Tobias L.-Data Engineer
Check rate
Experience
Data Engineer
unitb consulting GmbH
Responsibilities: Design and operation of end-to-end cloud data platforms for enterprise clients in publishing and finance, including infrastructure automation, pipeline development, monitoring, and data quality.
Activities:
- Built multi-layer data architectures on Databricks (Apache Spark, Delta Lake), BigQuery, and GCP
- Fully automated cloud infrastructure with Terraform across 3 environments (DEV/STG/PRD)
- Developed automated data pipelines with Python, dbt, and GCP services for various data sources
- Built monitoring and alerting systems for real-time platform monitoring
- Implemented data versioning and quality checks at every layer
- Designed automated testing and deployment pipelines in GitLab and Bitbucket
Achievements:
- Doubled production data processing capacity, reduced spike response time from minutes to ≤15 s, server errors ≈ 0
- Replaced 3,000 lines of manual configuration with a reusable automation module for 7 customer domains, reducing configuration errors to 0
- Delivered a complete end-to-end data platform at ~10 €/month in infrastructure costs
- Migrated 7 database tables with 0 downstream issues
- Removed 100 % of exposed credentials, eliminating dependency on external vendors
- Delivered 3-team integration in 1 sprint
Analytics Engineer
mylantech GmbH
Responsibilities: Design and delivery of scalable Azure data platforms for enterprise clients, including pipeline automation, reporting, and strategic consulting between IT and management.
Activities:
- Designed and deployed Azure data architectures with Azure Data Factory, Azure Synapse Analytics, ADLS Gen2, Azure SQL, and Microsoft Fabric
- Built automated data pipelines for end-to-end data integration and transformation
- Developed interactive Power BI dashboards with advanced DAX for multiple business departments
- Independently developed cloud-based data solutions from concept to production
- Translated technical requirements into data strategies for C-level stakeholders
Achievements:
- Reduced data integration processing time by 50 % through pipeline automation with Azure Synapse and ADLS Gen2
- Reduced data warehouse loading time by 25 % for enterprise clients
- Increased customer profit by 13 % through improved product traceability
- Implemented Europe-wide pharmaceutical product tracking, reducing delivery time by 20 %
Trainee Business Analytics
DKB AG
Responsibilities: Supported data-driven analysis processes in the banking sector with a focus on fraud detection, data quality, and stakeholder reporting.
Activities:
- Analyzed transaction patterns to identify anomalies and risk factors using Oracle SQL and Python
- Developed automated test scripts in Python to validate data pipelines
- Created complex ad-hoc SQL queries for structured stakeholder reporting
- Documented data workflows technically in Confluence
- Integrated workflows into Git and GitLab, including CI/CD pipeline debugging
Achievements:
- Directly contributed to fraud detection by identifying anomalies in 2 cases totaling 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
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Banking and Finance, Media and Entertainment, Information Technology, and Pharmaceutical.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Business Intelligence, and Strategy.
Summary
Data Engineer, 3+ years, building cloud-native data platforms on GCP and Azure for enterprise clients in publishing and finance. Stack: Python, SQL, dbt, Terra-form, Kubernetes. Results: 2× ingestion capacity, 50% shorter integration times, 13% profit increase through data traceability.
Skills
- Python
- Sql
- Dbt
- Terraform
- Azure
- Gcp
- Databricks
- Airflow
- Bigquery
- Fabric
- Power Bi
- Dax
- Gitlab Ci/Cd
Languages
Education
Freie Universität Berlin
M.Sc. · Economics · Berlin, Germany
Certifications & licenses
Microsoft Certified: Fabric Data Engineer Associate
Statistics
Experience
Global experience
Expertise
Qualifications
Frequently asked questions
Have questions? Find more information here.
Tobias is based in Berlin, Germany and prefers 100% remote projects.
Tobias speaks the following languages: German (Native), English (Advanced), Russian (Advanced).
Tobias has at least 2 years of experience. During this time, Tobias has worked in at least 3 different roles and for 3 different companies. The average length of individual experience is 1 year and 7 months. Note that Tobias may not have shared all experience and actually has more experience.
Based on recent experience, Tobias would be well-suited for roles such as: Data Engineer, Analytics Engineer, Trainee Business Analytics.
Tobias's most recent position is Data Engineer at unitb consulting GmbH.
In recent years, Tobias has worked for unitb consulting GmbH, mylantech GmbH, and DKB AG.
Tobias is most experienced in industries like Banking and Finance, Media and Entertainment, and Information Technology. Tobias also has some experience in Pharmaceutical.
Tobias is most experienced in business areas like Information Technology, Business Intelligence, and Strategy.
Tobias holds a Master in Economics from Freie Universität Berlin.
Tobias has 4 certificates. Among them, these include: Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Azure Fundamentals, and Microsoft Certified: Fabric Data Engineer Associate.
Tobias will be available full-time from January 2027.
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Calculated based on our freelancers’ daily rates as of 26 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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