I am a highly skilled and dedicated Data Engineer with over 3 years of industry experience. My expertise lies in designing, developing, and implementing data solutions using cutting-edge technologies. I have a strong command of Apache Spark, Pyspark, Spark SQL, Scala Spark, Python, SQL, Hive, Hadoop Ecosystem, Data Warehousing, Data Ingestion, Data Integration, Data Migration, Data Governance, Data Modeling, and AWS Services (Glue, Athena, Redshift, EMR, S3), allowing me to effectively manage and optimize data pipelines. With a solid understanding of data architecture and ETL (Extract, Transform, Load) processes, I have successfully delivered scalable and efficient data solutions that drive business growth.My experience as Data Engineer has equipped me with the ability to build and maintain data warehousing solutions that handle large volumes of data with ease. I have utilized Python and SQL extensively to extract, transform, and load data from various sources, ensuring data integrity and accuracy. Additionally, I have leveraged AWS services such as S3, Redshift, and Glue to build scalable data pipelines and enable advanced analytics. My proficiency in Airflow has allowed me to orchestrate complex workflows, ensuring seamless data integration across multiple systems. Furthermore, I have implemented Aws Glue to schedule and monitor data processing tasks, enhancing efficiency and reliability.#DataEngineering #Python #SQL #PySpark #Scala #Spark #ETL #BigData #Hadoop #AWS #Hive #Datawarehousing #Datalake #Banking #Retail #Data #aws #dataintegration #datamigration #dataingestion #datatransformation #datacleaning #datagovernance #data #glue #airfloww