Navnath Auze Data engineer

🌟 About Me: I am a passionate and results-driven Data Engineer with over 8 years of experience, including 6+ years specializing in Azure Data Engineering and 2+ years in Gen AI. My expertise spans cloud computing, big data technologies, and advanced AI solutions, enabling organizations to transform their data into actionable insights. With a strong background in designing and optimizing data pipelines using Azure Data Factory (ADF), Azure Databricks, Delta Lake, and other Azure tools, I help organizations manage, process, and analyze large datasets at scale. My experience also extends to integrating Generative AI techniques, such as prompt engineering, building intelligent AI agents, and leveraging large language models (LLMs) to create smarter, data-driven solutions. 🔍 Core Competencies: Azure Data Solutions: Expertise in Azure Data Factory (ADF), Azure Databricks, and Azure Data Lake, focusing on data pipeline optimization, cloud integration, and efficient storage solutions. Big Data Technologies: Hands-on experience with Apache Spark, PySpark, and Hadoop, specializing in large-scale data processing, analytics, and performance tuning for faster report generation. Generative AI & Advanced Technologies: Proficient in developing Generative AI solutions, including fine-tuning large language models (LLMs), building retrieval-augmented generation (RAG) systems, and utilizing vector databases for advanced AI capabilities. AI Agents & Agentic AI: Skilled in developing autonomous AI agents that leverage agentic AI principles for intelligent decision-making and user interaction. ETL & Data Integration: Extensive experience in designing and orchestrating ETL/ELT pipelines, migrating data from on-premises systems to Azure Data Lake, and implementing end-to-end data integration using ADF. Technologies & Tools: Azure Data Solutions: Azure Data Factory, Azure Databricks, Azure Data Lake Storage (ADLS), Delta Lake, Blob Storage, Azure SQL Database, and Azure SQL Data Warehouse. Big Data & Cloud Technologies: Apache Spark, PySpark, Hadoop, Data Bricks, Spark SQL. Programming Languages: SQL, Python Generative AI & LLMs: LangChain, Vector Databases, RAG Systems, Large Language Models, AI Agents Vision: I am driven by the intersection of data engineering and AI, aiming to push the boundaries of innovation. My goal is to empower organizations to unlock insights from their data through robust data engineering processes while leveraging AI to solve complex problems and enhance decision-making.