Rahman Abuhasan work email
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Rahman Abuhasan personal email
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I am an enterprise architect consultant (certified TOGAF in addition to deep experience with Zachman, DoDAF frameworks) with over 25 years of enterprise architecture strategy, tactics, hands-on, planning, advisory and consulting experience in leading efforts to managing, architecting, building and implementing mission critical systems for different line of businesses (Healthcare, Tel-communication, Medical, Banking/Financial, Insurance, Education, Retail, Pharmaceutical, Manufacturing, Government…etc.).I possess extensive experience in architecting, implementing and hands-on/coding high-available, high-performance, resilient, scalable/elastic, secured and complex suite of systems (on-premises and/or cloud based). I played the role of chief architect and SME on most of the architecture domains including business, application, and infrastructure with deep focus on data architecture domain. I designed and implemented big data, data lakes, LakeHouse, data hubs, enterprise data warehousing (EDW), business intelligence (BI, data analytics, data mining/curation), data delivery, data sharing, Data Governance Frameworks, compliancy/standards, MDM, data integration/capture/transformation/ingestion/CDC), and overall enterprise data management and DLC, data modeling, enterprise information modeling with business capabilities, data flows, data security, data privacy and access control. Additionally, I led various data strategies linked to business processes, digital transformations initiatives, roadmaps and gap analysis on current and target architecture states related to trends in technologies, business capabilities, process re-engineering and people/organization enablement, and cloud computing technology leadership on both AWS and Azure. I possess strong business and technical leadership management skills focused on increasing organizational efficiency and bringing products to market on time and on budget. Mentoring and coaching capabilities, team leader and player, results oriented, stakeholder and vendor management, soft skills, storyteller, time management, adaptable, creative, high integrity, excellent communicator with colleagues, customers and upper C-level management, ability to offer alternatives of realistic design/deployment options. Proactively managing and leading efforts to enhance customer service by defining necessary tools and methodologies to continuously re-evaluate and improve end-user experience.
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Enterprise Data Architect - ConsultantStepahead Aug 2021 - PresentBoston, Ma, UsBuild Enterprise Architecture for various clients by evaluating, inventorying and reverse engineering current architecture state, identifying and scoping target architecture state and finally providing a comprehensive roadmap between the two states utilizing an agile delivery mechanism. Drive all design and architecture roadmaps/strategies for data analytics and application integration/migration from legacy to the cloud [AWS/Azure].Architect and direct all implementation efforts related to Big Data, Data Lakes, Lakehouses, Data Analytics, Legacy Data Migrations, Enterprise Data Warehouses [EDW] and Data Science/AI initiatives employing best-of-breed technological solutions [on-premises, cloud, hybrid].Design and establish Enterprise Information Data Models, Data Flow, Data Life Cycle/Lineage, and overall Data Managements best practices that are aligned with business models and requirements. Utilize ArchiMate visual-modelling and design tool to produce Architecture artifacts. Deploy Data Governance frameworks/programs, Data Quality Controls, MDM solutions, Privacy/security and access control, and creating awareness/adherence to industry standards and regulations. Enable and foster data driven cultures, self-service reporting, data stewardships, data analytics and design/develop algorithms utilizing massive data points from all data vendors across all business units. Provide leadership on engagements, ability to balance team and individual responsibilities, build teams and consensus, identify priorities, and risk management and work ethically, transparently and with high integrity. Systems modernization and cloud computing migration. Applications evaluations, API management, functions/data dependencies, integrations and analysis. -
