Built a data discovery platform for a large system integrator using Azure HDInsight components. Used Azure data factory and data catalog to ingest and maintain data sources. Created an end-to-end Azure cloud-based analytics dashboard for a federal government for showing. real-time updates for the various loan programs, market facilitation programs, and catastrophic relief funds.

Worked on AWS Elastic Beanstalk for fast deploying of various applications developed with Java, PHP, Node.js, Python, Ruby, and Docker on familiar servers such as Apache and IIS.With the help of IAM created roles, users, and groups and attached policies to provide minimum access to the resources. Worked on the databases of the Amazon RDS and carried out functionalities for creating instances as per the requirements.

Explained technical considerations at team meetings and delivered demo sessions on code, data model. architectures, and ETL transformations, including those with internal clients and other team members.Drafted SQL Queries for ETL and transformations based on dependency graphs for source tables using. Datameer. Created HIVE tables and worked on them using HiveQL.

Worked in developing and designing Microsoft Azure SQL Data Warehouses; and, developing and maintaining SQL Server Analysis Services (SSAS)/SSIS/SSRS.Administered/Set up new networks in Mainframes, identified and solve potential program/data problems ensuring resolutions.Developed programs and queries to run analytics for the compensation program.Worked to form a cloud-based big data engineering team to deliver platform automation and security.Built data workflows by using GCP, HBase, Big, Table, Big Query, AWS EMR, Spark, Spark SQL, Scala, and Python.

Worked in developing and designing Microsoft Azure SQL Data Warehouses; and, developing and maintaining SQL Server Analysis Services (SSAS)/SSIS/SSRS.Administered/Set up new networks in Mainframes, identified and solve potential program/data problems ensuring resolutions.Developed programs and queries to run analytics for the compensation program.Worked to form a cloud based big data engineering team to deliver platform automation and security.Built data workflows by using GCP, HBase, Big, Table, Big Query, AWS EMR, Spark, Spark SQL, Scala, and Python

Deploying, managing, and operating scalable, highly available, and fault tolerant systems on AWSFrequently switched between positions as Cold Food prep, Dessert Station and Relief Chef mid shift to support changing needs of the kitchen, developed popular daily specials with personally sourced ingredients for broiler and saute stations.Application Server - IBM WebSphere Application Server Network Deployment, WebSphere Commerce, WebSphere Portal (WWCM / RCI), Apache Tomcat, JBoss