David Guinart Email & Phone Number
@jll.com
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Who is David Guinart? Overview
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David Guinart is listed as Senior Manager Data Engineering and Analytics at JLL, a with 99146 employees, based in Barcelona, Catalonia, Spain. AeroLeads shows a work email signal at jll.com and a matched LinkedIn profile for David Guinart.
David Guinart previously worked as Senior Manager Data Engineering & Analytics at Jll and Lead Data Manager at Jll. David Guinart holds Master'S Degree, Business Intelligence And Big Data In Cyber-Secure Environments (Online) from Universidad De Valladolid.
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AeroLeads found 1 current-domain work email signal for David Guinart. Compare company email patterns before reaching out.
About David Guinart
David Guinart is a Senior Manager Data Engineering and Analytics at JLL. He possess expertise in matlab, visual basic, c/c++, vhdl, orcad and 19 more skills.
Listed skills include Matlab, Visual Basic, C/C++, Vhdl, and 20 others.
David Guinart's current company
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David Guinart work experience
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Senior Manager Data Engineering & Analytics
Current• Managing and leading data projects for the Global Capital Market Group and CRM (Saleforce)• Leading and contributing to the design of information infrastructure and data management processes to transition the organization to a more advanced, flexible, and robust target state data architecture. • Leading the development of systems that ingest, cleanse, and normalize diverse datasets, create data pipelines from various internal and external sources, and structure previously unstructured data. • Implementing modern data architecture approaches to achieve key business objectives and deliver end-to-end data solutions. • Designing and leading data management and data persistence solutions for application use cases, leveraging relational and non-relational databases while enhancing data processing capabilities. • Leading proof of concepts (POCs) to influence platform architects, product managers, and software engineers in validating solution proposals and facilitating migration • Conducting data modeling, mapping, data discovery/analysis, and gaining a strong understanding of the business context. • Leveraging cutting-edge technologies, including AI/ML technologies, in collaboration with the Data Science team and other team. •Establishing data quality standards and implementing RDM and MDM practices to ensureaccurate and reliable data for decision-making processes.•Collaborating with stakeholders to develop and enforce data governance policies andprocedures, including RDM and MDM frameworks, to improve data management practices and enhance data-driven decision-making capabilitiesTechnology used: Mongo DB | Cosmos DB | Azure Data Factory | Azure Blob Storage | SDB Sql | Azure DataLake | Azure Stream Analytics | Azure Function | Azure Devops | Spark (ML and MLlib) using Databricks with scala and Python(pySpark) | Power BI | Tableau | Confluence | Azure Synapse | Collibra | Saleforce
Lead Data Manager
• Managing/Leading data projects for Global Capital Market.• Develops proficiency in multiple data management disciplines and tools to develop robust data and information management solutions to capture and integrate data across multiple sources and across multiple markets / executes and monitors complex data management / analytic processes to support ad hoc data and information delivery for assigned projects.•Identifies opportunities to optimize the performance and efficiency of existing processes/procedures, data sources, performs data discovery to understand data values and relationships, and develops prototype solutions to deliver immediate business value.• Mentoring less experienced analysts on proper standards/techniques to improve their accuracy and efficiency.• Monitors data / information management processes to ensure data accuracy and consistency in support of business initiatives.• Uses advanced mathematical and analytical methods (ML) to perform data analysis to understand business pattern, requirements, and client needs• Engaging with colleagues and internal customers to reverse engineer existing business processes and identify core business requirements for new information deliverables and data infrastructure.• Articulates business requirements in sufficient detail such that a technical solution can be designed and engineered.Technology used:Mongo DB | Cosmos DB | Azure Data Factory |Azure Blob Storage | Azure DataLake| Azure Stream Analytics |Azure Function | Azure Devops | Spark (ML and MLlib) using Databricks with scala and Python(pySpark) | Power BI | Tableau | Confluence
Digital Acceleration Champion - Project Manager (Industry 4.0, Iot, Big Data, Architect, Aa/Ml/Ai)
• Digital project manager in operations (Cloud computing, IoT platforms & devices, Data management, Advanced Analytics solutions...) focused on factories or supply chain activities (Worldwide). Responsible to structure the projects, plan, budget, execute, monitor, control and close it.• Assess the potential of new digital technologies and solutions, supporting the business in the evaluation of the potential and value of these technologies as well as in preparing the strategy for global implementation.• Working in close collaboration with the IT and OT Business Solution owners to integrate the experiment outcomes into the solutions lifecycle and roadmap. Delivering in a fast an efficient way the digital projects and for managing the project from and IT & OT perspective.• Innovation and new technologies (researching): IoT (particularly Industrial IIoT), AI/ML, Blockchain, Mixed reality, robotics, cloud/edge computing (Azure/AWS).• Using different methodologies: Design Thinking, Lean Start-up, Business Model Canvas, Rapid Prototyping and Agile development techniques.• Leading vendor selection process RFI /RFQ/ RFP• Technology used: Azure IoT Hub | Azure IoT Edge | Cosmos DB | Azure Data Factory |Azure Blob Storage | Azure Stream Analytics |Azure Function | Spark (ML and MLlib) using Databricks with scala | Power BI | Tableau
Ee Product Engineer (Npi) - Operations/Analytics
