qlik – including dashboard design and data modeling
Workflow Orchestration with Apache Airflow & CI/CD in the data environment
Integration of heterogeneous data sources (SAP, Telematics, APIs, Flat Files, etc.)

Typical Projects:

Migration of outdated ETL processes into modern frameworks
Building Data Lakes or Data Warehouses for various business units
Development of self-service dashboards for controlling, logistics, or sales
Implementation of monitoring & data quality checks with Airflow and dbt

Added Value for Your Project:

I work in a structured, communicative manner with deep technical expertise – always solution-oriented and aligned with the needs of the business departments.

Let's talk if you are looking for a reliable BI specialist and Data Engineer for your data project!
  • German

    Native or bilingual

  • English

    Fluent

Can work on-site
Hamburg (up to 50km)

Experience

  • Fr. Meyers Sohn GmbH
    Data Engineer
    LOGISTICS AND SUPPLY CHAIN
    May 2022 - Today (4 years and 1 month)
    Hamburg, Germany
    Development and optimization of an enterprise-wide data warehouse based on Oracle, focusing on ETL processes (Pentaho, PL/SQL) and reporting (OBIEE, Oracle Analytics Server). Achievements: Successful development of a stable backend architecture and implementation of complex data flows that enabled data-driven decisions in various business units. Implementation and establishment of Apache Airflow as a central tool for ETL monitoring and orchestration. Conception and implementation of a sequential loading procedure to replace the previous daily batch, leading to higher data freshness and process stability.
    Data-Warehouse-Design – Entwicklung & Optimierung eines DWH auf Oracle-Basis ETL-Entwicklung – Komplexe Datenflüsse mit Pentaho, PL/SQL und sequenziellen Ladeverfahren BI-Reporting – Erstellung von Analysen und Reports mit OBIEE und Oracle Analytics Server Workflow-Orchestrierung – Einführung & Betrieb von Apache Airflow zur ETL-Steuerung Prozessoptimierung – Steigerung von Datenaktualität und Stabilität durch Ladeprozess-Redesign
  • Eurofins Information Systems
    BI Developer
    BIOTECH
    September 2020 - April 2022 (1 year and 7 months)
    Hamburg, Germany
    At Eurofins, I was responsible for the further development and optimization of existing ETL pipelines in the Microsoft SQL Server environment. I analyzed and improved data flows and prepared them for further processing. Additionally, I designed and developed interactive Power BI dashboards for visualizing operational and strategic KPIs. Close collaboration with business departments enabled targeted implementation of reporting requirements and improved data quality.
    ETL-Optimierung (MS SQL) – Analyse & Weiterentwicklung von Datenprozessen mit T-SQL Datenmodellierung mit Data Vault 2.0 – Umsetzung skalierbarer DWH-Strukturen für Langzeit-Nutzung Power BI Reporting – Design interaktiver Dashboards für unterschiedliche Stakeholder Anforderungsanalyse – Übersetzung fachlicher Bedürfnisse in technische Lösungen Datenqualität verbessern – Validierung & Aufbereitung von Daten für zuverlässige Auswertungen
  • Otto Group (Baumarkt Direkt)
    Data Warehouse Developer
    E-COMMERCE
    September 2018 - August 2020 (1 year and 11 months)
    Hamburg, Germany
    At Otto, I was responsible for the maintenance and further development of the company-wide data warehouse. A key focus was on controlling and optimizing existing ETL processes, as well as integrating new data sources from various operational systems. Through close coordination with business departments, relevant data was provided promptly, and the data foundation was continuously expanded. The measures implemented contributed to improved data availability, higher process security, and faster analysis cycles.
    DWH-Weiterentwicklung – Pflege & Ausbau bestehender Data-Warehouse-Strukturen ETL-Steuerung – Überwachung und Optimierung von Ladeprozessen für stabile Datenflüsse Datenintegration – Anbindung und Harmonisierung neuer Datenquellen aus operativen Systemen Stakeholder-Kommunikation – Abstimmung technischer Anforderungen mit Fachabteilungen Prozesssicherheit erhöhen – Maßnahmen zur Steigerung von Datenverfügbarkeit & Stabilität

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Education

  • Nanodegrees in Data Engineering, Data Scientist und Machine Learning erworben
    Udacity
    2020
  • MBA (Master Business Administration)
    FOM-Hochschule
    2017

Certifications

  • Microsoft Fabric Data Engineer
    Microsoft DP-700
    https://learn.microsoft.com/api/credentials/share/de-de/AlexanderDudko-1049/912A3F0484EA1726?sharingId=F5DEDCCDDBA71658
    Power BI in Fabric nutzen – Datenmodellierung, DAX und Visualisierung direkt innerhalb der Fabric-Umgebung Sicherheit & Governance umsetzen – Rollen, Zugriffskontrolle, Sensitivity Labels und Auditierung in Fabric anwenden Leistung überwachen & optimieren – Analyse von Pipeline-Performance und Verwaltung von Fabric-Ressourcen Lakehouse & Warehouse modellieren – Erstellung skalierbarer Modelle in Fabric mit Synapse- und OneLake-Technologien Data Pipelines erstellen – Aufbau von Datenflüssen in Microsoft Fabric mit Dataflows, Pipelines und Notebooks T-SQL & DAX anwenden – Abfragen und Analysen mit T-SQL im Warehouse und DAX in Power BI durchführen
  • Microsoft Fabric Analytics Engineer
    Microsoft DP-600
    https://learn.microsoft.com/api/credentials/share/de-de/AlexanderDudko-1049/AB76EB7E0702C51B?sharingId=F5DEDCCDDBA71658
    Daten transformieren mit Dataflows & Notebooks – Aufbereitung und Transformation von Daten direkt in Fabric Inhalte in Power BI bereitstellen & verwalten – Entwicklung, Veröffentlichung und Pflege von Berichten & Datasets Direct Lake & Import nutzen – Aufbau performanter Datenmodelle mit optimaler Speicheranbindung End-to-End-Analysen in Microsoft Fabric – Nutzung von Lakehouse, Warehouse und Power BI für durchgängige Datenanalysen Data Governance implementieren – Einsatz von Sicherheitsrollen, Richtlinien und Zugriffskontrollen in Fabric Daten modellieren mit Power BI – Aufbau semantischer Modelle, Measures & KPIs mit DAX

Skill set

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