Amazing mentorship! Rahul helped me understand SQL, Spark, and cloud pipelines with real examples. His interview tips and personalised roadmap made a huge difference in my preparation
With 6+ years of dedicated experience in Data Engineering, I specialize in designing, building, and optimizing scalable data platforms. I am currently working in Madrid, Spain, contributing to high-impact engineering initiatives.
My expertise spans end-to-end data pipeline development using Python, SQL, PySpark, Airflow, Kafka, Databricks, AWS, and CDC frameworks like Debezium. I have hands-on experience implementing real-time data streaming, ETL/ELT pipelines, orchestration workflows, and building internal tools using Flask REST APIs.
I have worked extensively with JSON, Parquet, Delta Lake, Dockerized environments, Linux, and Bash scripting. I also bring experience in team leadership, mentoring, and project ownership, managing complex data engineering solutions from concept to production.
I’m passionate about leveraging data to drive insights, improve business processes, and build reliable systems at scale. I enjoy collaborating with cross-functional teams and continuously learning emerging technologies to deliver impactful, production-ready solutions.