Built and deployed ETL/ELT pipelines, real-time streaming, ML/AI solutions, deep learning, and computer vision models. Used Azure Data Factory, PySpark, SQL, Power BI, Databricks, Git, CI/CD.

Implemented clean architecture & MLOps, created ETL/ELT pipelines, deployed ML/AI solutions (LLM, NLP, GenAI), deep learning, computer vision, data governance, and CI/CD with Azure, Databricks, Git.

Created and optimized ETL/ELT pipelines and cloud architectures, integrated ML/AI, deployed deep learning and computer vision models, maintained high system performance.

Designed and deployed ETL/ELT pipelines, data ingestion, real-time streaming, optimized data architectures (Azure, AWS, Databricks), integrated ML/AI (LLM, NLP, GenAI), deep learning, computer vision.

Built scalable data pipelines, ETL processes, automated workflows, implemented AWS solutions, integrated ML/AI into cloud data architectures.

Designed scalable data pipelines and ETL, implemented AWS data solutions (Redshift, Glue, Athena, DynamoDB, PySpark), automated ingestion and transformation workflows, integrated ML/AI outputs.