Enterprise Data Architect - ConsultantStepahead Jun 2013 - PresentBoston, Ma, UsGENERAL CLIENTS’ CONSULTING ENGAGEMENT EXPERIENCE- Build Enterprise Architecture for various clients by evaluating, inventorying and reverse engineering current architecture state, identifying and scoping target architecture state and finally providing a comprehensive roadmap between the two states utilizing an agile delivery mechanism. - Drive all design and architecture roadmaps/strategies for data analytics and application integration/migration from legacy to the cloud [AWS/Azure]- Architect and direct all implementation efforts related to Big Data, Data Lakes, Lakehouses, Data Analytics, Legacy Data Migrations, Enterprise Data Warehouses [EDW] and Data Science/AI initiatives employing best-of-breed technological solutions [on-premises, cloud, hybrid].- Design and establish Enterprise Information Data Models, Data Flow, Data Life Cycle/Lineage, and overall Data Managements best practices that are aligned with business models and requirements. Utilize ArchiMate visual-modelling and design tool to produce Architecture artifacts.- Deploy Data Governance frameworks/programs, Data Quality Controls, MDM solutions, Privacy/security and access control, and creating awareness/adherence to industry standards and regulations [HIPAA, GDPR, PII, PCI, SOX…etc].- Enable and foster data driven cultures, self-service reporting, data stewardships, data analytics and design/develop algorithms utilizing massive data points from all data vendors across all business units.- Provide leadership on engagements, ability to balance team and individual responsibilities, build teams and consensus, identify priorities, and risk management and work ethically, transparently and with high integrity.- Systems modernization and cloud computing migration. Applications evaluations, API management, functions/data dependencies, integrations and analysis. - Continuously maintain deep and trusted C-Level relationship with all customers at all levels, coordinate collaborations/communication. -
Data ArchitectCare.Com May 2011 - May 2013Dallas, Texas, UsDefine, plan and implement strategies for enterprise data governance including policies, standards, data identification/definition/classification, data consistency, data acquisition/extraction, scrubbing/integration, data hosting/location, data manipulation / reporting/intelligence, data sharing/replication/federation and consolidation, data security and data aggregation /archiving cross all information management systems within the enterprise. Build high level conceptual, logical and physical data models as well as detailed ones for various business needs. Perform extensive data analysis (data sensitivity, manipulation frequency for ACID, data authority, data regulation compliance..etc) including capacity planning (processor, storage, network) and governance. Design architectural database solutions for high scalability, high availability/(business continuity) and performance at the enterprise level to meet the current and future needs of the accelerated business and customer base growth. Resolve any/all conflicts at the architectural level and help transform architectural solutions into actual project plans. Design and build business intelligence platform, reporting and dashboards with mass level wealth of heterogeneous legacy data (>15 TB) to be used by executives and marketing analysts for their day to day analysis and predictive considerations. Design and deploy efficient schema models and entities (> 500) with massive and real-time data manipulation with a instantaneous ETL processes. Utilize Amazon web services for testing/developing and proof of concept pilot projects (hadoop/map reduce/hive). Design the architecture including data life cycle stream for all web activities/clicks to be analyzed on top of a scalable hadoop platform in order to provide intelligence back to the front end application. -
Consultant/Data ArchitectRsa, The Security Division Of Emc Nov 2006 - May 2011Burlington, Massachusetts, Us Acts as prime SME data architect for all schema products embedded, virtualized and standalone database systems. Design, manage, plan and implement enterprise information system architectural solutions, methodologies and standards for high performance, scalability and high availability/clustering solutions and information sharing (replication). Preparation and definition of business cases reviews and validate technical and functional requirements. Define the ongoing backup/archiving policies, authentication/authorization, patching/upgrade and all maintenance strategies. Design data level architecture capacity planning, security/auditing and operations (including VMware products). Evaluate current standards and policies to those provided by industry and recognize potential adoption within the enterprise to improve overall practices. Identify and communicate risks, provide early stage alternatives and proactively correspond to upper managements. Interactively and promptly communicate progress, risks/issues and is seen as a visionary, providing input to direction and strategy. Ensure clients satisfaction, exceed expectation and maintain trusted bond with clients at all levels. Work on unusually complex problems and provides technical solutions, which are highly innovative. Visible to stakeholders as the subject matter expert. Tools and Technologies used: Oracle, Streams, Golden Gate, Scrum, Erwin, SQL Tuning, Toad, VMware, Stored Procedures, Top Down and root cause analysis. -
