Data Integration Business Planning

Ashton R. Marrero Contact: (M) 707-***-****

On remote: New York City & Jacksonville, Florida Email:**************@*****.***

Professional Summary

Comprised IT professional with 30 years of experience in information, Innovation & modernization of Digital Analytics. Delivered/Participated in several account portfolio delivery strategies with ERP/MRP services (SAAS, PAAS, and IAAS) consisting of large language models, and services (LLS & LLM), pre/post sales, and delivery. Deliveries in ERP/MRP technology implementation stacks that may include integrated business planning, integrated & open manufacturing planning (IMP, MII, OMP, SEM, BPS, BCS, and APO): Strategy enterprise management, Business transformation, Business planning, worflow management, data integration and simulation, data management governance, profiling, and corporate performance management. Developed service-oriented architecture -integration hierarchies of micro-services, data services, and data integration, coupled with Cloud on-premise/off-premise collocation services data services, and disaster recovery - site with impact analysis. Developed modern storage & compute solution options of (A/I, and ML) functions for serverless architectures and developed modeling execution for CI/CD management.

Prior: planning requirements analysis, programming, and configuration implementation in Business transformation & business process management integration (BPM) 20 yrs.

ERP/MRP disparate technological MPP service-oriented of SAP & Oracle disparate ERP/MRP implementations: 17 domestic full lifecycles; 9 full global lifecycles; 20 plus tactical lifecycle projects. Project management accelerated models: AGILE, Kanban/Epics: REST/SOAP; RICEF – SAP: PDD, FSD, TDS - TOGAF, Zachman, SAP: ASAP, KRUMP, HANKO, RASIC):DTS: (7yrs); SAP( PTP (11yrs); OTC (9yrs); DTP (4yrs); MTS (8yrs); ATR (3yrs); ATO (4yrs); ITO (8yrs) RTR (6yrs); SNP-APO logistics (9yrs); & Integrated project systems (7- 18yrs).

Industry verticals & horizontals: Consumer Goods Manufacturing APO- (CMG), Merchandizing, Is-retail, Corporate finance (FICO) Project accounting systems via FP&A (12- 22 yrs), Accounting-Controllership, Healthcare EMR/HMR, Energy – public utilities, Electronics (automotive), Telecom, and GOVT systems, Aviation- FARCAS, Audit (accounting, preponderance systems (7- 18yrs).

Data lake virtual cloud hybrid on-premises/off-premises projects: 12 full global lifecycles; 21 plus tactical lifecycle projects:

IBM-Nestle (AWS/Azure – data factory), Mike Holt enterprises (AWS), The Repertoire group: Verizon mobile – (AWS), TXU – (AWS), Makeup elegance – (Azure-data factory), ATOS – (Azure), State of Maryland – DHMH, MHBE, and DHR, (Sunguard/Vanguard – EC2/AWS), Harley Davidson- (SunGard/AWS-EC2), IBM - Juniper Networks: Vanguard VC2/AWS, HP (7-Eleven)- Vanguard VC2/AWS, Aviall – Bowing (Vanguard/VCE V-block)/AWS.

Implementation Methodologies & Delivery Summary

•Portfolio Pre/post sales delivery $10 - 72 million

•SOA: CI/CD – REST/SOAP API, DI – (8-12yrs)

•Onshore/Offshore cross-functional modeling (18yrs)

•Big data analysis – functional pipeline solutions (6-13yrs)

•API REST/SOAP programming SOA/ESB B2B/B2C (6-10 yrs)

•GRC: GAAP, IFS, IFRS, IAS, SOX) (4 - 7yrs)

•Hybrid collocation between hybrid landscapes (12yrs)

•Business transformation SDLC: [(PDD, FSD, TDS) (17-26yrs]

•Solutions architecture & pre/post sales (19yrs)

•MDM/MDG logistics, configuration, testing (11yrs)

•Program/Project Management TOGAF/ITIL/BMPL/WBS (12-19yrs)

•Customer relationship management (7-12 yrs)

