3–5 years’ experience in data engineering, preferably in logistics and supply chain sectors Required Knowledge: Design and develop scalable ELT/ETL pipelines using tools like Apache Airflow, SSIS, or ...

Design, develop, and maintain scalable data pipelines to ingest, process, and store structured and unstructured data from multiple sources. Develop ETL/ELT processes to transform raw data into clean, ...

From ETL workflows to real-time streaming, Python has become the go-to language for building scalable, maintainable, and high-performance data pipelines. With tools like Apache Airflow, Polars, and ...

Overview Structured Python learning path that moves from fundamentals (syntax, loops, functions) to real data science tools like NumPy, Pandas, and Scikit-learn ...

Overview Newer certifications are highlighting the importance of Generative AI and MLOps, which represent the changing ...