Dimensional modelling, Data migration, Data cleansing, Data profiling, and ETL Processes features for data warehouses.

• Have Extensive Experience in IT data analytics projects, Hands-on experience in migrating on premise ETs to Google Cloud Platform (GCP) using cloud native tools such as BIG query, Cloud Data Proc, Google Cloud Storage, and Composer.
• Strong Experience using AWS and Azure Data services and creating the most Efficient Data Pipelines using optimized Solutions. Experience in using Snowflake Clone, Time Travel, Ab Initio and building snow pipe.
• Experience in automating day-to-day activities by using Windows PowerShell. Worked with creating Docker files, Docker containers in developing the images and hosting them in antifactory.
• Proficient in building CI/CD pipelines in Jenkins using pipeline syntax and groovy libraries. Extensive experience in relational Data modelling, Dimensional data modelling, logical/Physical Design, ER Diagrams and OLTP and OLAP System Study and Analysis.
• Develop batch processing solutions by using Data Factory and Azure Data bricks. Highly skilled in using visualization tools like Power BI, Tableau, matplotlib, Tibco Spotfire, ggplot2 for creating dashboards.
• Strong SQL Server programming skills, with experience in working with Functions, packages, and triggers.
• 5+ years of IT experience in Analysis, Design, Development in Big Data technologies like Spark, MapReduce, Hive, Yarn and HDFS including programming languages like Java, Scala, and Python.
• Experience using various Hadoop Distributions (Cloudera, MapR, Horton works, Azure) to fully implement and leverage new Hadoop features.
• Hands-on experience developing data pipelines using Spark components, Spark SQL, Spark Streaming and MLLib. Hands-on experience with Azure SQL Database, Azure SQL Data Warehouse, Azure Analysis Services, HDInsight, Azure Data Lake, and Data Factory.
• Experience in Cisco Cloud Center to deploy and manage applications in multiple data center, private cloud, and public cloud environments more securely.
• Employed the Agile paradigm throughout the entire software development life cycle. Develop DDL and DML statements for data modelling, data storage and investigated performance fine tuning.
• Experience working with both Streaming and Batch data processing using multiple technologies. Used Spark streaming, HBase, and Kafka to work on real-time data integration.
• Hands-on experience interacting with REST APIs developed using the micro-services architecture for retrieving data from different sources. Dimensional modelling, Data migration, Data cleansing, Data profiling, and ETL Processes features for data warehouses.
• Have Extensive Experience in IT data analytics projects, Hands-on experience in migrating on premise ETs to Google Cloud Platform (GCP) using cloud native tools such as BIG query, Cloud Data Proc, Google Cloud Storage, and Composer.
• Strong Experience using AWS and Azure Data services and creating the most Efficient Data Pipelines using optimized Solutions. Experience in using Snowflake Clone, Time Travel, Ab Initio and building snow pipe.
• Experience in automating day-to-day activities by using Windows PowerShell. Worked with creating Docker files, Docker containers in developing the images and hosting them in antifactory.
• Proficient in building CI/CD pipelines in Jenkins using pipeline syntax and groovy libraries. Extensive experience in relational Data modelling, Dimensional data modelling, logical/Physical Design, ER Diagrams and OLTP and OLAP System Study and Analysis.
• Develop batch processing solutions by using Data Factory and Azure Data bricks. Highly skilled in using visualization tools like Power BI, Tableau, matplotlib, Tibco Spotfire, ggplot2 for creating dashboards.
• Strong SQL Server programming skills, with experience in working with Functions, packages, and triggers.