•IMP, MII, OMP, APO/GATP/GTS - CTP, CTM, Optimizer (7-15yrs)

•SOA Integration tuning: ETL/Migrations: SOAP/REST API/EDI/FTP/BAPI/HTTP/XML/Java/C++/NoSQL/SQL (15 - 25yrs)

Employment History

The Repertoire Group,

Engaged as Chief Technology Officer April 2018 – Present

Remote locations: Ohio and beyond

Contractual Chief Technology Officer – Engagement manager architect for Enterprise Systems & Cloud collocation solutions for ERP disparate services:

Delivered periodic independent consulting: The State of Utah, State of Ohio, State of Nevada, Mike Holt Enterprises (AWS), Verizon mobile – (AWS), TXU utilities – (AWS), Makeup elegance (Azure-data factory), ATOS – Harley Davidson- (SunGard/AWS-EC2), Enersys Battery (MDM – Vanguard/VCE V-block), Aviall – Bowing (Vanguard/VCE V-block), PepsiCo, and Philip Morris – Altria companies (kraft foods).

Technology services stack: ERP SAP SCM- BTP: APO, ABAP; ERP Oracle SCM 11.7 OCI; Oracle – e-commerce; AWS, GCP, Azure Encore - synapse, ADF program modeling; ML/AI lambda, Python serverless functions, TensorFlow, Docker/Kubernetes, Springboot, Kafka, open-shift, redshift, Redbrick – RDD frame, containerization and collocation services subscriptions model.

Day-to-day operations: provided and lead the direction of strategy program architectures -Identify immediate solutions stacks for ML/AI functions to applications architectures in support matters. RFP/RFG remediation OPEX/CAPEX: project planning, and testing implementations. Provided strategy of architecture best practice standards for deployment strategies & implementations for SAAS, PAAS, IAAS product domains and services. Provided solutions for A/I & M/L frameworks including but not limited to support: Enterprise solutions Architectures and frameworks - Serverless, functionless, stored procedures, Programming ETL techniques, Cluster/container design for hybrid services for collocation cloud providers; data architecture/services CI/CD pipelines (functions & integrations), Data profiling management, technology API’s gateways: REST/SOAP, best practices (data fabric/mesh). Lead a team of solutions architects in product delivery, farming accounts, Sales attrition pipelines, product surveys between cloud providers, RFP/RFG remediation, project planning, and testing implementation

•Developed account portfolio delivery strategy with product offerings within cloud ERP services within (SAAS, PAAS, and IAAS models).

•Assess/Analyze and execute strategic projects, building consensus among stakeholders, and ensuring alignment of project culture and delivery.

•Developed Best technology & operations platforms program assessment deliveries within (SAAS, PAAS, IAAS) with supply-chain, IOT, Claims processing, FICO, and payment processing allotments within off-premise (cloud services).

•Provided program automated services between RAML objects (between nodes with containers) within landscapes

•Developed integration services architecture features in Functions/serverless functions with RAML API's (JSON, PHP files, etc)

•Developed Services automation/integration between SOAP/REST API’s - RAML functions with python enumerated capabilities: JVM monitoring/NoQSL scripting, Related HTTP/Java stacks with microservices with AWS (EC2, auroradB)

•Manage overall services-oriented architectures attrition; relationship management delivery of program/project initiatives.

•Ensure project delivery on time and budget at economies of scale and assess revenue recognition cloud subscription services

•Developed & executed several attrition project management models ITIL\Agile methods and breakdowns to ensure MSA -SLA/SOW.

•Assessed and identified business opportunities in farming accounts, and created long-term value succession plans and sustainability.

•Led architecture teams (CI/CD), provided mentoring group for novices; provided professional development, and supported administrative steady-state delivery.

Full-time engagements:

CK Birlasoft LTD New Jersey and Beyond

Remote Location: April 2022 – January 2023

Principal Chief Enterprise Architect.

Provided augmented service delivery in service-oriented architecture within digital analytics with on/off-premise landscapes includes functions and serverless components with LLM/LLS with CI/CD pipelines.

