Description

Senior Data Engineer with 10+ years of experience delivering scalable data platforms across Germany, USA, and Pakistan. I specialize in building end-to-end data pipelines, cloud architectures, and analytics solutions using Databricks, dbt, Snowflake, Apache Airflow, and AWS/Azure. Currently based in Berlin, I have worked across fintech, real estate, healthcare, and government sectors. I help companies turn raw data into reliable, actionable intelligence — from pipeline design to BI dashboards.

Industry field of expertise

Languages

English
Native or bilingual

Workplace preferences

Can work on-site

Berlin (up to 50km)

finanzen.net GmbH
Senior Data Engineer
August 2025 - Today (10 months)
76 Karlsruhe, Germany
• Built data workflows and warehouse on Databricks using PySpark and Delta Lake.
• Developed ELT models with dbt for data quality, lineage, and reporting.
• Ingested data from SharePoint, Zendesk, and Zoho using Airbyte.
• Captured changes from Aurora via AWS DMS with CDC, storing data in Amazon S3 in Parquet format.
• Managed data governance and access control using Databricks Unity Catalog.
• Worked with product and analytics teams to deliver scalable data products.
AWS PySpark Delta Lake Databricks DBT
Ziegert Group,
Data Architect
February 2023 - June 2025 (2 years and 4 months)
Berlin, Germany
• • Designed and built a robust data pipeline using Apache Airflow, dbt, PostgreSQL, and Docker.
• • Automated and scheduled data workflows with Apache Airflow, improving operational efficiency.
• • Implemented data modeling and quality checks using dbt for reliable and consistent data.
• • Managed scalable and reliable data storage with PostgreSQL.
• • Integrated OpenAI API to extract and identify valid deals from unstructured sources.
• • Applied AI-based classification to automatically assign deals to brokers, reducing manual effort.
• • Delivered actionable insights through structured data to support better business decisions and growth.
SQL DBT Python AWS Delta Lake
Datics Consulting,
Senior Data Engineer
July 2022 - January 2023 (6 months)
Berlin, Germany
• • Provisioned and managed scalable Azure infrastructure using Terraform to support data workflows for medical and industrial endoscopy devices.
• • Designed and implemented ETL pipelines using Azure Data Factory and Azure Databricks for efficient data ingestion and transformation.
• • Deployed and managed containerized applications in Kubernetes environments through automated CI/CD pipelines.
Databricks SQL Python AWS Snowflake