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Develop production Spark jobs for creating data outputs at scale
Develop production data operations with the integration of Spark and Airflow
Write python scripts to automate common data tasks
Automate infrastructure and repo-related items with terraform and Github Actions
Develop database schemas in postgres
Perform ad hoc data analysis using Jupyter, DuckDB and Polars
Help maintain or develop new features in existing python flask apps and REST API's
Create a python package for machine learning model monitoring

Develop BI apps using frameworks like Flask, Streamlit, R Shiny and Plotly
Create dashboards using tools like SSRS and Power BI
Use modeling techniques like regression to get insights
Use Jupyter notebooks for data analysis and visualizations
Write complex queries in MS SQL Server, Hadoop/Hive and Postgres
Develop data pipelines using python and Airflow
Provide data insights to stakeholders and propose process and operational changes