Daniel Alba / Barcelona metropolitan area
Full career
Over twenty years in software: from custom application development to enterprise data platforms, cloud architecture, and applied AI.
A continuous path starting in business application analysis, development, and on-site rollouts, moving into project management at Serhs Tourism and eight years leading Data & BI projects at FC Barcelona (via atSistemas), and reaching current technical leadership at evoluxia building SaaS platforms on AWS and applied AI solutions from scratch in both R&D and production. This view brings together every stage, responsibility, and technology stack.
Earlier-stage tools and platforms are also included to show the full technical and management evolution, while day-to-day work today focuses on AWS cloud architecture, Java microservices, Next.js, and applied AI.
This document covers the complete professional career. For a specific role, you can view or download the version focused on Data & BI, Project Management, or Tech Lead.
Featured projects
Business need on the table, role in the project, and delivered solution.
01Integration / Present
Cornerstone customization and integration platform
- Context
- The starting point when joining evoluxia was clear: build an AWS platform from scratch to customize Cornerstone and connect it with payroll and other enterprise systems far beyond standard capabilities.
- Contribution
- Conception and construction of the platform from scratch: AWS architecture design for distributed Java and Maven microservices, shared libraries, and event-driven workflows, alongside development of core services, REST APIs, and Lambda integrations.
- Delivery
- Customization through JavaScript and Google Tag Manager, batch and event-driven pipelines distributing the employee golden record from Cornerstone, and evolution toward custom pages and full Next.js and Amplify applications.
- Impact
- Delivered a clear commercial differentiator as a Cornerstone partner and became the foundation on which standalone applications and AI solutions were later built.
Cornerstone / Java / Maven / Microservicios / Event-Driven / AWS Lambda / API Gateway / Google Tag Manager / Next.js / AWS Amplify
From platform customization to standalone applications
Evolution of a shared technical foundation
Platform conceived from scratch to expand technical reach as an implementation partner.
- 01
Customization
Cornerstone adaptation through JavaScript managed via Google Tag Manager.
- 02
Integration
AWS Lambda services, REST APIs, and batch processes using Cornerstone as the employee golden record.
- 03
Applications
Development of custom pages and Next.js applications on Amplify, both integrated and standalone.
- 04
Applied AI
Evolution toward proprietary AI solutions across client projects and R&D pilots.
02FC Barcelona / Data / BI / 2014–2022
Corporate data warehouse and analytics dashboards
- Context
- At FC Barcelona there was no shared data platform: each department relied on its own silos and it was common to find multiple conflicting sources for the same indicator.
- Contribution
- Project leadership from scratch: discovery sessions with each department to map sources, architecture definition with the team (Oracle for the data warehouse, PowerCenter for ETL, and Qlik for analytics), and delivery coordination with autonomy reporting directly to the IT Director of Data.
- Delivery
- Corporate data warehouse and analytical dashboards for commercial, HR, medical services, sports, and retail departments, validated with key users through formal UAT and sign-off.
- Impact
- Transition from scattered silos to a trusted platform recognized with the CIONET Mejor Data Intelligence 2020 award. User confidence in the data showed immediately: departments began requesting new evolutions and expanding the initial pilots.
Qlik Sense / QlikView / PowerCenter / Oracle / ETL / Jira
Indicators and process
- Connected sources
- 74
- Scope of data source integration.
- Dashboards & reports
- 57
- Suite of executive dashboards and operational reports.
- Business areas
- 6
- Departments working on top of a shared data foundation.
- Active users
- ≈80
- Approximate volume of active users on the platform.
From raw source data to business adoption
Moving from departmental silos to centralized data validated with business teams.
- 01
Discovery
Discovery sessions with departments to identify silos, duplicate sources, and real operational needs.
- 02
Integration
Construction of the Oracle data warehouse and PowerCenter ETL pipelines to centralize information.
- 03
Analytics
Development of Qlik dashboards for commercial, HR, medical services, and retail areas.
- 04
Validation
User acceptance testing (UAT) and sign-off with key users, expanding initial pilots based on demand.
03FC Barcelona / Data / BI / 2014–2022
Commercial dashboard and seat availability forecasting
- Context
- The commercial department tracked sales in separate Excel spreadsheets and needed a single place to see both sales pace and seats expected to become available.
- Contribution
- End-to-end project leadership side by side with business and engineering teams, combining commercial tracking with a forecasting model for seats released by club members.
- Delivery
- Dashboard integrating sales tracking, seat inventory management, and availability forecasting linked to member seat releases.
- Impact
- The commercial team moved away from standalone Excel sheets to check sales and expected seat availability in a single dashboard, validating each delivery directly with key users.
Qlik / PowerCenter / Oracle
From scattered Excel sheets to sales and seat availability in one dashboard
Seat release forecasting for sales planning
Commercial tracking and expected seat availability, validated directly with key users.
