=> Highly competent Data Engineer proficient in technologies like Apache Spark, Pyspark, SQL , Hive , sqoop , Hadoop and Azure Databricks => Possess sound understanding of fundamental concepts in Bigdata and Cloud technologies. => Possess strong foundation on DBMS, RDBMS, Data structures, Distributed systems and Data warehousing. => Have a solid knowledge of Job Tracker, Task Tracker, Name Node, Data Node, YARN and MapReduce concepts. Tech stack : ========== Data warehousing : Hive , Snowflake (Basics) Hadoop Eco-system : Hadoop, HDFS, Map Reduce(Architecture) Data Processing : Spark(Python/Scala) Data Ingestion : Sqoop Programming Languages : Python, Scala, SQL Database : MySQL Cloud : Azure ( Basics )