Sai Sandeep Email & Phone Number | I am a self-driven individual having 5+ years of hands-on experience as a Data Engineer in the development of technology, application and infra across multiple domains like Finance, Healthcare and Insurance using Big Data EcoSystem. I actively seek out new technologies and stay up-to-date on news and technical events. Strong information technology professional with a Bachelor’s Degree focused in Computer Science from Jawaharlal Nehru Technological University. Good understanding of Big Data EcoSystem - Spark, MapReduce, Hive, Sqoop, Cassandra, Kafka, Scala, Java, PySpark, Data Warehousing and Data Analytics Good understanding of discrete data sources and experience in Data Preprocessing, Integration, Ingestion, Transformation, Orchestration, Data Management tools/practices and Data modeling TECHNICAL SKILLS - Hadoop, Spark, PySpark, Hive, Kafka, NoSQL - Java, Scala, SQL, Teradata, , Apache NIFI, Sqoop, SpringBoot - CI/CD - Jenkins, GIT, Maven, JIRA, RALLY, Splunk ,Alluxio, Airflow, Unix, Graphana, Collibra - Eclipse, HortonWorks, WinSCP, Linux, IntelliJ, Zookeeper, Docker, Tomcat, Chronos, Qubole , GitHub Experienced in writing optimized code in Hive, Spark with Scala and Java - in designing and developing DataMart/DataLake as a self-service platform & development for Metadata Management, Ingestion and Compute framework and assisting with the business usecase and eliciting requirements - in working with different services like Lamda, S3, Redshift, ECS, EC2, EMR, Athena, SNS, Glue, RDS of AWS Cloud Platform - in working with virtual File System Alluxio - in design and development of CI/CD pipelines using Jenkins, GIT and handling Airflow by creating DAGs and deploying the same

Sai Sandeep

I am a self-driven individual having 5+ years of hands-on experience as a Data Engineer in the devel...
India

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Sai Sandeep’s Email sai.sandeep@chase.com

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Sai Sandeep’s Location India

Sai Sandeep’s Current Industry Jpmorgan Chase

Sai Sandeep’s Prior Industry Lti Larsen And Toubro Infotech | Capgemini | Virtusa

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Work Experience

Chase

Associate

Present

Jpmorgan Chase

Associate

2021-11-01 00:00:00 - Present

Lti Larsen And Toubro Infotech

Senior Data Engineer

2021-03-01 00:00:00 - 2021-11-01 00:00:00

Capgemini

Data Engineer

2019-01-01 00:00:00 - 2021-03-01 00:00:00

Virtusa

Big Data Developer

2016-06-01 00:00:00 - 2018-12-01 00:00:00

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FAQ About Sai Sandeep

Sai Sandeep is located at
India

Sai Sandeep is a I am a self-driven individual having 5+ years of hands-on experience as a Data Engineer in the development of technology, application and infra across multiple domains like Finance, Healthcare and Insurance using Big Data EcoSystem. I actively seek out new technologies and stay up-to-date on news and technical events. Strong information technology professional with a Bachelor’s Degree focused in Computer Science from Jawaharlal Nehru Technological University. Good understanding of Big Data EcoSystem - Spark, MapReduce, Hive, Sqoop, Cassandra, Kafka, Scala, Java, PySpark, Data Warehousing and Data Analytics Good understanding of discrete data sources and experience in Data Preprocessing, Integration, Ingestion, Transformation, Orchestration, Data Management tools/practices and Data modeling TECHNICAL SKILLS - Hadoop, Spark, PySpark, Hive, Kafka, NoSQL - Java, Scala, SQL, Teradata, , Apache NIFI, Sqoop, SpringBoot - CI/CD - Jenkins, GIT, Maven, JIRA, RALLY, Splunk ,Alluxio, Airflow, Unix, Graphana, Collibra - Eclipse, HortonWorks, WinSCP, Linux, IntelliJ, Zookeeper, Docker, Tomcat, Chronos, Qubole , GitHub Experienced in writing optimized code in Hive, Spark with Scala and Java - in designing and developing DataMart/DataLake as a self-service platform & development for Metadata Management, Ingestion and Compute framework and assisting with the business usecase and eliciting requirements - in working with different services like Lamda, S3, Redshift, ECS, EC2, EMR, Athena, SNS, Glue, RDS of AWS Cloud Platform - in working with virtual File System Alluxio - in design and development of CI/CD pipelines using Jenkins, GIT and handling Airflow by creating DAGs and deploying the same