Design, build, and maintain scalable ETL/ELT pipelines using Python, PySpark, Databricks, Snowflake, and SQL. Integrate data from multiple sources, ensure data quality, optimize queries and workflow performance, and monitor and troubleshoot pipelines. Collaborate with analysts, data scientists, and software engineers to deliver data solutions while documenting data models, pipelines, and technical processes.

Develop and support Python applications using object-oriented programming, data structures, and web frameworks such as Django, Flask, and FastAPI. Assist with basic AI/ML model implementation and build or optimize Databricks data pipelines. Work with SQL and NoSQL databases, Git, and analytical problem-solving while communicating technical information clearly.