Kumar N Email & Phone Number

Atlanta, Georgia, United States

|Created robust and scalable ETL solutions by integrating extensive and diverse datasets from multiple platforms||AWS, comprising EC2, S3, CloudFront, DynamoDB, Lambda, Elastic File System, RDS, VPC, Direct Connect, Route53, CloudWatch, CloudTrail, CloudFormation, and IAM, facilitated the automation of operations||Experience on Migrating legacy data.

Chicago, Illinois, United States

|Executed ETL processes using Azure Data Factory, T-SQL, Spark SQL, U-SQL Azure Data Lake Analytics, and Azure Databricks for seamless data ingestion, transformation, and analysis across Azure services||Propose a dataset creation protocol for data mining and modeling, and suggest ways to enhance data quality,effectiveness, and reliability|| Stage the API.

Littleton, Colorado, United States

|Developed Python scripts to parse XML and JSON files and load the data into the AWS Snowflake DataWarehouse||Built ETL pipelines to extract data from HDFS and load it into AWS Data Warehouse, leveraging technologies such as Apache Spark and Scala||Designed and architected multiple data pipelines for end-to-end ETL and ELT processes, including data.

Minneapolis, MN HQ. United States

| Implemented solutions for ingesting data from different sources and processing the stored data using Big Data technologies like Hadoop, MapReduce frameworks, HBase, and Hive||Utilized Sqoop to efficiently transfer data between databases and HDFS, employed Flume to stream log data from servers|| Imported millions of structured data records from relational.

Hyderabad, Telangana, India

|Created SQL procedures, functions, triggers, and views to support OLTP and ETL applications||Utilized various SSIS control flow tasks and data transformations, such as data conversion, derived column, lookup, fuzzy lookup, conditional split, and aggregate transformations, as part of ETL processes.||Used Oracle Data Integrator ODI to develop processes for.