Data Engineer having 3.3+ years of experience in design, implement and Support different big data applications by using Apache Spark, Hadoop and Microsoft Azure.• Experience in all stages of the project including requirements gathering, designing & documenting architecture, development, performance optimization, data extraction, cleaning, and reporting.• Exposure to Azure cloud technologies such as Azure Virtual Machines, Azure Blob Storage, Azure HDInsight, Azure SQL Database, Azure Data Lake, Azure Active Directory, etc.• Strong experience in all Hadoop and Spark ecosystems including Hive, Spark SQL, Spark Streaming, and MapReduce, PySpark, SQL, Python along with various distributions such as Cloudera.• Proficient in programming languages such as Scala and Python. Worked on big, streaming, structured, and unstructured datasets. Also knowledgeable in the scheduler Airflow. • Capable of exploring, learning, and understanding newer business domains and technologies.