Data ArchitectIron Mountain Digital Jan 2006 - Nov 2006Boston, Massachusetts, Us Responsible for the overall Enterprise data architect and design of Digital Archive systems and databases (>20 TB). Design mass data ingestion, purging, authentication, replication, archiving strategies and regulatory compliance/standards. Establish and publish guidelines for data architecture standards, MDM and best practice enforcement at enterprise level. Work with customers to efficiently advice and deploy/integrate product components on all environments (dev, test, production) and provide training and guidance on best practices. Mentor/manage group of developers/DBA/System Admin and architects. Design, produce and maintain ERD diagrams of over 1000 entities cross all business practices utilizing Erwin tools. Lead efforts to deploy the optimal system layout, performance, scalability and 24/7 service availability clusters (business continuity and disaster recovery policies and guidelines). Define and execute benchmarking strategies for all environments). Setup the roadmap for the enterprise data architect including requirements for data manipulation, data security, risks analysis, data retention policies and data archiving. BI strategy definition, design and implementation for Event Tracking System and Billing. Provide design for next level data summarization and abstraction as Data Marts, Cubes, Multidimensional databases, etc. Performing conceptual, logical and physical data modeling work utilizing Erwin and Power Designer tools and database design in complex, large-scale data environments. Setup strategic and tactical plans for benchmarking the architecture; define test cases, performance metrics and acceptance criteria against massive database systems. Review, validate results and communicate to team and stakeholders all artifacts and deliverables. Provide mentoring/coaching leadership, offer brownbag sessions and knowledge transfer exercises. -
Data ArchitectMarketmax, A Division Of Sas Sep 2005 - Nov 2006Cary, Nc, Us Lead projects to Re-architect the OLTP and data warehouse dimensional star schema and data marts for new releases of MarketMax (Merchandise Planning) application for various RDBMS systems. Optimal database system design/configuration/customization for high performance and scalability for a variety of clients. Generate logical and physical data models associated with data architecture requirements, build metadata for existing and newly acquired entities and classify each according to usage, ACID, Data type .etc. Define, gather, analyze and document all technical and functional requirements and deliverables. Plan for optimal deployment infrastructure requirements including (storage, network, servers, tools, etc). Evaluate and present the existing/new technical architect, timeline and required resources to management and clients. Working on standardizing and integrating MarketMax with the rest of SAS products (data and application compliant). Guarantee on-time achievement of deliverables and play Quality Assurance role for technical team deliverables. Generate and maintain enterprise level data definitions (DDL) and customize/tune for various database technologies . Design and participate in the governance activities, ensuring adherence to regulatory compliance and enterprise standards. -
Senior Data Warehouse ConsultantCuesol Inc Feb 2005 - Sep 2005Boston, Ma, Us Analyze all business requirements and functional specifications for customer tracking and retention OLTP and data warehouse project. Evaluate and recommend different technologies and platforms in response to business growth and technology evolvement. Capacity planning, defining, analyzing, designing/modeling and implementing customer product to support marketing intelligence. Coordinate and manage the deployment strategy, identify and resolve all/any issues, apply knowledge and experience considered necessary to profitably, manage client relation, exceed expectations and deliver a successful project. -
Data Warehouse/Data Mining ArchitectJohnson & Johnson Pharmaceutical Services, Llc 2001 - 2005 Lead efforts in defining, analyzing, designing/modeling and implementing transaction databases, analytical data warehouse and data mining to help scientists predict future experiments’ results and accelerate drug discovery process. Setup standard interfaces between laboratory station/robot controllers and transaction databases (development, test/QA and Production). Develop and implement strategies for data architect, data acquisitions, archive/recovery and reporting. Also design and implement custom ETL processes for data movement and data transformation cross all internal and external databases. Data modeling (logical and physical), implementation and tuning database engine, schemas and DML/Queries for OLTP and data warehouse/data mine structures. Develop an in-house corporate Chemical Inventory and Chemical Library DBMS systems with interaction to MDLI products. Resolve issues and implement solutions for scalability, availability (failover), reliability, security and performance for the whole enterprise. Mentor/manage group of developers/DBA/System Admin and architects. Setup project development methods, standards, templates. Research and resolve any/all design and development issues.
