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Enterprise Data Architect Resume

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Laurel, NJ

SUMMARY

  • Versatile and quality - focused IT business professional a progressive career and increased management accountabilities in Enterprise Data Architecture.
  • Data Governance & Integration strategies in Big Data Analytics, OLTP, Data Lake & Cloud Computing, IOT and continuous improvements for industry-leading organizations.
  • Proven leadership in empowering business by accelerating high-impact Business Performance Solutions through Target State Roadmap and Performance Measurement solutions while establishing financial & quality results, and meeting tight deadlines.

TECHNICAL SKILLS

Databases & Data Warehousing: SQL Server, Azure SQL DW, Azure Synapse, Oracle, Exadata, Sybase

Cloud: Azure Stack, Azure Public Cloud, Databricks, ADLS Gen 2/Blob, AKS, Snowflake

Big Data Toolset: Cloudera CDH, Microsoft Cosmos DB, Hadoop, HIVE/HBase, SPARK, Impala

Data Governance: Informatica Data Catalogue, Azure Data Catalogue, Teland Data Catalogue, Azure Purview

MDM: IBM Infosphere, Informatica Multidomain MDM

Data Modeling: Sybase Power Designer, Erwin

Financial Industry Models: Expert in Teradata Financial Services Data Model (FSDM), Good understanding of FIBO

ETL Tools: Azure Data Factory, SQL SSIS, Teland, Informatica Power Center, IBM DataStage, SAP/BO, Sqoop

BI Reporting Suites: SAP Business Objects, Tableau, Microsoft Power BI, Cognos BI Suite

Machine Learning: Azure ML, Python

Data Streaming: Kafka, Microsoft Event Hub

DataOps: DevOps (Jenkins/Ansible), Containers & Kubernetes

Security: Azure Key Vault, Cyber Ark, Guardium Active Database Monitoring, Hashi corp, PCI, HIPAA, PHI

CRM: Salesforce, Microsoft Dynamics, Onlyx

ERP: Microsoft Dynamics

Monitoring: Azure Monitor, DataDog, SCOM, Patrol, Unicentre TNG & Argent

Project Management: Microsoft Project Plan, Team Foundation Server (TFS)

System Administration: Checkpoint Firewall, Azure Active Directory, Networking, DNS, IIS

PROFESSIONAL EXPERIENCE

Enterprise Data Architect

Confidential, Laurel, NJ

Responsibilities:

  • Developed state-of-the-art technology strategies and roadmaps to advance banking investment deliverables including, big data platform & cloud analytics solutions, Data-as-a-Service (Daas) platform, business intelligence, machine learning, and integration.
  • Client Data Strategy - Responsible for shaping and delivering Data and Analytics solutions in the Big Data Platform and Cloud.
  • Designed, built, and implemented several multimillion-dollar technology initiatives including, Enterprise Data Lake and Analytics on premis and cloud, MDM solution and Online Marketplace for Data Scientists and businesses to tag, profile and request Data Assets using a centralized Data as a Service (DaaS) platform and process.
  • Collaborate with Chief Data Office (OCDO) to develop and implement Data Governance strategies to Implement Data Governance programs and standards through technology and processes. Championed the implementation of Data Governance using appropriate communications to executive board and employees using trainings and support.
  • Evaluated and implemented Teradata Financial Services Data (FSDM) Model for the Bank. The Model is widely adopted across the bank’s Databases, Data Warehouses and API’s standardizing the Data Taxonomy and Ontology.
  • Architect and Modelled OLTP Databases, Data Marts and Data Warehouses with the capacity to deliver critical applications and Risk and regulatory requirements like Dodd Frank and support analytics and operational needs of Retail, Commercial & other Line-of-Businesses.
  • Develop strategic Big Data and Cloud Computing frameworks, patterns and capabilities for the ecosystem as well as technology assessments for strategic investments.
  • Strategy and roadmap for Metadata Management and Metadata-driven security in the Hadoop and Cloud Platforms.
  • Championing DataOps to develop & deploy Data Analytic Pipelines, with 'just in time' Data Availability.
  • Established reputation for leading several high-value technology transformations, projects, and advancements, in a highly complex environment with a budget of $80 Million / year.
  • Major Accomplishments
  • CLIENT Data Strategy & Modern Data Warehouse: Architect and implement a multi-year strategy with a capacity to deliver Big Data Lake and Modern Global Data Warehouse with an integrated Data Governance including Enterprise Data Catalogue, Data Lineage, Data Quality and Metadata driven security approach to support Analytics and Reporting needs of the bank. Modelled multiple Data Marts and Data Warehouses to deliver critical Risk & regulatory requirements like Dodd Frank & Basel apart from providing support to analytics and operational needs of Retail, Commercial and other Line-of-Businesses.
  • CLIENT Data-as-a-Service (DaaS) Platform: Architect and implement DaaS that is an extension of Data Governance process that includes and online marketplace complimenting the Big Data Lake environment by allowing tagging of metadata, profiling data and request new data for consumption using a standard process. Daas also provided opportunity for IT to create usage based billing model that charge lines of businesses based on their usage of Big Data Platform.
  • Enterprise Customer Risk Rating (ECRR): ECRR is a modern Big Data solution on Cloud that Ingest and Process Data from multiple lines of businesses through either real-time or batch processing and use Machine Learning models to generate a risk rating for the customer. This rating is used by lines of businesses to make informed decisions.
  • Customer 360: Restructured deficiencies in data duplication and accuracy due to information silos created by individual applications and line of businesses, by spearheading a major enterprise-wide Customer 360 Project that provides a holistic view of consumer trends across products, channels, and devices; relied on batch and real-time data streaming accessible to lines of businesses through Customer DataMart via real-time & batch integrations.

GROUP DATABASE MANAGER & ARCHITECT

Confidential, Travose, PA

Responsibilities:

  • Managed and supported 200 global SQL Server Databases, while paving the way for application & database architecture roadmap, dashboard reporting, standardized infrastructure, configuration changes, security compliance, and quality control.
  • Data Strategy - Develop and implement Data strategies and Database Management for the enterprise.
  • Planned and Implemented Metadata, Security and Data Quality solutions for the organization.
  • Wrote documents to define metadata standards and taxonomy, Data Security, Database naming, installation and monitoring standards and implemented the same across the organization.
  • Played a vital role in adopting Business Intelligence and Data Warehousing, while driving High Availability and Disaster Recovery procedures to support mission-critical data.
  • Consolidated database infrastructure, by creating database build-outs, programming standards, tools, backups, security, and monitoring.
  • Develop strategic partnerships with key business stakeholders to influence business and architecture.
  • Major Accomplishments
  • Magellan: Designed and implemented Distributed Database, Global Data Warehouse & Reporting for ‘Magellan’ project, one of the Top 5 CIO award-winning Applications in Asia Region to minimize operational technology costs and Transition Company to support corporate functions. This project integrated Call Center, Finance, CRM, and Provider Database in 26 International SOS offices. The Data is distributed on 30 Database Servers throughout the world and involved SQL Transaction and Merge Replication, complex ETL packages, and Analysis Reporting.
  • Tricare: Earned Best Performer award for Analysis, Contract Bidding support, Design & Implementation of Databases and Integration via Web Services and ETL for multimillion-dollar contracts with US Government Department of Health (Tricare), WPS, and other government agencies. This provided opportunities to secure multiple government contracts globally.
  • Salesforce: Collaborate with Enterprise Architecture to implement Salesforce and integrate with 14 critical applications and Data Warehouse. The implementation won Asia-Pacific award for the most effective user transition. Salesforce provides this award to only one client each year.

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