Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
Develop and deploy robust data science solutions using Python, SQL, and cloud-based services.
Collaborate closely with data analysts, engineers, and stakeholders to understand data requirements and deliver high-quality insights.
Apply machine learning and deep learning techniques to solve real-world business challenges.
Optimize data workflows, models, and queries for performance, reliability, and scalability.
Implement and manage data warehousing solutions, contributing to overall data architecture and strategy.
Ensure data quality, security, and compliance with best practices.
Stay updated with the latest advancements in AI, ML, NLP, and related fields.
