Sai Kishore Email & Phone Number | • Eight plus years of experience in Analysis, Design, Development and Implementation as a Data Engineer. • Strong experience in Software Development Life Cycle (SDLC) including Requirements Analysis, Design Specification and Testing as per Cycle in both Waterfall and Agile methodologies. • Experience in development and design of various scalable systems using Hadoop technologies in various environments. Extensive experience in analyzing data using Hadoop Ecosystems including HDFS, MapReduce, Hive & PIG. • Extensively used Python Libraries PySpark, Pytest, Pymongo, cxOracle, PyExcel, Boto3, Psycopg, embedPy, NumPy and Beautiful Soup. • Proficient in Statistical Methodologies including Hypothetical Testing, ANOVA, Time Series, Principal Component Analysis, Factor Analysis, Cluster Analysis, Discriminant Analysis. • Expertise in transforming business resources and requirements into manageable data formats and analytical models, designing algorithms, building models, developing data mining and reporting solutions that scale across a massive volume of structured and unstructured data. • Strong experience in writing scripts using Python API, PySpark API and Spark API for analyzing the data. • Working with AWS Cloud storage, Data-Proc, Data Flow, Big- Query, EMR, S3, Glacier and EC2 Instance with EMR cluster. • Experience in setting up monitoring infrastructure for Hadoop cluster using Nagios and Ganglia. • Sustaining the Big Query, PySpark and Hive code by fixing the bugs and providing the enhancements required by the Business User. • Well experience in Normalization and De-Normalization techniques for optimum performance in relational and dimensional database environments. • Extensively worked with Teradata utilities Fast export, and Multi Load to export and load data to/from different source systems including flat files.

Sai Kishore

• Eight plus years of experience in Analysis, Design, Development and Implementation as a Data Engin...
United States

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Sai Kishore’s Email skishore@agfirst.com

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Sai Kishore’s Location United States

Sai Kishore’s Current Industry Agfirst Farm Credit Bank

Sai Kishore’s Prior Industry State Of Ohio | Cisco | Mic | Syntel

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Work Experience

Agfirst Farm Credit Bank

Sr Big Data Engineer

2020-02-01 00:00:00 - Present

State Of Ohio

Senior Big Data Engineer

2018-06-01 00:00:00 - 2020-02-01 00:00:00

Cisco

Big Data Engineer

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

Mic

Data Engineer

2014-06-01 00:00:00 - 2016-08-01 00:00:00

Syntel

Hadoop Developer

2012-12-01 00:00:00 - 2014-05-01 00:00:00

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FAQ About Sai Kishore

Sai Kishore is located at
United States

Sai Kishore is a • Eight plus years of experience in Analysis, Design, Development and Implementation as a Data Engineer. • Strong experience in Software Development Life Cycle (SDLC) including Requirements Analysis, Design Specification and Testing as per Cycle in both Waterfall and Agile methodologies. • Experience in development and design of various scalable systems using Hadoop technologies in various environments. Extensive experience in analyzing data using Hadoop Ecosystems including HDFS, MapReduce, Hive & PIG. • Extensively used Python Libraries PySpark, Pytest, Pymongo, cxOracle, PyExcel, Boto3, Psycopg, embedPy, NumPy and Beautiful Soup. • Proficient in Statistical Methodologies including Hypothetical Testing, ANOVA, Time Series, Principal Component Analysis, Factor Analysis, Cluster Analysis, Discriminant Analysis. • Expertise in transforming business resources and requirements into manageable data formats and analytical models, designing algorithms, building models, developing data mining and reporting solutions that scale across a massive volume of structured and unstructured data. • Strong experience in writing scripts using Python API, PySpark API and Spark API for analyzing the data. • Working with AWS Cloud storage, Data-Proc, Data Flow, Big- Query, EMR, S3, Glacier and EC2 Instance with EMR cluster. • Experience in setting up monitoring infrastructure for Hadoop cluster using Nagios and Ganglia. • Sustaining the Big Query, PySpark and Hive code by fixing the bugs and providing the enhancements required by the Business User. • Well experience in Normalization and De-Normalization techniques for optimum performance in relational and dimensional database environments. • Extensively worked with Teradata utilities Fast export, and Multi Load to export and load data to/from different source systems including flat files.