- 01
Source data
Collection of historical sales and season-ticket holder seat releases.
- 02
Forecasting
Calculation of seats released by members and expected availability for ticket sales.
- 03
Commercial view
Unification of sales, seat inventory, and availability forecasts in a shared dashboard.
- 04
Validation
Review of each delivery side by side with key users from the commercial area.
04HR Tech / Present
Curriculum management, merit scoring, and AI validation
- Context
- The client project required an application capable of managing curricula and supporting documents, reviewing merits, and scoring candidates across selection calls without bottlenecking the team in manual checks.
- Contribution
- Conception and development of the complete application from scratch beyond the AI component: curriculum model, call configuration, scoring engine, integrations, and review inbox.
- Delivery
- Configurable CV by sections, fields, and profiles, merits with attachments, calls, rubrics, and rankings, alongside CVN import and enterprise system integration. AI compares the document against the declared merit using a configurable prompt and critical fields.
- Impact
- The similarity percentage guides the reviewer, but it is not a merit score or an accreditation guarantee. A person makes the final decision without AI accepting or rejecting anything on its own.
Next.js / Java / Maven / Microservicios / Aurora PostgreSQL / OCR / Document AI / AWS Bedrock / APIs HRIS
From curriculum management to AI-assisted document review
AI-assisted documentary evidence and final human decision
The similarity percentage supports the reviewer: it is not a merit score or an accreditation guarantee.
- 01
Configuration
Definition of the CV model, calls, scoring rubrics, prompt, and critical review fields.
- 02
Documentation
Registration of the declared merit together with its supporting document.
- 03
AI check
Document extraction, comparison against the declared merit, and similarity percentage calculation.
- 04
Human decision
Final human validation of the documentation, with scoring runs and candidate rankings.
05AI / Present
AI document and label comparator
- Context
- A client needed to eliminate manual character-by-character checks between versions of product labels and technical sheets without losing control over what went to print.
- Contribution
- Design and construction of the solution from scratch based on that client need, covering both OCR and AI extraction and the subsequent human validation workflow.
- Delivery
- Document comparison with OCR and AI, structured field-by-field differences, change history, and human review before approving any version.
- Impact
- The project is live in production.
Next.js / Amazon Textract / AWS Bedrock / Aurora PostgreSQL / AWS Amplify
Document comparison in production
From two document versions to a traceable review
Client solution built from scratch, always with final human validation.
- 01
Documents
Upload of the current product label or technical sheet and the new candidate version.
- 02
OCR & AI
Text extraction and structured comparison of the documentary content.
- 03
Differences
Field-by-field change detection and logging in the review audit trail.
- 04
Validation
Human review of the detected differences before approving changes.
06AI / Present
Enterprise AI agents platform
- Context
- Within evoluxia's R&D (I+D) line, a clear need emerged for a well-crafted proprietary product foundation adaptable to multiple AI use cases without rebuilding the architecture for every client.
- Contribution
- Conception and development of the complete core product, defining for each use case what objective the agent pursues, how it must respond, and which criteria pass internal UAT.
- Delivery
- Skills-configurable platform supporting interactive and background agents, scheduled or event-driven, connected to enterprise systems.
- Impact
- Pilots already presented to clients within the company's R&D (I+D) line, designed to evolve into a commercial product.
Next.js / Event-Driven / AWS Bedrock / AgentCore / MCP / Aurora PostgreSQL / CDK
AI agents tailored to each use case
- Customization
- Skills
- Behavior adaptable to each client's operational needs.
- Execution modes
- 2
- Interactive chat agents and autonomous background agents.
- Product stage
- R&D
- Pilots presented to clients within evoluxia's R&D (I+D) line.
- Internal validation
- UAT
- Goals and expected responses verified per use case.
From business goal to agent behavior
Complete core product, conceived and developed from scratch.
- 01
Objective
Definition of the problem the agent solves and the expected response.
- 02
Skills
Configuration of capabilities, rules, and enterprise connections required for the use case.
- 03
Execution
User conversation or background execution triggered on schedule or by events.
- 04
Internal UAT
Verification of agent behavior against the pilot's acceptance criteria.
07Custom software / Present
Personal training and health assistant
- Context
- The goal was to build an end-to-end personal training and health product, applying the same architecture rigor and care as a commercial SaaS platform.
- Contribution
- Complete design and build of the web application, native iOS and Apple Watch apps, data model, cloud sync, and visual identity.
- Delivery
- Session tracking, training load metrics, goals, notes, and contextual AI analysis, paired with an anonymous public demo featuring real workouts.
- Impact
- A live product in daily use whose public demo can be opened directly without login to explore anonymized real sessions.
