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Staff Software Engineer Resume

Atlanta, GA

SUMMARY

  • I am an experienced Cloud, Big Data and Analytics Architect with technical and leadership skills to assemble, mentor and lead IT professionals to deliver on data and analytics solutions on time and on budgets, to provide clarity and insights into structured, semi - structured and unstructured data.
  • I have in-depth experience in Data analytics and visualization using MS BI Stack, Big Data, Microsoft Azure and Google Cloud blob storages, Data factory/pipelines, Data Lakes and the Hadoop ecosystem.
  • I also architect, develop, deploy & manage ETL, MDM, ODS, Data Mart & EDW into actionable Business Intelligence for making sound financial, strategic and operational business decisions.
  • I have proven track records of technical management, problem solving, self-motivation, responsibility, reliability, a team player with a set of very strong technical/management skills.
  • I successfully managed corporate IT infrastructures and Cloud technology including SaaS, IaaS, PaaS, and AaaS.

TECHNICAL SKILLS

  • Cloud/Big Data - Hadoop, Google Cloud and Azure big Data Solutions, Data Lake, PaaS, IaaS, AaaS
  • Agile - Scrum & XP using Jira & Pivotal, Pair programming, Full stack, & DevOps
  • ETL, EDW, OLAP Cube & Tabular Models, dashboards/scorecards, and ad-hoc analysis
  • Enterprise Data Warehouse Architect - Microsoft BI Stack, SSIS/SSAS/SSRS & Power BI
  • MS SQL Server Analytics stack (T-SQL/MDX/DAX/XMLA/C#) - 2008 R2, 2012, 2014, 2016
  • MCSD - Microsoft Certified Solutions Developer/Big Data and Analytics Solutions
  • CPP - Certified Process Practitioner in Customer Expectation Management (CEM)
  • Others - ITIL (IT Infrastructure Library), TFS, SVN, Jenkins, Github, etc

PROFESSIONAL EXPERIENCE

Confidential, Atlanta, GA

Staff Software Engineer

Responsibilities:

  • Google Cloud Platform - Built an Atscale virtual cube on GCE, source data in Hadoop and BigQuery.
  • Google Cloud Platform - Built an SSAS/MDX cube on GCE IAAS and source data in Bigquery
  • Cloud data migration - Teradata EDW to Hadoop (Horton Works) Hive tables to GCS to BigQuery
  • Big Data/Hadoop - JSON, HiveQL, Sqoop, SparkSQL, Python, PySpark, U-SQL/Azure data lake
  • Built Microsoft Azure POC - SSAS/SSIS/MDX on Azure IAAS & Azure Analysis Services/Power BI
  • MS Data Management/Analytics - Microsoft Cloud data services, Azure SQL DB, Azure SQL DWH
  • Provides leadership and management to THD’s flagship MSBI Analytics - myDrill (SSAS/MDX cube).
  • THD Merchant Analytics Team Lead - 6#120 Cores 2TB RAM, MS SQL 2012, T-SQL, C#, MDX, SSIS & 8.7 TB SSAS OLAP Cube with 700 TB Teradata EDW source, Excel & Tableau clients.
  • Complex Cube Processing Strategy - Daily, Weekly, Monthly, Quarterly and Yearly & C#/SSIS/AMO.

Confidential, Atlanta, GA

Senior Consultant

Responsibilities:

  • BI Architect/Accounts Lead for Confidential Analytics and BI Solutions (ABI)
  • SQL 2012/2016, SSIS/C#/MDX/DAX, SSAS Multidimensional & Tabular, Power BI & SharePoint.
  • Analytics Performance Tuning for Processing Time, Data Quality and Operational Improvements
  • SQL Server 2016 Adoption – Always Encrypted, Big Data/Polybase, MS Azure Cloud Extensibility

Confidential, Atlanta, GA

Senior Data Integrator

Responsibilities:

  • With Accenture evaluated BI and EDW tools – Informatica, Teradata, MS BI, IBM, Qlik, Tibco
  • Upgraded 2008 SSIS packages and SSAS cubes to MS SQL Server 2014 using VS 2013.
  • ETL/ELT – Build SSIS packages and SSAS cubes with BIDS/MS SQL Server 2008/2014 for analytics.
  • Architect/Developer patient/payer Analytics – SSIS, SSAS Cubes, SSRS and Tableau Reports

Confidential

Integration/Architect /BI Manager

Responsibilities:

  • Data Manager for Airline’s Data Warehouse (MS SQL Server 2008 R2) – T-SQL/SSIS/SSRS/SSAS.
  • Architect an ETL for data from SHARES reservation system into ODS/EDW on MS SQL Server 2008
  • Data Architect – Extract, Transform, and Load SHARES (reservation system) data to MSSQL 2008 R2.
  • Designed, developed and implemented ETL/EDW – SSIS/SSAS/SSRS to support Data and Analytics.

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