Rajeshkumar Sahu Email & Phone Number | • Over 13+ Years of extensive IT experience and technical proficiency in building large scale DWH/Data Analytics, using Kubernetes/docker with spark, Hadoop BigData, and ETL tools like Talend, Informatica, DataStage • 2+ years of experience working with Kubernetes & dockers using spark and minio as on-prem storage. • 4 years of comprehensive experience as a BigData engineer using various Hadoop ecosystem components such as hive, sqoop, Oozie, Spark, kafka etc. • Very good understanding of HDFS architecture and its components. • Experience in implementing Spark solutions using Python/Scala to read/write complex data from various sources like AWS, RDBMS, API. Snowflake etc. • Experience working with Databricks notebook to develop spark solution using (scala/python) to read/write to AWS/Minio platforms. • Developed frameworks to read real time events data from Splunk and kafka and load it into HDFS/Minio. • Experience in importing and exporting data using Sqoop from HDFS to RDMBS systems like Oracle, Sql server etc and vice versa. • Experience in setting up best practices and developer standards for using the existing tool stack to maintain the discipline across • Has very strong historical background working with ETL tools like Informatica PowerCenter, DataStage, Talend etc with databases like Oracle, SQL Server, DB2. • Strong experience in writing Unix shell scripts, Python scripts, automating ETL/bigdata jobs, error handling, and auditing mechanisms. • Have good hands on experience working with scheduling tools like Autosys, Atomic UC4 and cron schedular. • Have good understanding of Data and Dimensional modeling, normalization, E-R diagrams, Logical, Physical design, Star and Snowflake Schemas using Kimball and Inmon DW methodologies. • Excellent Communication skills, Leadership skills Team spirit, quick learnings

Rajeshkumar Sahu

• Over 13+ Years of extensive IT experience and technical proficiency in building large scale DWH/Da...
Mt. Laurel, New Jersey, United States

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Rajeshkumar Sahu’s Email rsahu@comcast.com

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Rajeshkumar Sahu’s Location Mt. Laurel, New Jersey, United States

Rajeshkumar Sahu’s Current Industry Comcast

Rajeshkumar Sahu’s Prior Industry Tata Consultancy Services | Ibm | Capgemini Consulting

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Work Experience

Comcast

Sr Data Engineer

2021-05-01 00:00:00 - Present

Tata Consultancy Services

Assistant Consultant

2011-09-01 00:00:00 - 2021-05-01 00:00:00

Ibm

Data Specialist

2010-11-01 00:00:00 - 2011-09-01 00:00:00

Capgemini Consulting

Consultant

2008-06-01 00:00:00 - 2010-11-01 00:00:00

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FAQ About Rajeshkumar Sahu

Rajeshkumar Sahu is located at
Mt. Laurel, New Jersey, United States

Rajeshkumar Sahu is a • Over 13+ Years of extensive IT experience and technical proficiency in building large scale DWH/Data Analytics, using Kubernetes/docker with spark, Hadoop BigData, and ETL tools like Talend, Informatica, DataStage • 2+ years of experience working with Kubernetes & dockers using spark and minio as on-prem storage. • 4 years of comprehensive experience as a BigData engineer using various Hadoop ecosystem components such as hive, sqoop, Oozie, Spark, kafka etc. • Very good understanding of HDFS architecture and its components. • Experience in implementing Spark solutions using Python/Scala to read/write complex data from various sources like AWS, RDBMS, API. Snowflake etc. • Experience working with Databricks notebook to develop spark solution using (scala/python) to read/write to AWS/Minio platforms. • Developed frameworks to read real time events data from Splunk and kafka and load it into HDFS/Minio. • Experience in importing and exporting data using Sqoop from HDFS to RDMBS systems like Oracle, Sql server etc and vice versa. • Experience in setting up best practices and developer standards for using the existing tool stack to maintain the discipline across • Has very strong historical background working with ETL tools like Informatica PowerCenter, DataStage, Talend etc with databases like Oracle, SQL Server, DB2. • Strong experience in writing Unix shell scripts, Python scripts, automating ETL/bigdata jobs, error handling, and auditing mechanisms. • Have good hands on experience working with scheduling tools like Autosys, Atomic UC4 and cron schedular. • Have good understanding of Data and Dimensional modeling, normalization, E-R diagrams, Logical, Physical design, Star and Snowflake Schemas using Kimball and Inmon DW methodologies. • Excellent Communication skills, Leadership skills Team spirit, quick learnings