Prasanth Reddy

Microsoft Certified Data Engineer / Data Scientist with around 2 years of hands-on experience in data engineering, machine learning, LLM-based multi-agent orchestration, and cloud-native development on Azure. Holds multiple credentials including Microsoft Certified Fabric Data Engineer, Power BI Data Analyst Associate, and Snowflake SnowPro Certification. Proficient in designing and implementing scalable, secure, and automated data pipelines using Azure Databricks, Synapse Analytics, Delta Lake, Azure Data Lake Storage Gen2, Azure SQL, Azure Data Factory, and Azure Functions. Experienced in RBAC-enabled architectures, Microsoft Fabric, Eventhouse (KQL), and SendGrid for event-driven workflows. Skilled in KQL, SQL, PySpark, and Python, with advanced analytics and visualization expertise in Power BI, Tableau, and Excel. Demonstrated success in building end-to-end ETL and ELT pipelines, data lakes, and real-time streaming solutions across Azure and AWS ecosystems leveraging tools such as Glue, S3, Redshift, Athena, Lambda, Kinesis, CloudWatch, and SageMaker. Developed production-grade ML models using Scikit-learn, TensorFlow, Keras, XGBoost, and Hugging Face Transformers for tasks spanning classification, regression, clustering, CNNs, RNNs, and LLMs. Hands-on with Apache Spark, Airflow, Docker, CI/CD and containerized deployments, delivering robust, cloud-native data engineering and AI/ML solutions. Strong background in data modeling, pipeline orchestration, and data-driven decision intelligence through interactive visualizations.