Sivajyothi Pedapenki Email & Phone Number | A passionate and experienced big data engineer , Having total 10 years of experience which includes 6 years of experience on Bigdata Developer and rest 4 Years experience as Informatica ETL Developer. Skills : Azure, Hadoop, Spark , Hive, Mapreduce , pig , ooziee, sqoop , Python, Informatica , SqlServer, PowerBI Roles and Responsibilities: Currently working on telecom domain. Worked as a solution designer for complex capability for an year at client location , Melbourne , Australia. Worked as a senior bigdata developer , being part of ingestion , transformations and consumption. Worked as Informatica ETL developer. Description : As a solution designer , built solution for a complex logic which includes complex calculations. Was part of data analysis , elaboration , requirement gathering, data modeling and solution design. Built design for providing loyalty credit/accrual to customers Built a 10 level customer hierarchy to simplify the calculation logic. As a senior developer , played major role in team in implementing the solutions for all the layer of data such as ingestion, integration and consumption. Migrated data from Cloudera to Azure datalake. Created pipelines for existing jobs which were running on airflow in cloudera and playing major role in placing the data in azure databricks. Migrated data from multiple source systems such as Teradata, SQL Server and Oracle to Hadoop distributed file system for data analysis. Written mappings and transformations in in sql. Written PySpark Jobs to accommodate the SQL and data to get loaded into the final table. Also Written PyTest cases to check the functionality of code .and made sure code coverage is 90%

Sivajyothi Pedapenki

A passionate and experienced big data engineer , Having total 10 years of experience which includes...
Hyderabad, Hyderabad, India

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Sivajyothi Pedapenki’s Email sivajyothi_pedapenki@infosys.com

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Sivajyothi Pedapenki’s Location Hyderabad, Hyderabad, India

Sivajyothi Pedapenki’s Current Industry Pepsico

Sivajyothi Pedapenki’s Prior Industry Accenture | Infosys | Sonata Software

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Work Experience

Pepsico

Technical Architect

2023-02-01T00:00:00.000Z - Present

Accenture

Application Development Team Lead

2021-06-01T00:00:00.000Z - 2023-02-01T00:00:00.000Z

Infosys

Technology Lead

2015-04-01T00:00:00.000Z - 2021-06-01T00:00:00.000Z

Sonata Software

System Anylyst

2010-05-01T00:00:00.000Z - 2015-04-01T00:00:00.000Z

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FAQ About Sivajyothi Pedapenki

Sivajyothi Pedapenki is located at
Hyderabad, Hyderabad, India

Sivajyothi Pedapenki is a A passionate and experienced big data engineer , Having total 10 years of experience which includes 6 years of experience on Bigdata Developer and rest 4 Years experience as Informatica ETL Developer. Skills : Azure, Hadoop, Spark , Hive, Mapreduce , pig , ooziee, sqoop , Python, Informatica , SqlServer, PowerBI Roles and Responsibilities: Currently working on telecom domain. Worked as a solution designer for complex capability for an year at client location , Melbourne , Australia. Worked as a senior bigdata developer , being part of ingestion , transformations and consumption. Worked as Informatica ETL developer. Description : As a solution designer , built solution for a complex logic which includes complex calculations. Was part of data analysis , elaboration , requirement gathering, data modeling and solution design. Built design for providing loyalty credit/accrual to customers Built a 10 level customer hierarchy to simplify the calculation logic. As a senior developer , played major role in team in implementing the solutions for all the layer of data such as ingestion, integration and consumption. Migrated data from Cloudera to Azure datalake. Created pipelines for existing jobs which were running on airflow in cloudera and playing major role in placing the data in azure databricks. Migrated data from multiple source systems such as Teradata, SQL Server and Oracle to Hadoop distributed file system for data analysis. Written mappings and transformations in in sql. Written PySpark Jobs to accommodate the SQL and data to get loaded into the final table. Also Written PyTest cases to check the functionality of code .and made sure code coverage is 90%