8+ years of professional experience in Data Engineering or related roles. Advanced skills in SQL, Python, and modern data transformation tools (e.g., DBT, Airflow). Expertise with cloud data platforms (e.g., AWS, GCP, Snowflake, BigQuery) and Infrastructure-as-Code tools (Terraform preferred). Strong background in data modeling, pipeline orchestration, and distributed data systems (e.g., Spark, Kafka). Proven ability to design, deliver, and maintain large-scale, high-quality data systems. Excellent communication and collaboration skills. A growth mindset and a passion for mentoring others.