Technical Skills Summary (Short):
- Python, SQL; data processing with Python & Spark
- Real-time data ingestion using Kafka
- Cloud-based data architecture (AWS: Glue, Athena)
- ETL pipeline development (Airflow, Jenkins)
- Infrastructure as Code (IaC)
- Version control (Git) & technical documentation
- Big data platforms & scalable data flows
- Agile/Scrum/Kanban methodologies
- Strong data structures knowledge
- 5+ years data engineering experience
- Product mindset & strong communication skills