Clients: HP - AWS Upsert programming migration and cloud performance monitoring (EC2, Aurora, Databrick, Kafka, Dynamodb); AMKOR – data analysis for digital analytics; Biometric: AWS/Kubernetes – EC2 Hybrid Cluster - Node Design, Cummings LTD:FIT: CBM – MRP: MII/OMP/IMP analytics, AWS hybrid EC2 vs. GCP – storage and compute options), Cision -Marketing Advertising in GCP implementation. Smith & Nephew (Data governance AWS vs. GCP); Symphony Bank Database application migration collocation on-premise vs. off-premise

Day-to-day operations: Provided strategy of architecture best practice standards for deployment strategies & implementations for SAAS, PAAS, IAAS product domains and services. Provided solutions for A/I & M/L frameworks including but not limited to support: Enterprise solutions architectures, serverless, functionless architectures, Cluster/container design, data architecture (ML/AI functions & integrations), Technology API’s gateways: REST/SOAP, data governance best practices, product surveys between cloud providers, RFP/RFG remediation, project planning, and testing implementation.

Assessed Infrastructure cloud performances: component performance options in microservices SOWs: ranging from JVM, containers, clusters, client instances, syslog any point objects (Apigee) API’s, monitoring in MuleSoft: apps: subscription + API Manager & Analytics, Any point Monitoring, Composer, ACM, RPA, UAPIM, etc.).

Delivered multiple ERP/MRP cloud incremental deployments - Augmented duties include portfolio management. implementations - Designed techniques include not limited to the following discrete manufacturing, supply-chain planning workshops and technology roadmaps for cloud solutions, remediation: BTP:PP, DP, SP QM, WM: SAP-S4 BRIM: MRP: MII/OMP/IMP analytics - Virtual cloud solutions legacy systems modernization to present-day - data lakes with top cloud providers, healthcare, order management, MDM architecture, data replication, streaming, J2E architecture programming, API-services, ML sensory POS components for e-commerce, micro-services, instance releases, JVM, Cloud – virtual solutions, data services: performance tuning between clusters & slave nodes, MDM configuration assessment, designs, ERP-suite design, and disparate systems interfaces to name a few. Includes virtual allocation, fulfillment optimization, and other supply chain and digital footprints: business transformation, data lakes, BI- analytics, etc. Includes: seamless integration (ETL), migration, tool ingestion, data manipulation, and automation of AI/ML across the value chain from ALM/PIM-creation & and segregation, IS – retail merchandising, MRP, and logistics. Program/project planning SCM-logistics, APO enterprise planning configuration, pipeline data lake analysis, specifically focused on end-to-end strategy and tactical engagement around virtual cloud solutions: off-premise/on-premises solutions.

Client: Nestle - IBM/NR Consulting On Remote: St. Louis, MO.

Sr. Enterprise Integration Solution Architect Advisor July 2021 – April 2022

Delivered- Technical solutions in multi-partition data lakes: includes best practices & frameworks accelerated Agile scrum effort (backlog/Kanban’s, epics): TOGAF, Hanko: around surrounding J2E architecture programming, data profiling, master data topography, data latency, Business domain processes, workflow, BI- analytics, firmware, microservices programming in lambda classes, python, UDF, scrips, shells, token rings, API, Tags, portals, MII/IMP imaging, URL, ETL, object creation data profiling, AI- machine learning user experience shopping, Arch-types tensor flow, data services, DQM, and transactional data replenishment embedded architecture performances.

Technical landscape: DTS framework for OMP - PIM/AIM supply chain, STIBO PLM Configuration tool product suite framework for warehouse shipments, containers, and Sales distribution. Cloud Pak integration API v9.7SP12, Syndigo CAR (nestle brand cost centers), AWS-EC2, dynamoDB, Azure suite: Data factory, ap-logic, Databricks; MuleSoft, SAP-ERP: HANA S4: DTS; CAR, Fiori, CDS, APO-SNP, L4: ECC, POL/PLM/PIM, BODS 4.3, Dinodo, Data-flux, Dynatrace, Science-logic, Alteryx designer, Kafka-on-Insight (Broker – catalogs), Open-shift, Docker, Active- Radar, and disparate systems to name a few.

