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Big Data Architect Resume

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SUMMARY

  • 12+ years of work experience in Data Engineering, Data Visualization and Data Warehousing using cutting edge Microsoft technologies.
  • 2+ years data engineering experience using Big Data technologies such as Cosmos, Kusto (Azure Data Explorer), Azure Data Factory(v2) technologies.
  • 2+ years data visualization experiences using SSRS and Power BI.
  • 4+ years of experience in Data Warehousing and ETL using MSBI Stack (SSIS, SSRS, SSAS).
  • 3+ years of experience in Web Application Development using ASP.NET and C#.
  • Experience in supporting Microsoft Azure systems including SQL Server hosted on Azure Virtual Machine (IaaS) and Azure SQL Databases (DBaaS).
  • Experience in Azure system configuration, database migrations, backup and recovery, Load balancing, performance monitoring and tuning and disaster recovery configuration and execution.
  • Exposure in overall SDLC including requirement gathering, development, testing, debugging, deployment, documentation and production support.
  • Experience in preparing ETL design documentations, user test case documentation and standard operating procedures (SOP) documentation.
  • Experience of working on onsite - offshore model.
  • Highly motivated to take independent responsibility as well as ability to contribute and be a productive team member.

TECHNICAL SKILLS

ETL: SSIS, ADF v2

Analytics: SSAS(Tabular), Azure Analysis Services

Database: MS SQL Server 2008-2016, Oracle 10g, Azure SQL

Reporting: Power BI, SSRS, Excel, Crystal Report

Language: T-SQL, C# .Net, PowerShell, ASP.NET

Big Data: Cosmos, Kusto

Web: HTML, CSS

Source Control: VSTF, VSS

CI/CD: Azure DevOps

Data Modelling: MS Visio

PROFESSIONAL EXPERIENCE

Confidential

Big Data Architect

Technologies used: Cosmos, Azure Analysis Service, Azure SQL, Power BI, Azure Functions

Responsibilities:

  • Implement ETL process to move data from Cosmos to SQL Azure Database using SQLizer, Xflow, SQL Azure Database and Azure Analysis Services.
  • Automated Cube refresh using the Azure Functions
  • Conduct data exploration using Scope or iScope for problem understanding.

Confidential

Big Data Architect

Technologies used: Kusto, Power BI, SSAS

Responsibilities:

  • Getting data from Kusto to calculate the QoS(Availability, Reliability, Performance)
  • Moving the DB backups to Azure Blob with retention using PowerShell Script.
  • Worked on the AzSDK to reduce the security and vulnerability on the Subscription.
  • Created Power BI Disk Space reports for all the MSXI Servers.
  • Configured the Load Balancing for the Daily Recommender API in Azure.

Confidential

Big Data Architect

Technologies used: ADF, Cosmos, ADW, SQL Server, SSAS, PowerShell, Power BI

Responsibilities:

  • Created the Scope script to pull the data from various sources and scheduled it using PowerShell with meta data approach.
  • Created the ADF pipeline to push the data from staging to Azure SQL Datawarehouse and Tabular Cube.

Confidential

Big Data Architect

Technologies used: SSIS, SSRS, Excel, SQL Server

Responsibilities:

  • Creating the SSIS Package to pull the data from various source using the Meta Data Driven framework.
  • Creating the SSRS/Excel Report and publishing it to Production Environment.

Confidential

Big Data Architect

Technologies used: ASP.NET, C#.NET, Oracle 10g, Crystal Report

Responsibilities:

  • Developed Order approval modules for the orders using ASP.NET and C#.
  • Created stored procedures, Functions, Triggers in Oracle.
  • Developed the various reports using crystal report.

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