aether
describing objects and making the actions or situations to be written descriptively in human language
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I am a data engineer with hands-on experience in building and optimizing large-scale ETL pipelines, real-time data ingestion systems, and analytics solutions that integrate advanced AI and Gen AI components. My work has involved designing and implementing data workflows using Azure, Databricks, PySpark, and Delta Lake, with a strong focus on automating data validation, anomaly detection, and data quality improvement through Gen AI and retrieval-augmented generation (RAG) techniques. I have collaborated on projects requiring the transformation of natural language queries into structured data operations, leveraging LLMs and RAG for accurate data retrieval and annotation, and orchestrated multi-step AI workflows using LangGraph. My expertise extends to API development with FastAPI, dashboard creation with Power BI and Superset, and ensuring high-quality, reliable data pipelines for AI and machine learning applications. I am passionate about delivering clean, well-labeled, and context-rich datasets that power effective AI solutions.
describing objects and making the actions or situations to be written descriptively in human language
Bachelor of Science, Computer Science and Engineering
Data Engineer