Next.js / TypeScript / Supabase / Swift / iOS / HealthKit
Open live demo↗
Other projects
Additional solutions and experience built across the career.
08Custom software / Present
Central kitchen and menu operations
- Context
- The kitchen and dietetics team needed to stop juggling disconnected tools to plan menus and organize daily operations.
- Contribution
- Project leadership for a custom application bringing nutritional planning, dish catalog, and daily kitchen operations into a single environment.
- Delivery
- Menu planner with nutritional calculation, cost and allergen control, recipe catalog, and direct export to Excel and PDF.
Next.js / TypeScript / Aurora PostgreSQL / AWS Amplify / CDK
09HR Tech / Present
Performance evaluations and development reports
Application for managing performance reviews and generating development reports: role-person fit, assessment results, org chart, and individual development plans (IDP) ready in PDF for HR.
Solution development
- Comparative role-person fit views and 360-degree evaluations.
- Integration of assessment results (profiles and competencies) in a unified record.
- Org chart mapping, functional mobility, and integrated individual development plans (IDP).
- Full PDF report generation for HR and team leads.
Next.js / Java / Maven / AWS Lambda / DynamoDB / PDF (Playwright) / AWS Amplify
10Training / Present
Subsidized corporate training management
End-to-end platform for managing subsidized training: courses, groups, official XML communications, attendance, certificates, auditing, and credit tracking by profile.
Project leadership
- Course and group management with XML file exchange for the official public platform.
- Attendance tracking, certificate issuance, and questionnaires with external trainer access.
- Available credit tracking, operational alerts, and audit traceability.
- Corporate SSO access and multilingual support.
Next.js / Java / Maven / AWS Lambda / Aurora PostgreSQL / Bedrock Converse / Knowledge Base / MCP
Professional experience
April 2022 – Present
evoluxia
Tech Lead
The initial challenge at evoluxia was building the Cornerstone customization and integration platform on AWS from scratch and evolving it into Java and Maven microservices, event-driven architecture, and full Next.js and Amplify applications, both integrated with Cornerstone and standalone. The current role covers leading the development area: defining architecture and standards (SOLID), prioritizing with the team, testing strategy, and working directly in the code on applications and AI solutions.
- Coordination of engineering teams and management of scope, planning, and deliveries using sprints and Kanban tailored to each project.
- Definition of distributed Java (Maven) microservices architecture and event-driven workflows on AWS, applying design patterns, SOLID principles, and unit, API, and user acceptance testing (UAT).
- Conception and development of the core product for an R&D (I+D) AI agents platform, with pilots presented to clients and internal UAT per use case, plus a client document comparator in production.
- Design and development of SaaS products and B2B/B2E portals using Next.js, React, TypeScript, Tailwind CSS, and Java microservices with Maven.
- Distributed microservices architecture and event-driven workflows on AWS serverless (Lambda, API Gateway, S3, DynamoDB, Secrets Manager, Aurora PostgreSQL/RDS, Textract, Bedrock, and CDK), with deployments on Vercel and AWS.
- Definition of architecture standards, design patterns, and SOLID principles, shared Java libraries, and unit, API, and user acceptance testing (UAT).
- Development of well-crafted HR Tech solutions: curriculum evaluation, merit scoring, onboarding, training, document automation, and operational portals.
- Integration with Cornerstone, Microsoft SSO, Jira, InfoJobs, Sesame, Twilio/WhatsApp, Stripe, ERP/CRM, and REST APIs.
- Integration of generative AI and OCR into real business workflows using Bedrock, Gemini/Vertex AI, OpenAI, Textract/Document AI, NotebookLM, and MCP servers.
- Design of asynchronous jobs, ETL pipelines, Excel/PDF imports, validations, synchronizations, and data models for business-critical systems.
- Deployment coordination, secrets management, DEV/PRO environments, automation scripts, and cloud operations.
- Translation of business needs into clear technical solutions: analysis, architecture, implementation, and continuous product evolution.
Java 21/25 / Maven / Microservices / Event-Driven Architecture / SOLID / Unit & API Testing / Next.js 14/15/16 / React 18/19 / TypeScript / Tailwind CSS / PostgreSQL/Aurora / DynamoDB / AWS Lambda / API Gateway / S3 / Secrets Manager / Textract / Bedrock / CDK / Vercel / Docker / REST APIs / OAuth/SSO / OpenAI / Gemini/Vertex AI / MCP / NotebookLM / Make / Microsoft Copilot Studio
May 2014 – April 2022
atSistemas
DW-BI Project Manager
Leadership of data and BI projects with Qlik, PowerCenter, and Oracle ADF. Eight years as Data Project Manager at atSistemas, with the position carried out entirely at FC Barcelona.
- Coordination of technical teams and discovery sessions across departments to identify data silos and sources.