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Manager Data ArchitectIsi Emerging Markets 1999 - 2001London, London, Gb Efficiently manage resources, budget and time to deliver various strategic projects. Set the technical directions for the organization as well as providing directions for the improvement of operational processes. Evaluate technologies and software products (e.g. Content Management, ERP) and recommend use for developing web-based applications. Designed and implemented a three tired Internet architecture for the corporate E-Business model and Pay Per View initiative. Architect and Implement an OLTP and Data Warehouse solution to achieve intelligent marketing and provide help to executives in decision making. -
Data Warehouse Technical Architect LeaderInsurance Technology Services Of America (Itsa) Apr 1999 - Oct 1999 Practicing BI methodology and setup project plans. Designing and implementing architect for Insurance Data Warehouse (Premium and Claim subject areas) Technical systems architect for N-Tier Web applications. Manage projects, resources and time. Define necessary tools for testing, validating and diagnosing integrated packages and modules. Provide scientific approach for acceptance testing. Provide technical support to clients at critical situations. Monitor system load, growth and document outcomes.
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Principal Consultant/ Team LeaderOracle Corporation Inc. May 1996 - Apr 1999Austin, Texas, Us Working at Oracle prospect and client sites to synthesize people, processes, software and hardware into optimal application systems in various operating system environments. Applying knowledge of operational procedures appropriate to creating and running high-volume, high-performance, high-availability, complex application suites for various types of industry (e.g. Insurance, Communication, Retail, Financial…etc.). Designing and implementing logical and physical data models and data architect for several mission critical OLTP and Data Warehouses (> 1 TB) projects as well as integration with other systems. Implementing, testing and automating data capture, cleansing, load/populate and reporting procedures. Planning for database backup/recovery, availability and establishing security policies. Improving overall system performance by building, monitoring and documenting successful new methods and tools. Identifying, scoping and selling billable consulting work. Technically and functionally leading team of consultants (4~8). Develop module, system, and acceptance test plans. Ensure timely completion of deliverables; keep development team on track (timeline and functionality). Fill Quality Assurance role for technical team deliverables. Communicate technical issues to customers at a business level. -
Senior Decision Support System ArchitectA.C. Nielsen Nov 1995 - May 1996New York, Ny, Us Data Architect and Data modeling adopting Star and Snowflake schemas for Nielsen’s retailer clients. Benchmarking database engines to achieve the optimal configuration. Supporting and implementing an OLAP tool (Workstation Plus) on different platforms and different RDBMS engines. Performance tuning. Design and implement data capture, transform and load/populate methodologies and rules (build Metadata repository). Providing database and UNIX system standards for developers involved in various projects. -
Senior ConsultantAndersen Consulting Jun 1994 - Nov 1995Dublin 2, IeLed various projects:LIVINGSTON INTERNATIONAL INC. (Custom Brokers) Implementing a three tiered Client/Server system deploying Informix On-Line engine, Tuxedo TP monitor and Visual Basic. Administrating multiple residency servers for development, testing and production environments. Database modeling and logical/physical database layout implementation. Benchmarking database background load, concurrent users and Backup/recovery using ESQL, C and UNIX shell scripts. Performance tuning (Applications, Platform, Server and Network).BELL MOBILITY CELLULAR Building, tuning and implementing Sybase database for message processing (Call Data Records CDRs). Prototyping and benchmarking Tuxedo middleware for database hits, load balancing, message queuing and guaranteed message delivery features. Designing and presenting the technical architecture solutions to clients as a member of the technical architecture group. Help client rolling to production by conducting various knowledge transfer sessions and providing full documentation.
Rahman Abuhasan Skills
Rahman Abuhasan Education Details
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Jordan University Of Science And TechnologyComputer Engineering
Frequently Asked Questions about Rahman Abuhasan
What company does Rahman Abuhasan work for?
Rahman Abuhasan works for Stepahead
What is Rahman Abuhasan's role at the current company?
Rahman Abuhasan's current role is Enterprise Architect.
What is Rahman Abuhasan's email address?
Rahman Abuhasan's email address is ra****@****ink.com
What schools did Rahman Abuhasan attend?
Rahman Abuhasan attended Jordan University Of Science And Technology.
What skills is Rahman Abuhasan known for?
Rahman Abuhasan has skills like Data Warehousing, Agile Methodologies, Database Design, Databases, Cloud Computing, Scrum, Enterprise Architecture, Sql, Unix, Software Development, Systems Analysis, Sdlc.
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