I'm a Software project lead at GreenTorque, Kuwait, making a deliberate transition into data engineering. While I build backend systems and APIs in my current role, I've discovered my true passion lies in data infrastructure - the pipelines, warehouses, and systems that transform raw data into business value. Over the past year, I've been actively building my data engineering skills through hands-on projects: an enterprise ETL pipeline using Django, Celery, and PostgreSQL; a data warehouse handling 100K+ daily transactions; real-time streaming systems; and complete ML data infrastructure. I'm IBM-certified in Data Science with an MSc in Mathematics, giving me strong analytical foundations to complement my technical skills in Python, SQL, Apache Airflow, Spark, Kafka, and AWS. What sets me apart is my software engineering background - I understand how to build production-ready, maintainable data solutions that integrate seamlessly with applications. I've already achieved database performance improvements through optimization and indexing. My technical toolkit includes PostgreSQL, MongoDB, Redis and modern data engineering frameworks. Also I am an expert in using AI tools(vibe coding). I'm seeking Data Engineering opportunities where I can apply my skills and continue growing. Ready for immediate joining and relocation. Let's connect if you're looking for someone with strong software fundamentals who's committed to building a career in data engineering!…I'm a Software project lead at GreenTorque, Kuwait, making a deliberate transition into data engineering. While I build backend systems and APIs in my current role, I've discovered my true passion lies in data infrastructure - the pipelines, warehouses, and systems that transform raw data into business value. Over the past year, I've been actively building my data engineering skills through hands-on projects: an enterprise ETL pipeline using Django, Celery, and PostgreSQL; a data warehouse handling 100K+ daily transactions; real-time streaming systems; and complete ML data infrastructure. I'm IBM-certified in Data Science with an MSc in Mathematics, giving me strong analytical foundations to complement my technical skills in Python, SQL, Apache Airflow, Spark, Kafka, and AWS. What sets me apart is my software engineering background - I understand how to build production-ready, maintainable data solutions that integrate seamlessly with applications. I've already achieved database performance improvements through optimization and indexing. My technical toolkit includes PostgreSQL, MongoDB, Redis and modern data engineering frameworks. Also I am an expert in using AI tools(vibe coding). I'm seeking Data Engineering opportunities where I can apply my skills and continue growing. Ready for immediate joining and relocation. Let's connect if you're looking for someone with strong software fundamentals who's committed to building a career in data engineering!WWWW…