Highly qualified Data Engineer with experience in problem solving and exposure on multiple projects. Seeking for a qualified position in an organization where I can apply my skills and knowledge efficiently for personal and organizational growth.
*Having 4 years of experience in Business Intelligence applications design, development and maintenance of production support.
*Hands on experience in Azure Data Factory, Azure Devops, Azure Logic Apps, Visual Studio and basics in Power BI.
*Trained for 3 months in SSIS and SSRS at initial stage of my career.
*Training experience has provided me projects related to SSIS, Azure Data Factory and Power BI.
*Overall experience in SDLC life cycle - requirement gathering, analysis, estimation, design , development and implementation of a project.
*Working Experience in integrate, transform and consolidate data from various structured and unstructured data systems into common data analytics solution like Data warehouse.
*Technical expertise in all the components that are used in Azure Data Factory such as Linked Services, Datasets, Triggers, pipelines and Integration Runtime.
*Excellent experience in automation of dynamically loading data using lookup, foreach, stored procedure, metadata and copy data activities in adf.
*Experience in querying joins in sql.
Developed implementation of incremental data load and Full data load in ADF.
*Having experience in adding members to Azure active directory groups.
*Practical experience in Azure Logic App to return success or failure alerts from ADF pipelines.
*Perform data operations activities including automation of data pipeline and monitoring, raising/resolving technical incidents across the team and with other departments.
*Produce ETL design guidelines to ensure a manageable ETL infrastructure for the BI system.
*Implemented deployments from testing area to production using Devops and merging branches between one data factory to another Data Factory using Visual Studio.
*Exposed to working with various issue severities, engaging specialized teams, close deadlines.
*Document the development implemented in a step by step process.
Collaborated with team members to achieve target results.
*Communicated with source teams regarding the data arrival and the data discrepancies from their end.
Azure Data Factory
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