
Designing and building scalable data pipelines, ETL processes, and data architectures. Leverage cloud platforms (AWS, GCP, Azure) for storage, compute, and analytics. Expertise in data modeling, database management (SQL, NoSQL, Redshift, BigQuery), and real-time data processing. Proficient in Python, PySpark, and orchestration tools like Airflow. Skilled in data visualization and analysis for actionable insights, ensuring secure, efficient, and robust data solutions.
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