Per request strategy of Supply-chain – PIM/ALM Nestle foods - business model regarding API collocation development, IT data lake solution landscape product master suite assessment. MRP: MII/OMP/IMP analytics - Virtual cloud solutions legacy systems modernization to present-day - data lakes with top cloud providers, on-demand sensing, planning, discrete manufacturing, inventory, micro-services, instance strategy, JVM, Cloud – virtual solutions between Azure product suite migration with ERP-SAP and disparate systems interfaces to name a few. Includes virtual allocation, fulfillment optimization, and other supply chain and data lake analytics solutions including architecture and design for seamless integration and automation of AI/ML across the value chain from product creation, merchandising, and manufacturing to pricing, order sourcing, and logistics.

•Guided engineering on/offshore teams to build AI/ML foundational API services such as forecasting and optimization via API REST/SOAP Development MRP via APO: MII/OMP/IMP analytics - Virtual cloud solutions legacy systems modernization to present-day - data lakes with GCP and Azure – synopsis (ADF) CI/CD (Apigee tags) pipelines.

•Partner with Product and Engineering leadership to build the standard framework and patterns for feature engineering (SQUAD Modeling building, training, and servicing in ServiceNow backlogs-scrum effort deployed resources & break-fix item rollouts

•Participated in the design and engineering of data services - applications solutions that have significant tactical/ strategic impact and achieve long-term competitive advantage for Nestle brands accounting systems including Reconciliations, Consolidations, federated Reporting analysis, (P&L) balance sheet, etc.) Cost/Profit center management, Project billing, project costing via AR, AP, FA – liquidity solvency.

•Assessed and developed domain-driven design and architecture principles of partial security, privacy, scale, uptime thresholds, and reliability between clusters/containers/J@E architecture thresholds IoT, platforms utilizing app=-logic supporting data factory

•Partner with business leaders to provide expert technical advice and influence strategic decision-making.

Client: Mike Holt Enterprises/The Repertoire Group, Inc. Ocala, Florida

Business IT Architect – IT Digital Solutions Oct 2020 – June 2021

Per request strategy on E-commerce business model regarding online enrollment for electrical practitioners; IT data lake solution landscape on master data governance, data services & J2E architecture. Including pain-point analysis on multi-instance architecture framework by reference pipeline data analytics, configuration management, master data governance, capacity planning, om platform virtual, cloud architecture, hybrid premise augmentation, and implementation.

•Created initial workshop project plan & and schedule to assess enterprise digital architecture assets.

•Evaluated requirements definition: on-sight: J2E architecture requirements, data lake virtualization areas: platforms, tools, applications, security, and network architectures.

•Developed model of ML techniques, assessing product allotment between cache

•Assessed pipeline analytic programming components in J2E architecture (lambda functions) & micro-services, etc.

•Developed solutions for e-commerce per process models: e-learning, apprenticeship, electrical for dev-ops modeling improvement criteria

•Assessed digital assets source system landscapes in MySQL, Apache, AWS, Courseware, Media Web, Lambda functions; Avalara tax, keystroke, digital books, Web-internal, apprenticeship, and Content assets.

•Recommended process model delivery in Agile/SCRUM facilitation on digital lake components and best practices scaling options

•Assessed full-stack repository monitory systems-virtual memory allocation: security JAVA, JAR, virtual instance-JVM connection monitoring between clusters, contains, and nodes

•clusters - appliance cloud options, etc.) REST API’s components (SOA/ESB/programming design)

•Developed initial architecture documentation: process design, release management, process artifacts, leading toward future state deliverables -data migration - pipeline analytics: data modeling design

•Alignment programming techniques of the following J2E eco spaces, Java – applets, Angular 6.1, and python

Client: University of Nevada at Las Vegas Las Vegas, Nevada

Sr. Solutions Architect - Big data architecture solutions March 2019 - October 2020

Established technical evaluation: per student enrollment admissions business case criteria, per data management design for data lake solutions - scaling options for multi-instance, migration and transformation for regional locations: including pain-points analysis includes architecture framework, data pipeline analytics, configuration management, master data management, capacity planning, virtual, cloud, on-premise augmentation, implementation for initial enterprise advisory assessment recommendation.

