I'm Mahammad, Senior Data Engineer living in Stuttgart, Germany 
Work experience Data Engineer with 6+ years of experience designing and optimizing large-scale data platforms, pipelines, and analytics solutions. Specialized in building cloud-native data infrastructures, integrating diverse data sources, and enabling real-time and batch processing. Skilled in Python, SQL, and C++, with proven expertise in AWS, Kafka, Airflow, and modern ETL frameworks. Focused on helping companies modernize data systems, improve reliability, and unlock data-driven insights across enterprise and industrial domains.
Highlights Designed and deployed scalable ETL pipelines (Python, Airflow, AWS Glue) processing millions of daily records across enterprise IT and manufacturing systems. Built a cloud-based data lake architecture on AWS (S3, Redshift, Lambda), centralizing structured and unstructured datasets for analytics and ML. Developed streaming ingestion pipelines using Kafka and Kinesis to deliver near real-time insights for IT operations. Implemented automated data quality checks and monitoring dashboards, reducing data errors by 35% and improving reliability of analytics reporting. Collaborated with architects and analysts to define data models and optimize queries, improving performance of BI workloads by 40%.
Additional skills Python, SQL, ETL, Data Engineer, Azure, Snowflake, Databricks, T-SQL, Docker, Data Warehouse + 20 more Languages English C1 - Advanced German B1 - Intermediate Azerbaijani Native Turkish Native
- 📝 I regulary write technical articles for [hashnode] and [dev.to]
- 💻 I use daily: .java, .py, .sql
- 📖 I am currently reading Designing Data Intensive Application by Martin Kleppmann
- 👯 We can connect to play some games of Chess ♟
- 🧑💻 Tech I work on :
