8+ years of experience in data analytics, data engineering, or software development.
3+ years of experience leading migration projects, with a focus on SAS to Python transitions.
Proficiency in SAS programming (Base SAS, SAS Macro, SAS SQL) and the Python data science ecosystem (Pandas, NumPy, Scikit-learn, Jupyter, etc.).
Hands-on experience with ETL processes, data pipelines, and version control systems (e.g., Git).
Strong knowledge of SQL, NoSQL databases, and big data technologies.
Familiarity with machine learning models and libraries (e.g., Scikit-learn, TensorFlow).
Experience with cloud platforms like AWS, Azure, or GCP.