Hadoop, Data Security, Data Quality, Data Governance, Data Architecture, Spark, Data Analysis, Encryption techniques, ETL processes, Big data tools, Real-time data processing, Data pipelines, data models, Data access controls

data engineering , Query Optimization, Data Platform Engineering, Real-time data processing systems, Cost optimization strategies, Indexing strategies, Distributed Systems Architecture, Storage tiering, Distributed data storage architectures, Machine learning workflows, High-volume ingestion pipelines, Large-scale distributed search and analytics platforms, Security best practices in distributed data systems, Data lake environments, Data lifecycle management

Machine Learning, Deep Learning, Tensorflow, Azure ML, Numpy, Pandas, Pytorch, MLops, Microsoft Azure, Python, Azure DevOps, Generative AI, Prompt engineering, Vector databases, Chatbots, Scikit-learn, Retrieval-based systems, Cloud-based ML workflows, Agentic AI systems, Large Language Models