Rashika Shreshtha

Developed Azure Data Factory pipelines for multiple data sources, including On-Prem SQL Server, PostgreSQL, Online SharePoint, and Flat Files. Performed truncate load, delete insert operations for 150+ tables. Loaded source data into ADLS Gen2 in Parquet format. Utilized Databricks for transformation, loading data into staging tables, and invoking stored procedures for target table movement. Implemented optimization best practices, error tracking, count log mechanism, and Logic App for pipeline failure logging. Also developed pipelines for flat files, performing cleansing and transformation with Databricks, and creating stored procedures and views for Tableau reporting.

Worked on INFOMAN® eCRM, covering manual cross-browser compatibility testing and performing regular database updations. Conducted functional flow testing for Pre-Sale, Insurance, and Service Modules. Created documentation for new requirements and modifications, provided technical support to junior staff and clients, and performed data validation for all tables.