Freelancer profile translated to English.
Back to original languageAbout Tobias
I build cloud-native data platforms on GCP and Azure, everything from infrastructure to production-ready data delivery for analytics and reporting teams.
Companies work with me when they:
- want to build scalable ETL/ELT pipelines from scratch
- need a Medallion Architecture (Bronze/Silver/Gold) on Databricks, BigQuery, Azure, or Microsoft Fabric
- want to automate their cloud infrastructure with Terraform
- maintainable, reproducible, across multiple environments
- need to set up production-ready data quality, monitoring, and alerting
- require Power BI Dashboards with complex DAX models and star schema data models
My results speak for themselves:
- 2x ingest capacity at <=15s spike response time,
- 50% shorter data integration times,
- 13% profit increase through better data traceability,
- complete data platform for ~€10/month infrastructure costs.
I am a Microsoft Certified Fabric Data Engineer Associate, Azure Data Engineer Associate, and Power BI Data Analyst Associate and am currently working on a near-realtime streaming platform on GCP.
My Stack: Python · SQL · dbt · Terraform · Databricks · BigQuery · Microsoft Fabric · Azure Synapse · Azure Data Factory · Airflow · Power BI · DAX · GitLab CI/CD · Docker · Kubernetes
Focus on GCP & Azure, but I am currently expanding AWS knowledge.
German
Native or bilingual
English
Fluent
Russian
Conversational
Can work on-site
Berlin (up to 20km)
Experience
- unitb consulting GmbHDATA ENGINEERCONSULTING AND AUDITSOctober 2025 - Today (8 months)Berlin, Germany• • Building multi-layered data architectures on Databricks (Apache Spark, Delta Lake), BigQuery, and GCP• • Full automation of cloud infrastructure with Terraform across 3 environments (DEV/STG/PRD)• • Development of automated data pipelines with Python, dbt, and GCP services for various data sources• • Building monitoring and alerting systems for real-time platform monitoring• • Implementation of data versioning and quality checks at each layer• • Design of automated test and deployment pipelines in GitLab and Bitbucket
- mylantech GmbHANALYTICS ENGINEERCONSULTING AND AUDITSMay 2025 - October 2025 (5 months)Munich, GermanyDesign and delivery of scalable Azure data platforms for enterprise clients, including pipeline automation, reporting, and strategic consulting between IT and executive management.• • Design and deployment of Azure data architectures using Azure Data Factory, Azure Synapse Analytics, ADLS Gen2, Azure SQL, and Microsoft Fabric• • Building automated data pipelines for end-to-end data integration and transformation• • Development of interactive Power BI dashboards with advanced DAX for multiple business units• • Independent development of cloud-based data solutions from concept to production• • Translation of technical requirements into data strategies for C-level stakeholders Successes:• • Reduced data integration processing time by 50% through pipeline automation with Azure Synapse and ADLS Gen2• • Reduced data warehouse load time by 25% for enterprise clients• • Increased customer acquisition by 13% through improved product traceability• • Implemented Europe-wide pharmaceutical product tracking, reduced delivery time by 20%
- DKB AGTRAINEE BUSINESS ANALYTICSBANKING AND INSURANCEOctober 2023 - March 2024 (5 months)Berlin, GermanySupport for data-driven analysis processes in the banking sector with a focus on fraud detection, data quality, and stakeholder reporting. Activities:• • Analysis of transaction patterns to identify anomalies and risk factors using Oracle SQL and Python• • Development of automated test scripts in Python for data pipeline validation• • Creation of complex ad-hoc SQL queries for structured stakeholder reporting• • Technical documentation of data workflows in Confluence• • Integration of workflows into Git and GitLab, including CI/CD pipeline debugging Successes:• • Direct contribution to fraud detection by identifying anomalies in 2 cases amounting to €250,000• • Reduced manual processing time in analytical workflows by 1 hour/day through automated test scripts• • Technical documentation enabled knowledge transfer across cross-functional teams
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Education
- Microsoft Certified: Fabric Data Engineer Associate, Microsoft Certified: Power BI Data Analyst Associate, Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Azure FundamentalsMicrosoft Certified: Fabric Data Engineer Associate Microsoft Certified: Power BI Data Analyst Associate Microsoft Certified: Azure Data Engineer Associat Microsoft Certified: Azure Fundamentals
- M.Sc.Le Wagon2026M.Sc.