•Created initial workshop project plan & schedule to assess enterprise architecture frameworks.

•Assessed PLM/PIM with Oracle EBS Hexadata system configuration

•Evaluated requirements definition: DEMOS via release configuration for on-sight: infrastructure data lake virtualization areas: platforms, tools, applications, security, network architectures with disaster recovery analysis collocation with site impact analysis monitoring procedures.

•Assessed workday solutions ticketing process for dev-ops modeling improvement criteria

•Assessed: full-stack source system landscapes in Peoplesoft, Oracle, SAS, Cloudera, Informatica, DataStage, Hadoop eco-space for memory management and on disk fragmentation from hardware appliance & Hadoop cluster common: HDFS & Map Reduce.

•Assessed full-stack repository frames setup for virtual memory, security & ETL data pipelines, Jboss, IDocs, JAVA, JAR, virtual instance JVM, MDM - snowflake POC/POV instance -connection monitoring between cluster client configuration between portals, ESB Hubs, Node configuration setups of master, slave & data nodes – per ports between hardware & data pipeline applications in Hadoop.

•Big data pipeline analytic components, Hadoop options – Eco space (ingestion tools: Hive – SQL, NoSQL, data migration, scripting, mappers, reducers, clusters - appliance cloud options, etc.) REST components (SOA/ESB/programming design - Clustering appliance, frames- RAID, port transfer options, COSMOS coupler packages, with Attunity micro-services, etc.).

•Developed initial architecture documentation: process design, release management, process artifacts, leading toward future state deliverables -data migration - pipeline analytics: data modeling design (Customer catalog taxonomy normalizations at various levels).

•Developed GCP virtual platforms, data services, per project cluster – node, with Exadata, (Apigee functions) SAS functions virtual network hybrid prim.

•Recommended full scope delivery on Agile/SCRUM facilitation on data lake components and best practices scaling options

•Recommended HADOOP: MAP R vs. HDFS for SAS scientific research & on-campus student enrollment criteria attrition models. Apache products alignment programming techniques of the following eco spaces of Hadoop: Scala, Scoop, Spark, HiveQL, NoSQL in Cloudera BDM with Informatica (power center MDM core repository).

Client: Entergy power: HCL/Info-ways Technology Consulting New Orleans, LA

Sr. Solutions Architect - Big data architecture solutions Dec 2018 – March 2019

Established technical evaluation: per power production utilities, metering for catalog data management, Developed asset management network with Fleet management auto, asset recovery network and vendor management, Grid management provisioning, (SAP S4 Hana – brim L3/L4, APO) data lake infrastructure scaling options for multi-instance transformation for regional locations: including pain-points analysis, architecture framework, configuration management, capacity planning, cloud virtual testing and augmentation, implementation for initial enterprise advisory assessment.

Assessed Infrastructure cloud performances: component performance options in microservices between Kubernetes and Mulesoft: ranging from JVM, containers, clusters, client instances, syslog any point objects, ITC devices, edge servers, monitoring CI/CD pipelines atmos master data API: subscription + API Manager & Analytics, Any point Monitoring (Apigee tags), Composer, ACM, RPA, UAPIM, etc.).

•Created initial workshop project plan & schedule to assess enterprise architecture frameworks.

•Determine business requirements of Asset network recovery: fleet management, ICT devices and Electrical equipment, Meter device control and RFID, Architecture API management between business requirements in ECC vs. S4 Hana, setup frames and project systems via Asset netwprk planning device & electrical controls.

•Evaluated requirements definition: DEMOS via release configuration for on-sight: infrastructure data lake virtualization areas: platforms, tools, applications, security, and network architectures.

