Rama Banala Email & Phone Number | Experienced Software Professional in delivering large scale Application development, Analytics projects including Data warehouse, Data Lake, Big Data over on-premise and multi-cloud data architecture platforms. Experienced in all aspects of software development life cycle including Analysis, Design, Development, Deployment, Modeling, Testing, Supporting significant Enterprise Data Analytics, Machine Learning (ML) projects in Waterfall as well as SCRUM/ Agile methodologies. GCP: Cloud Storage, Cloud Fusion, Data flow, Dataproc, Big Query, Cloud Workflow. Cloud Composer AWS: S3, EMR, EC2, Redshift, Lambda, Athena, Glue Azure : Azure Data Lake, Azure Data Factory, Azure Databricks, Azure DevOps, Azure SQL Analytics, Azure Synapse, Azure Service Bus, Azure Logic Apps, Azure Machine Learning Big Data : Hadoop, Hdfs, Hive, Pig, Sqoop, HBase, Oozie, Spark, Scala, Java, Python, Pyspark, Kafka, Flume Data Science & Machine Learning : SparkML,R Studio ETL/BI/Data Integration/Warehousing : Datastage, Talend, Informatica, Infosphere CDC, Tableau Databases : Teradata, DB2, Oracle, SQL server, MySQL, HBase, Cassandra, MongoDB

Rama Banala

Experienced Software Professional in delivering large scale Application development, Analytics proje...
Irving, Texas, United States

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Rama Banala’s Location Irving, Texas, United States

Rama Banala’s Current Industry Verizon

Rama Banala’s Prior Industry Target | Ibm | Magnaquest Technologies

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AI/ML Engineer | Data Engineer | Cloud Solutions Architect

2016-07-01 00:00:00 - Present

Data Engineer | ML Engineer

2013-10-01 00:00:00 - 2016-03-01 00:00:00

Java Developer | Spark Developer

2012-05-01 00:00:00 - 2013-08-01 00:00:00

Java Developer

2010-10-01 00:00:00 - 2012-05-01 00:00:00

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Rama Banala is a Experienced Software Professional in delivering large scale Application development, Analytics projects including Data warehouse, Data Lake, Big Data over on-premise and multi-cloud data architecture platforms. Experienced in all aspects of software development life cycle including Analysis, Design, Development, Deployment, Modeling, Testing, Supporting significant Enterprise Data Analytics, Machine Learning (ML) projects in Waterfall as well as SCRUM/ Agile methodologies. GCP: Cloud Storage, Cloud Fusion, Data flow, Dataproc, Big Query, Cloud Workflow. Cloud Composer AWS: S3, EMR, EC2, Redshift, Lambda, Athena, Glue Azure : Azure Data Lake, Azure Data Factory, Azure Databricks, Azure DevOps, Azure SQL Analytics, Azure Synapse, Azure Service Bus, Azure Logic Apps, Azure Machine Learning Big Data : Hadoop, Hdfs, Hive, Pig, Sqoop, HBase, Oozie, Spark, Scala, Java, Python, Pyspark, Kafka, Flume Data Science & Machine Learning : SparkML,R Studio ETL/BI/Data Integration/Warehousing : Datastage, Talend, Informatica, Infosphere CDC, Tableau Databases : Teradata, DB2, Oracle, SQL server, MySQL, HBase, Cassandra, MongoDB