Talent's Information
-
Location
Bengaluru, India
-
Rate
$8.0 per Hour
-
Experience
3.4 Year
-
Languages Known
English,Hindi
Available for
About Vignesh
Seeking a full-time role where I can grow professionally and showcase my talents. Career which demands the best of my skills in terms of technical and analytical knowledge along with organization objectives. Ability to keep up with software development trends and innovation.
Tech Stack Expertise
-
Repository Tools
Git
2 Years -
Azure
Azure Databricks
2 Years
Work Experience
Azure Developer
- January 2019 - January 2023 - 4 Year
- India
Projects
Live Nation, Domain-Retail
- November 2021 - November 2022 - 13 Months
-
Conversion of Legacy Sap-Bods, Saas - Teradata jobs into Py spark /SQL script.
Identifying the required artifacts such as mapping, DDL and stage logic in legacy system
Converting the existing logic into spark-SQL compatible code along with DDL and other artifacts
Baseline the source and target considering the dependency as part of load preparation
Run loads and do data validation on cell level to ensure foolproof conversion
Git check in and merge request onto develop branch
Run SIT loads and provide signoff attaching the validation results
Bank Of America, Domain-Banking
- August 2019 - October 2021 - 27 Months
-
Conversion of Legacy DataStage/Teradata ETL scripts to spark SQL.
Various methodological approaches were developed and tested to load and process the data for CDC
into Hive table and the most optimal approach of Load ready dataset transfer was chosen.
Conversion of existing Bteq scripts into Py spark script for CDC capture.
Loading the CDC captured values into Hive Tables
Performing various level of testing under SIT and UAT Performance monitoring and debugging during production failure
Impetus Technologies
- November 2021 - November 2022 - 13 Months
Client - Live Nation, Domain-Retail
Conversion of Legacy Sap-Bods, Saas - Teradata jobs into Py spark /SQL script
Identifying the required artifacts such as mapping, DDL and stage logic in legacy system
Converting the existing logic into spark-SQL compatible code along with DDL and other artifacts
Baseline the source and target considering the dependency as part of load preparation
Run loads and do data validation on cell level to ensure foolproof conversion
Git check in and merge request onto develop branch
Run SIT loads and provide signoff attaching the validation results
Tata Consultancy Services Bangalore
- August 2019 - October 2021 - 27 Months
Client: Bank of America, Domain-Banking
Various methodological approaches were developed and tested to load and process the data
for CDC into Hive table and the most optimal approach of Load ready dataset transfer was chosen.
Conversion of existing Bteq scripts into Py spark script for CDC capture.
Loading the CDC captured values into Hive Tables
Performing various level of testing under SIT and UAT Performance monitoring and debugging during production failure.
Soft Skills
Industry Expertise
Education
Mechanical Engineering in B.E
Bengalure University- June 2016 - June 2019
