Ram Kumar Email & Phone Number

• 15 + years of experience as Big Data Engineer, Data Architect, Data Engineer, and Data Analyst including designing, developing and implementation of data models for enterprise - level applications and systems.• Experience on Migrating SQL database to Azure data Lake, Azure data lake Analytics, Azure SQL Database, Data Bricks and Azure SQL Data warehouse.• Hands-on experience with Amazon EC2, Amazon S3, Amazon RDS, VPC, IAM, Amazon Elastic Load Balancing, Auto Scaling, CloudWatch, SNS, SES, SQS, Lambda, EMR and other services of the AWS family.• Created and configured new batch job in Denodo scheduler with email notification capabilities and• Implemented Cluster setting for multiple Denodo node and created load balance for improving performance activity.• Instantiated, created, and maintained CI/CD (continuous integration & deployment) pipelines and apply automation to environments and applications. Worked on various automation tools like GIT, Terraform, Ansible. Involved in Extracting Transforming and Loading data from Sources Systems to Azure Data Storage services using a combination of Azure Data Factory, T-SQL, Spark SQL, and U-SQL Azure Data Lake Analytics Data Ingestion to Azure Services - (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks.• Troubleshooting network connectivity issue using Powershell scripts.\ Develop and maintain data pipelines using Azure Data Factory, Azure Data Lake Gen2, Blob Storage, Azure Databricks & Azure Synapse Analytics to integrate and process data from various sources.• Participated in the development of data ingestion pipelines on Azure Databricks, Azure Data Factory and Spark SQL are used to create a Spark cluster.• Building and productionizing predictive models on large datasets by utilizing advanced statistical.• Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling that were used to deepen relationships, strengthen longevity and personalize interactions with customers.• Strong experience of leading multiple Azure Big Data and Data transformation implementations in Banking and Financial Services, and Healthcare industries. Hands on experience in Hadoop ecosystem including Spark, Kafka, HBase, Scala, Pig, Impala, Sqoop, Oozie, Flume, Storm, big data technologies and experienced in developing custom UDFs for Pig and Hive to incorporate methods and functionality of Python/Scala, Java into Pig Latin and HQL (HiveQL)

• 

  Gannon University

  Computer Science