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
 

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.