•Assessed workday solutioning ticketing process for dev-ops modeling improvement criteria

•Assessed: full stack source system landscapes in Peoplesoft, Oracle, SAS, Cloudera, Informatica, DataStage, OpenShift instance Hadoop eco-space for memory management and on disk fragmentation from hardware appliance & Hadoop cluster common: HDFS & Map Reduce.

•Assessed full stack repository frames setup for virtual memory, security & ETL data pipelines, Jboss, IDocs, JAVA, JAR, virtual instance JVM connection monitoring between cluster client configuration between portals, ESB Hubs, Node configuration setups of master, slave & data nodes – per ports between hardware & data pipeline applications in Hadoop.

•Big data pipeline analytic components, Hadoop options – Eco space (ingestion tools: Hive – sql, NoSQL, data migration, scripting, mappers, reducers, clusters - appliance cloud options, etc.) REST components (SOA/ESB/programming design - Clustering appliance, frames- RAID, port transfer options, COSMOS coupler packages, with Attunity micro-services, etc.).

•Developed initial architecture documentation: process design, release management, process artifacts, leading toward future state deliverables -data migration - pipeline analytics: data modeling design (Customer catalog taxonomy normalizations at various levels).

•Developed GCP virtual platforms, data services, per project cluster – node, with Exadata, SAS functions virtual network hybrid prim.

•Recommended full-scope delivery on Agile/SCRUM facilitation on data lake components and best practices scaling options

Client: Tractor Supply Company: Solomon Partners Brentwood, TN

Sr. Solutions Architect - Big data architecture solutions December 2017 - December 2018

Established technical enterprise: Merchant retail (E-commerce) solutions: service-oriented architecture (SOA) proposition with PIM/ ALM/PLM/CRM for Item Data management, big data scaling options for multi-instance transformation for regional locations: including pain-points analysis, architecture framework, configuration management, capacity planning, cloud virtual testing and augmentation, implementation for enterprise-scale, big data solutions for midrange disparate applications - appliance option landscapes:

•Developed RFP/RRFP for overall architecture vendor selection for is- retail and merchandizing e-commerce

•Assessed ESB microservices between Jboss vs. Kubernetes data services with Docker/EMR/Databrick/OpenShift/ hybrid Azure solution

•Developed & deployment architecture framework SDLC AGILE/SCRUM epic rollouts

•Developed machine learning with active r, shopping cart model sensing purchases, POC

•Deployment of open-source architecture in Cloudera. Hortonworks – (regional store sectors) for (Azure hybrid solution)

•Assessed rack CPU sizing paralleled with Hadoop (MapReduce & HDFS)

•Deployed CRM components: Pricing, warranty shipments, POS, Vendor, and capacity planning allocations (Salesforce)

•MDG - PIM Governance strategy

•Developed an e-commerce strategy for Assortment planning, replenishment, data pagination area development components: web ui, data integration IDOCS via data services paradigm

•Developed Sales CRM(SOA) CRM – order management with product hierarchy with eco terms consolidation and remediation for PLM

•Data profiling eco-space, modeling studio (SLT/RDS for expense vendor): information steward & data services) BODS 4.1 ETL (flat-file transfers)

MDM strategy with tool options; ETL Xref option logical data-mart production support for local PIM & Corporate performance sustainability

•SOA/ESB middleware options (Hana S4 6.7 – 6.8) SLT/ RDS object modeling with Lumira BI) performance tuning

•Evaluated software DEMOS via Release configuration for retail replenishment areas: planogram, assortment, capacity planning at stores

•Provided Data services/data brick configuration with Azure containment cluster release instances

•Developed JVM configuration EMR with Kubernetes: data services replenishment components, DynamoDB/-Dynatrace trio monitoring.

•Full-stack repository setup for virtual memory, JBoss, IDocs, JAVA, Radar X, for RedHat option virtual instance JVM connections in Dynatrace

•Full stack in Cloudera, Netezza, Hadoop for memory management, Cybertek machine learning – predictive analytics

•Pipeline analytics data integration: REST API/BAPI data migration- programming options: Scala. Jason, HiveQL, Pig, NoSQL Zookeeper Adm sets, Apache, options – Eco space, REST components (SOA/ESB/programming design - Clustering appliance, frames- RAID, port transfer options, COSMOS coupler packages, with Attunity micro-services, etc.). (Scripting, mappers, reducers, clusters - appliance cloud options, etc.) REST components (SOA/ESB/programming design - Clustering appliance RAID options).

