Jay Akhawri Email & Phone Number | • Result driven data access, integration and cloud enablement leader with 11 plus years of experience in developing and delivering enterprise data driven solutions. • Solid experience in leading and delivering data access, data migration (ETL/ELT) on premise and cloud solutions with state of the art data quality, DevOps and agile practices. • Solid experience in building, planning, leading and managing team, partnering with businesses, evaluating RFPs, reference architecture/POC development, hiring and mentoring juniors and in developing process and practices for large scale data driven project delivery. • Recent experience in leading Modern data platform development through data pipeline and data DevOps solution and practices for agile delivery. • Hands on Experience in architecture and implementation of complex data transformation solutions with scalable architecture. • Experience in designing, implementing and operationalizing machine learning solutions with Azure ML and C# WebAPIs. Key Skills • Data pipeline design for large scale data migration (cloud and on-premise) • Design and implementation of Multi-cloud data migration (Azure, IBM and Salesforce) solutions • Enterprise Data migration strategy, Delivery and data release planning, effort estimation, Data Quality checks, pre and post migration validations • Data governance and Data Quality process design & implementation • Agile delivery via Data DevOps toolset and process design • Data Integration – SSIS, Azure Data Factory • Data visualization – Power Pivot and Power BI • Custom data DevOps automation (C#, Powershell) • REST API integration with SSIS and C# • Native and .NET data access technologies – ODBC, ADO.NET, Entity Framework • Azure ML – Multiple regression, Recommender systems, Clustering (K-Mean) and Classification algorithms and Operationalization. • Azure data factory solution automation (SDDC).

Jay Akhawri

• Result driven data access, integration and cloud enablement leader with 11 plus years of experienc...
Bengaluru, Karnataka, India

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Jay Akhawri’s Email jay.akhawri@pwc.com

Jay Akhawri’s Phone Numbers +1 212-551-****

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Jay Akhawri’s Location Bengaluru, Karnataka, India

Jay Akhawri’s Current Industry Pricewaterhousecoopers Service Delivery Center

Jay Akhawri’s Prior Industry Microsoft

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Work Experience

Pwc

Manager

Present

Pricewaterhousecoopers Service Delivery Center

Manager

2020-07-01 00:00:00 - Present

Microsoft

Engineer - Sql Developer, Bi And Machine Learning Escalation Services

2012-12-01 00:00:00 - 2015-11-01 00:00:00

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No Skills Available

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FAQ About Jay Akhawri

Jay Akhawri is located at
Bengaluru, Karnataka, India

Jay Akhawri is a • Result driven data access, integration and cloud enablement leader with 11 plus years of experience in developing and delivering enterprise data driven solutions. • Solid experience in leading and delivering data access, data migration (ETL/ELT) on premise and cloud solutions with state of the art data quality, DevOps and agile practices. • Solid experience in building, planning, leading and managing team, partnering with businesses, evaluating RFPs, reference architecture/POC development, hiring and mentoring juniors and in developing process and practices for large scale data driven project delivery. • Recent experience in leading Modern data platform development through data pipeline and data DevOps solution and practices for agile delivery. • Hands on Experience in architecture and implementation of complex data transformation solutions with scalable architecture. • Experience in designing, implementing and operationalizing machine learning solutions with Azure ML and C# WebAPIs. Key Skills • Data pipeline design for large scale data migration (cloud and on-premise) • Design and implementation of Multi-cloud data migration (Azure, IBM and Salesforce) solutions • Enterprise Data migration strategy, Delivery and data release planning, effort estimation, Data Quality checks, pre and post migration validations • Data governance and Data Quality process design & implementation • Agile delivery via Data DevOps toolset and process design • Data Integration – SSIS, Azure Data Factory • Data visualization – Power Pivot and Power BI • Custom data DevOps automation (C#, Powershell) • REST API integration with SSIS and C# • Native and .NET data access technologies – ODBC, ADO.NET, Entity Framework • Azure ML – Multiple regression, Recommender systems, Clustering (K-Mean) and Classification algorithms and Operationalization. • Azure data factory solution automation (SDDC).