Rajesh Yadav

Senior Specialist Data Engineer @LTIMindtree

Dallas, TX, US

Developed real-time fraud detection models using PySpark and Kafka.Automated anomaly detection with unsupervised learning and streaming pipelines.Integrated LangChain and LLM-based tools for advanced analytics workflows.Extensive experience in large-scale Big Data applications, including analysis, design, and development using Java, Apache Hadoop, Spark, Scala, MapReduce, HDFS, Hive, Impala, NoSQL databases (e.g, HBase), and Microservices in Linux and Windows environments. Build machine learning models using AdaBoost, XGBoost, and K-Means Clustering for advanced data analysis and predictive modeling.Hands-on experience in creating Apache Spark pipelines for various ETL jobs, enabling efficient data processing, transformation, and integration across diverse platforms.Developed data pipeline using Oozie, Apache Airflow, and Autosys.