Accomplished Data Engineer with 8 years of experience building, developing, and refining reliable data structures and pipelines. Proficiency in using state-of-the-art tools and techniques to support business insights and data-driven decision-making. Competent in data integration, large-scale environment performance optimization, and ETL process implementation.Capable of working with cross-functional teams to produce high-performance and scalable data solutions. adept at leveraging cloud services, big data technologies, and contemporary data platforms to improve data infrastructure and guarantee data security and quality. Major Expertise: Expertise in Big Data Analytics and Integration using Hadoop, Spark, Kafka, and Storm. Effective communication skills for engaging with clients to gather requirements, understand change requests, and report issues, ensuring alignment with project objectives. Experienced in Technical consulting and end-to-end delivery with architecture, data modeling, data governance, design, development, and implementation of solutions. Skillset:Big Data: Apache Spark, Hadoop, HiveDatabases: SQL, NoSQL, PostgreSQL, MongoDBCloud Platforms: AWS (Redshift, S3, Glue), Azure (Data Factory, Synapse), Google Cloud (Big Query, Dataflow)Programming Languages: Python, Scala, JavaOrchestration Tools: Apache Airflow, AWS Step FunctionsData Warehousing: Snowflake, Amazon RedshiftVersion Control: GitContainerization: Docker, Kubernetes. Let' Connect:I am dedicated to remaining at the cutting edge of emerging technologies through ongoing learning. Let's connect to explore potential opportunities for collaboration and growth as we embark on this journey together.