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Big Data / Microsoft Azure Cloud Solutions Architect Resume

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SUMMARY

  • 16+ years of IT experience in Architecting, Modeling and Managing client(s) with deep expertize in technology across all phases of SDLC. Proven ability to manage, design, architect, lead and mentor teams across various domains and technologies
  • 10+ years of experience in managing projects/programs with >5M in size and leading teams through all phases of project lifecycle development, delivering analytics and BI solutions for the business users across enterprise
  • Partner with business teams, key project stakeholders to identify and prioritize projects and scope within projects (Resource planning, Budget, Forecast and Tracking) which helps measuring organization performance through KPIs, CTQs, Operational Metrics and Reporting
  • Experience in developing strategies and initiatives for data integration architecture at the enterprise level and defining Enterprise Architecture & Strategy for Big Data, Data Warehouse, Master/Reference Data and Data Integration.
  • Hands - on experience in creating the HealthCare, Retail and Financial Services Specific Data Models
  • Created several DWH and Data Mart from the ground up, created conceptual, logical and physical models along with processes and define enterprise standards and swim lanes
  • Modeled DataStax Cassandra data model for Customer 360, Personalization to enable users for faster access to the Restful API’s call and mobile apps
  • Hands-on experience in rewriting the code using Apache Spark on Cassandra to enhance and to simplify data ingestion process and to replace the existing load into HDFS (Pig, Map Reduce)
  • Hands-on experience in creating customized algorithms for Personalization, Recommendations, Market basket, Promotion effectiveness and insights into the data
  • Hands-on working experience on dealing with multiple file formats like JSON, AVRO, Parquet and leverage storm/spark/pig scripts to load into NoSQL DB’s like MongoDB, Cassandra
  • Experience in managing diverse team of associates across different locations, vendors, contractors and managed client resources, project management and delivery management responsibilities in different project management models (Waterfall & Agile) methodologies
  • 6+ years of hands-on experience in providing and working in various consulting engagements on process improvement, operational effectiveness, Process definition, architecture assessments (Current Vs. To-Be), POC’s and POV’s for Retail, Healthcare and Financial services
  • 6+ years of experience in defining vision, continuous improvements to the environment, Automation and process improvements by defining/raising the bar, manage deliver efficiencies and achieve Break-through goals (Operational Excellence)
  • 8+ years as an Enterprise and solution Architect, worked with different clients & domains helped me to gain extensive experience in design, development, delivery and operations of the Enterprise Data Warehouse and Big data environments
  • Architectural and In-depth knowledge of RDBMS and Columnar Databases like MS SQL, Azure SQL DB, Azure SQL DW and ADLS (Azure DataLake Store)

TECHNICAL SKILLS

Bigdata Ecosystem & Languages: HDFS, MapReduce, Spark, Pig, PL/SQL, Python, Scala

Data Modeling Tools: Erwin 3.5/4.0/7.1 and ER Studio 9.1.1

DWH (ETL & BI): Informatica, DataStage, BO, MicroStrategy, Tableau, PowerBI

Scheduling Tools: Autosys 4.5, Control-M, Oozie

Microsoft Tools: MS Project, Microsoft Office Suite, Share Point

RDBMS & NoSQL Databases: Oracle, SQL Server, Cassandra, MongoDB, Teradata, HBASE

DB & Admin Tools: Datastax OPS Center, Cloud Manager/OPS Manager

Other Tools: JiRA, Remedy, Confluence, MS Visio and MS Project

Distributions & Architecture: Cloudera, Lambda, AWS(trained), Azure

PROFESSIONAL EXPERIENCE

Confidential

Big Data / Microsoft Azure Cloud Solutions Architect

Environment: SSRS, SSAS, Informatica, PowerBI, MS Azure Cloud, Tableau

Responsibilities:

  • Validate assumptions, Roadmap definition, timelines and implement Solution Architecture
  • Work with client directors on the solution effectiveness, planning, SOW and agreed deliverables
  • Build new Power BI reports and leverage Microsoft Azure Cloud to publish and pin
  • Work with business users on the technology road map, create personas, RACI and lead the discussions on signoff

Confidential, Irving

Big Data / Cloud Architect & Program Manager

Environment: Hadoop, Java, API, Storm, Kafka, Cassandra, Couchbase, Solr, Tableau

Responsibilities:

  • Responsible for managing the Marketing systems and the entire BI team at a major fashion Confidential . As a BI Program manager and Architect, involved in identifying the technology stack, approach for solving the business problems by partnering with Users and IT teams
  • Responsible for driving and overseeing the overall project, managing risks, mitigation plan, frequent updates to the C level and business users, act as a liaison between IT team and stakeholders
  • Work with multiple vendors on the open environmental issues, address performance issues on the mobile apps by analyzing the environment (Mobile->Jetty->Kafka->HDFS->Storm->C*)
  • Hands-on development experience using Spark on Cassandra for loading the data into cluster
  • Executed proof-of-concept (POC) using Big data technologies in the lower environments
  • Work on overall architecture assessment on the technology stack, adaptability of the open source systems and define to-be state architecture and future Roadmap by consolidating or rationalizing the ecosystem
Sr. Technology Architect / Program Manager

Confidential

Environment: Datastage, Netezza, Microstrategy, Oracle and Big Data

Responsibilities:

  • Responsible for managing 40+ team size, including development, enhancement and support teams and managed the various projects
  • Steering ETL and Data architecture design and review processes, including planning and monitoring efforts, reviewing deliverables and communicating with stakeholders
  • Identify ways to optimize, standardize and rationalize activities across the enterprise, lowering cost, improving quality and value of data assets
  • Advocate on behalf of Enterprise Architecture group, to define process, implement technical data governance information architecture to IT, corporate and business executives as well as other key stakeholders

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