Lukas Schneider

Senior Data Engineer
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Professional Summary
Data Engineer with 13+ years of experience designing, developing, and maintaining scalable data platforms and ETL/ELT pipelines. Strong expertise in cloud data engineering, data warehousing, Python, SQL, and distributed data processing. Experienced in working with cross-functional teams to deliver reliable data solutions for analytics, reporting, and machine learning use cases. Proven ability to optimize data pipelines, improve data quality, and build modern data architectures using cloud technologies.

Work & Experience

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Senior Data Engineer March 2022 - Present
RheinTech Solutions GmbH, Munich, Germany

Designed and implemented scalable data pipelines supporting business intelligence, analytics, and machine learning initiatives. Developed batch and streaming ETL/ELT workflows using Python, SQL, Apache Spark, and Databricks. Built and optimized cloud-based data warehouse solutions on AWS and Snowflake, reducing data processing times by approximately 40%. Collaborated with data scientists, analysts, and software engineers to establish data quality standards, monitoring processes, and reusable data models. Mentored junior engineers and contributed to the organization's transition toward a modern cloud data platform.

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Data Engineer July 2019 - February 2022
DataWerk AG, Berlin, Germany

Developed and maintained automated data pipelines for large-scale customer, sales, and operational datasets. Used Python and SQL to transform and validate data from multiple internal and external sources. Implemented ETL workflows and data models supporting reporting and business analytics teams. Improved pipeline reliability through automated testing, monitoring, and error handling. Worked closely with business stakeholders to translate reporting requirements into scalable and maintainable data solutions.