Yogesh Dang

Supply Chain Data Foundation Program project in which we migrated the data foundation to Microsoft Azure. I worked as Lead developer For Data Quality interfaces on Azure Cloud understanding the existing DataStage Jobs, analyzing the best-fitted components, creating and scheduled Data quality interfaces using Azure DataFactory, and converted teradata objects to Synapse DB object.

Development of optimized Spark based applications to generate insights from big data that is reported to the business by automation of ETL pipelines using Azure Data Factory for extracting data of various formats from source to azure data lake which are scalable and fault tolerant by creating dimension tables and views generation for warehousing the data post-cleansing and validating the source data.

Development of new reconciliation using Intellimatch and making new or modifing existing procedures on SQL, T-SQL for each reconciliation for Exchange/Broker and Intercompany ETD Reconciliations for multiple clients with FIS global.

RMS Data Ingestion, ETL. Resolving the problem ticket created on the major/repetitive issues which occur during RMS Production Support team working time and resolving or optimizing scripts that are running in production and impacting Service level agreement and creating batch scripting in unix and PL SQL which are later scheduled in Control M.