•Good in Hadoop Framework and Big Data concepts. •Having Experience in writing HIVE queries & Pig scripts with hands on with MapReduce Programming Model. •Writing Hive I-JDF's and Pig I-JDF's based on requirements. •Experience with the Hadoop stack (HBase, Oozie, Sqoop, Hive, Flume,Pig , Kafka) •Experience in integrating HBase with Hive,Pig•Handle the JSON data using Hive,Pig and filter the data based on query factor. • Design and development experience in optimized ETL workflows of data from various source systems (Relational Database, Azure DataLake etc.) using Automated ADF data Ingestion Framework.• Design and development experience in transformation of data using Apache Spark using Python and Scala, then load to Azure Data Lake Gen1/Gen2 using Azure Data Factory, Kafka, Azure Databricks, Azure SQL Datawarehouse/Synapse.• Apache Spark Query Performance Tuning with Partitioning and Indexing Strategy implementation.• Experience in DBMS Data Warehouse, Star flake schema, Snowflake Schema and SSAS cubes implementation.• Data modelling, Data warehouse designing/Optimizing ETL workflows and building transformation logic using Spark ETL and PL/SQL (Oracle , Microsoft SQL Server)• Write ETL workflow using Spark and Azure data factory to get data from Azure data lake and to process data in Azure SQL Datawarehouse/Synapse and Azure databricks (Apache Spark) and Data Visualization through Power BI and . Excel• Good experience in Python programming and UNIX Shell Scripting.• Worked in implementing entire CI/CD using Azure DevOps• Experience with Version Control Systems like GIT and SVN (Subversion)• Technical Leadership in the areas of ETL, Analytics, Data Exploitation, Data Integration, Data Management and Technical Architecture.• Independently develops, executes, and monitors complex data management / analytic processes to support ad hoc data and information delivery for assigned projects.• Experience in creating Metadata Objects and Web Catalog Objects (Dashboards, Pages, and Reports) using OBIEE Admin Tool building report on enterprise data warehouse objects including dimensions, hierarchies, fact tables, and aggregates.• Data Migration of large-scale Oracle database of size more than 80 TB to a new platform and to a new datacenter.• Having experience in all stages of project life cycle.• Proficient in Pl-Sql programming using advanced Pl-Sql concepts and dynamic SQL .• Good Team player with Strong problem solving,Analytical,Excellent Communication and Interpersonal skills.