•AWS – Kubernetes: data services in lambda components, Dynamo/DB/Manugistics/Dynatrace

•Miscellaneous documentation: data modeling design, for MRP Manhattan/JDA/Tibco for vendor master data: (Material, Customer, Vendor, Pricing, Finance Hierarchies and view logical & taxonomy normalizations at various levels)

Established technical MDM/MDG virtual cluster enterprise architecture proposition with big data scaling options for multi-instance transformation for regional locations: including pain-points analysis, architecture framework, configuration management, capacity planning, cloud- testing implementation for enterprise-scale, big data, replenishment solutions for midrange application landscapes including:

Technology transformation deliverable landscape: BAAN 7.0, SAP: ECC 6.5, 6.7, 6.8 SAP Hana C3, Microsoft Dynapro 4.5;, Informatica & BODs 4.1, input script 2.1 (ETL),Hadoop 4.7 NoSQL, Pig, Hive, Zoo keeper, Corticon rules-based engine SP5, Hadoop, Cassandra, 6.2., 2.1, .Net frame CLR, cloud options 4.1, (Azure/Databrick pipeline TFS 2015, Talend 7.3, Cloudera, 4.2 Hortonworks 6.0, and Mark logic 2.4).

Xerox – Business Consulting Services Elkridge, Maryland

Director of Technology of Innovation Big Data Solutions Oct.2015 – Dec 2017

State of Maryland clients: DHMH, MHBE, and DHR

Reported directly to the VP/CTO, of Technology Services Management. Led initiatives to cultivate and drive innovation across ITS support of state and local agencies’ business objectives. Collaborated with the ITS Senior Leadership Team and other key stakeholders to set strategic goals and oversee the strategic design, development and implementation of an enterprise-wide IT Blueprint and delivery. Additional responsibilities include developing IT operational benefits and corresponding business cases and fostering technology innovation across all ITS departments for cloud computing collocation services for midrange & mainframe landscapes.

Solution deliverables, hands on soft-skills contribution (Pig/Sql, Spark, and Hive ingestion tools):

•Maintained and sold 32 – 70 million of cloud computing attrition services portfolio.

•Developed technical RFP/RRFPf or Oracle EBS PLM cloud services

•Developed Technical enterprise architecture proposition including pain-points analysis, remediation, master data, analytics, audit systems reference of big data technology landscapes implementation hubs end to end.

•Co-developed technical hardware services proposition for midrange & mainframe collocation cloud computing services disaster recovery site collocation and impact (Capex/Opex revenue recognition).

•Co-developed technical ingestion platforms architecture programming data services profiling in: Python, Scala, HiveQL, JSON, and NoSQL

•Developed technical architecture remediation in-mode memory management with data lake areas: Mongodb, Cassandra, Mark-logic, DB2, Oracle, SAP, Tibco, Azure Platform applications.

•Miscellaneous duties: Developed and lead scorecard workshop in MDM data profiling for digital dashboards & IOT: BI reporting, stochastic inventory analysis, virtual performance tuning parameters– job logging (Apigee tagging): clustering, raid dumps, JVM, etc.

Technology solution landscape: Microsoft Dynapro 4.5;, Informatica (ETL), Mark logic, NoSQL, Pig, Strom, Zookeeper, Kafka, Scoop, Corticon rules-based engine, SP5; Hadoop, Cassandra, 6.2., 2.1, V-block, (payment analysis), TIBCO, IFS preponderance systems, cloud options; (claims Configuration); EMC v-block, SAP data services - DQM:BOBJ., BW 7.0, Snow-flake 9.0, Information Steward: Customer, Product, mobile provisioning, Pricing, and web-sphere web portal content; Process areas: PTP, ITO, RTR. Development: partial data analysis functional

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