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Bengaluru
Sai Teja Manchi

Sai Teja Manchi

Data Engineer | Pyspark ,SQL, Python, Hive

Engineering / Architecture

Bengaluru, Bengaluru Urban

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About Sai Teja Manchi:

 4 years of Total IT experience includes requirements gathering, data analysis, design, development, testing various modules, deployments, and documentation.  Hands-on experience in Big Data Solutions using Hadoop, HDFS, Spark, Hive, Impala, Python, Sqoop.  Excellent knowledge on Hadoop architecture, Map Reduce programming paradigm, Spark Architecture including Spark Core, Spark SQL and monitoring systems.  Good Understanding of GCP Services like GCS, Big Query, Dataproc, Composer etc.  Experienced in working with structured data using Hive QL, Hive UDFs, partitions, bucketing, ACID tables.  Experience in utilizing Spark for ETL, involving the ingestion of diverse data sources, performing data transformations, and loading the processed data into target systems.  Good understanding and experience with Software Development methodologies like Agile, Waterfall and Testing.  Good Knowledge on Extraction, Transformation, Loading (ETL and ELT) data from various sources into Data Warehouses and Data lakes with industry best practices.  Hands on experience in building wrapper shell scripts (UNIX) and analysis shell commands in practice.  Good at SQL, data analysis, unit testing, debugging data quality and performance issues.

Experience

 4 years of Total IT experience includes requirements gathering, data analysis, design, development, testing various modules, deployments, and documentation.  Hands-on experience in Big Data Solutions using Hadoop, HDFS, Spark, Hive, Impala, Python, Sqoop.  Excellent knowledge on Hadoop architecture, Map Reduce programming paradigm, Spark Architecture including Spark Core, Spark SQL and monitoring systems.  Good Understanding of GCP Services like GCS, Big Query, Dataproc, Composer etc.  Experienced in working with structured data using Hive QL, Hive UDFs, partitions, bucketing, ACID tables.  Experience in utilizing Spark for ETL, involving the ingestion of diverse data sources, performing data transformations, and loading the processed data into target systems.  Good understanding and experience with Software Development methodologies like Agile, Waterfall and Testing.  Good Knowledge on Extraction, Transformation, Loading (ETL and ELT) data from various sources into Data Warehouses and Data lakes with industry best practices.  Hands on experience in building wrapper shell scripts (UNIX) and analysis shell commands in practice.  Good at SQL, data analysis, unit testing, debugging data quality and performance issues.

Education

B.Tech in Computer Science and Engineering

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