I am a Data Engineer with 4 +years of experience in building, implementing, data warehousing solutions and optimizing data architectures using Cloud services (Azure ,GCP).Looking for a challenging position where I can use my extensive knowledge of Spark, Databricks and Azure Cloud to contribute to innovative data engineering projects in a fast-paced work environment.I am also a Masters student in computer Science at Wichita State University, with a Bachelor's degree in computer science and Engineering.As a Data Engineer with 4 years of experience, I specialize in designing, building, and optimizing data pipelines to support scalable, high-performance analytics and machine learning applications. With hands-on expertise in technologies like Apache Spark, Kafka, and AWS services (S3, EC2, Glue, Athena, Redshift), I efficiently handle large-scale data processing, ensuring reliable and clean data flows for real-time and batch systems.Key areas of expertise:End-to-end Data Pipelines: Skilled in data ingestion, transformation, and analysis using AWS, ensuring smooth and efficient data flows.Big Data & Streaming: Proficient in using tools like Spark and Kafka to build and maintain real-time streaming applications for high-velocity data.Cloud Platforms: Experience with AWS for data storage, processing, and analytics, utilizing services like EMR, S3, Redshift, and Glue.ETL Development: Developed robust ETL processes and automated data refresh schedules for up-to-date analytics and reporting.Data Quality & Validation: Implemented stringent data quality checks to maintain high standards of accuracy and consistency across datasets.Collaboration & Reporting: Collaborated with cross-functional teams to generate insights and reports using Tableau, SSRS, and Crystal Reports.I’m passionate about improving data workflows, driving system scalability, and delivering actionable insights that help businesses grow. Always eager to take on new challenges, I thrive in team settings, solving complex data problems.