38 skills found
High-performance DataFrame library for Python ETL, analytics, and pandas migration. Use for expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.
Build end-to-end data engineering pipelines with Harvard Art Museums API, ETL, SQL analytics, and Streamlit dashboards
Build ETL pipelines and analytics dashboards using Harvard Art Museums API with Python, SQL, and Streamlit
End-to-end data engineering and analytics application for Harvard Art Museums API with ETL pipelines, SQL analytics, and Streamlit visualization
End-to-end data engineering and analytics application using Harvard Art Museums API with ETL pipelines, SQL analytics, and Streamlit visualization
Build ETL pipelines and analytics dashboards for Harvard Art Museums API data using Python, SQL, and Streamlit
Build ETL pipelines and analytics dashboards using the Harvard Art Museums API with Streamlit, MySQL, and Python
Build ETL pipelines and analytics dashboards using Harvard Art Museums API with Python, SQL, and Streamlit
Build ETL pipelines and analytics dashboards for Harvard Art Museums API data with Python, SQL, and Streamlit
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data fo
Build end-to-end data engineering pipelines with the Harvard Art Museums API, ETL processes, SQL analytics, and Streamlit visualization
End-to-end data engineering pipeline using MinIO, Airbyte, PostgreSQL, DBT, and Airflow with medallion architecture (Bronze/Silver/Gold layers)
