Mohammad Raoofnia

Designed and prototyped a cloud-first self-service data platform for data ingestion, cataloging, storage, and SQL analytics. Evaluated and integrated technologies including SeaTunnel, Trino, Lakekeeper, object storage, and Kubernetes.

Led a team of 5 Data Engineers and 2 DataOps Engineers, managing 100+ streaming pipelines and 50+ ETL pipelines across 3 data products. Designed a migration roadmap to a new stack with 200% performance and 70% resource usage improvement.

Supervised code quality and reviewed 20+ merge requests per sprint in a team of 10+ developers. Developed high-performance data pipelines with Python Faust, Apache Airflow, and Kafka, and built scalable data infrastructure with Apache Spark, DeltaLake, and Kyuubi.

Developed scalable microservices using Java and Spring Boot, optimizing inter-service communication via Kafka. Configured and deployed Ethereum and Bitcoin full nodes and implemented communication modules.

Developed resilient microservices using Kotlin and Spring, leveraging Kafka and Feign to improve system reliability and reduce response time by 25%. Led key development efforts for the Cafe Bazaar video ad platform and the Digikala ad service.

Designed and deployed scalable data pipelines and services using PySpark and Flask. Developed an optimized text format for mobile and Web, reducing storage costs by 90% and improving rendering speeds by 95%.

Worked on Android development using Java and Android Studio.

Pursued a Bachelor of Science in Software Engineering, completing the program in 2020.

Completed a diploma in Mathematics and Physics, graduating in 2014.