• New Product Introduction Engineer. Actively participates in the New Products Design phases working closely with R&D labs providing the required inputs from Operations perspective (manufacturability, serviceability and cost).• Work & Leading suppliers, vendors and subcontractors to achieve the specifications. Define KPI´s and CPPP´s (critical product performance parameter) to ensure the product quality and the design margin. • Coordinating and managing the activities to drive the transition from early prototype stages to volume production at Worldwide Manufacturing Partners, working closely with other HP organizations in Asia (Singapore, Malaysia, China…) responsible for production management. Holds the engineering responsibility after production starts, and improves the product and its related processes to optimize final product quality, cost and manufacturing efficiency. Improvement with new technologies (IOT) the manufacturing process and the diagnosis and prognosis for services activities• All these activities take place in an environment of worldwide manufacturing and distribution, working with external Manufacturing Partners, as well as internal partners ranging from R&D, Supply Chain, Customer Assurance, regional distribution centers (Worldwide), to Marketing
R&D Project Engineer - Predictive Maintenance (Analytics) - Digital Services (Operations)
• Lead, management, planning and researching networks wireless (802.11/802.15.4) and others intelligent sensors to monitor train components on board (sounds, vibrations of mechanicals systems, pressure, temperature…). Aiming for data capture in order to analyze it and data processing with the goal of predictive maintenance.• CBM on board (Condition-based maintenance).• IoT (Internet of things).• Energy Harvesting.• Team work among different countries.• Analysis, diagnosis and prognosis – Big data analysis• Signal processing.• Embedded design (Digital hardware architectures)- Low power consumption• Project management – International projects more than 80% (UK, Spain, France, Switzerland, Italy, USA, Latin America…).• Contact costumers.• Planning, integration, test, Lead and management different projects with suppliers (technical institutions and universities) and team members worldwide.• International congress participations & Publications.• Negotiations skills.• Timing Control.• Manage Budgets.
R&D Engineer (Software)
• Software design & Project management 85% and 15% PCB design (Electronic design) & of indicators weights (HW/SW), and more currently in embedded software programming of microcontrollers(8051 family in assembler), high-level programming (ARM 16 and 32 bits in C), Visual Basic, PHP, MATLAB...), design communication protocols (I 2C, RS 232, CAN, SPI, RS 485, Ethernet).• Design special drivers using VHDL for customer projects (converting between different − communication protocols, screen drivers...).• Manage Budgets for NPI development for new projects.• Customers contact (requirements, incidents monitoring).• Planning, control and project management.
R&D Engineer (Software)
• Electronic design of indicators weights, software programming of microcontrollers (8051 family assembler), high-level programming (C (embedded), Visual Basic,MATLAB),design communication protocols (I2C,RS232,CAN,SPI,RS485,Ethernet…). • Budgets developer for new software projects. • Customers contact (requirements, incidents monitoring).• Planning.
Colleagues at JLL
Other employees you can reach at jll.com. View company contacts for 99146 employees →
Devin Ward
Colleague at JllAustin, Texas Metropolitan Area, United States
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Mathew Shenton
Colleague at JllSt Albans, England, United Kingdom
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Nitish Boodhram
Colleague at JllTrou Aux Biches, Pamplemousses, Mauritius
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Miles, Pamela
Colleague at JllUnited States
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Arifin Farouk Azim
Colleague at JllDaerah Timur Laut, Penang, Malaysia
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Raju Rastogi
Colleague at JllDelhi, India
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Paul Mendoza
Colleague at JllMarikina, National Capital Region, Philippines
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JP
Jack Payne
Colleague at JllGreater Melbourne Area, Australia
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Simon Bryce
Colleague at JllSlough, England, United Kingdom
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Suffian Suratman
Colleague at JllAmpang, Selangor, Malaysia
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David Guinart education
Master'S Degree, Business Intelligence And Big Data In Cyber-Secure Environments (Online)
Master'S Degree, Electrical And Electronics Engineering
Master Thesis - Master'S Degree, Electrical And Electronics Engineering
Bachelor'S Degree, Industrial Electronics Engineering
Frequently asked questions about David Guinart
Quick answers generated from the profile data available on this page.
What company does David Guinart work for?
David Guinart works for JLL.
What is David Guinart's role at JLL?
David Guinart is listed as Senior Manager Data Engineering and Analytics at JLL.
What is David Guinart's email address?
AeroLeads has found 1 work email signal at @jll.com for David Guinart at JLL.
Where is David Guinart based?
David Guinart is based in Barcelona, Catalonia, Spain while working with JLL.
What companies has David Guinart worked for?
David Guinart has worked for Jll, Nestlé, Hp, Alstom Transport, and Sensocar Sa.
Who are David Guinart's colleagues at JLL?
David Guinart's colleagues at JLL include Devin Ward, Mathew Shenton, Nitish Boodhram, Miles, Pamela, and Arifin Farouk Azim.
How can I contact David Guinart?
You can use AeroLeads to view verified contact signals for David Guinart at JLL, including work email, phone, and LinkedIn data when available.
What schools did David Guinart attend?
David Guinart holds Master'S Degree, Business Intelligence And Big Data In Cyber-Secure Environments (Online) from Universidad De Valladolid.
What skills is David Guinart known for?
David Guinart is listed with skills including Matlab, Visual Basic, C/C++, Vhdl, Orcad, Pspice, Verilog, and Vlsi.
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