- Direct reporting to the IT Director of Data, with autonomy in decision-making and user acceptance testing (UAT) with key users. Project recognized with the CIONET Mejor Data Intelligence 2020 award.
- COR: technical management of the club's sports and medical management system.
- FCBme: project management of the mobility app for players and coaching staff.
- Corporate data warehouse: leadership of the unified platform for sports, commercial, and HR data.
- Definition of the data warehouse model and ETL processes feeding the analytical layer.
- Development of commercial and departmental dashboards (sports, medical, and HR) in Qlik Sense and QlikView.
- Qlik Sense administration and definition of Qlik development standards.
- Definition of data quality policies agreed and validated with internal departments.
- Project recognized with the Mejor Data Intelligence 2020 award (CIONET).
JDeveloper 11g y 12c / J2EE / Oracle ADF / Jira / Oracle / Webservices / Hybreed (movilidad) / QlikView / Qlik Sense / PowerCenter
January 2020 – September 2021
OBS Business School
Lecturer — Master in Big Data and Analytics
Teaching the Data Governance module in the Master in Big Data and Analytics.
- Instruction on data governance, data quality, and practical methodology for analytics professionals.
Data Governance / Big Data / Analytics
August 2008 – February 2014
Serhs Tourism
Project Manager
Full-cycle management of the hotel wholesaler platform: from hotel contracting and inventory loading to XML distribution of bookings and travel packages.
- 2008–2011: analysis and development of the wholesaler management portal in Oracle ADF and J2EE with dynamic forms.
- 2011–2014: project management, frontend team coordination, and systems architecture definition.
- Internal travel wholesaler operations and online hotel booking distribution.
JDeveloper 11g / Oracle / XSLT / J2EE / ADF / WebLogic / PowerDesigner
.NET / ABAP Analyst Programmer
ABAP development for SAP projects and coordination of .NET developments at client sites.
- ABAP programming and functional training support for SAP implementations.
- Management of .NET (ASP.NET / C#) developments for consulting deliveries at client companies.
- Team coordination.
- End-to-end project lifecycle management.
- Warehouse management systems.
ASP.NET (C#) / Visual Studio 2003/2005 / SQL Server 2000 / CASE Studio 2 / Stored procedures SQL Server / JavaScript / HTML / DHTML / SAP ABAP
Operations Consultant / Analyst Programmer
Internal corporate software development and operational rollouts across group casinos.
- Application development for group companies and tracking of third-party rollouts.
- Rollout and training for the GIC casino management system, including cage and slot machine operational support.
- Casino cage operations (24-hour and fixed shifts).
- Slot machine accounting and reconciliation.
- Analysis and rollout of jackpot systems.
- Floor incident management and resolution.
Delphi 5.0 y 7.0 / Java / ASP / Oracle / Interbase / PL/SQL / Model Maker
September 1999 – June 2003
S2 Servicios Informáticos
Analyst Programmer
Custom software development for end clients, working in coordination with account project managers.
- Development of business management applications using Visual Basic, Delphi, ASP, and DNA / COM+ architecture.
- Delphi component development and database integration across SQL Server, Oracle, Informix, Interbase, Paradox, and AS/400.
Visual Basic 5.0 y 6.0 / Delphi 5.0–7.0 / VBA / COM+ / DCOM / Arquitectura DNA / ASP / JavaScript / VBScript / HTML / DHTML / SQL Server / Oracle / Informix / Interbase / Paradox / AS/400 / CASE Studio 2 / Stored procedures SQL Server
February 1998 – June 1998
ABB
Systems Support
Technical user support, network administration, and backup management.
- User support, equipment installation, hardware repair, network administration, and server backup management.
Windows NT / Lotus Notes (usuario) / Networking
January 1997 – December 1997
Binsa
Programmer
Development of business and production management applications, functional analysis, and user support.
- Visual Basic development, Crystal Reports generation, and on-site client installation.
Visual Basic 4.0 y 5.0 / Crystal Reports / MS Access
Skills and tools
AI in production
- AWS Bedrock (Converse, Agents, KB)
- OCR Textract / Document AI
- RAG / embeddings
- MCP servers
- OpenAI / ChatGPT (integration)
- Gemini / Vertex AI
- NotebookLM (workflow)
Engineering & cloud operations
- Next.js / React / TypeScript
- Java / Maven
- Microservices & Event-Driven Architecture
- AWS Lambda + API Gateway
- Aurora PostgreSQL
- DynamoDB
- Unit, API & UAT Testing
- CDK
- Vercel
- OAuth / SSO
Technical leadership
- Technical direction & active development in code
- Architecture, design patterns & SOLID
- Team mentoring & coaching
- End-to-end product delivery
- HR / ERP / SaaS integrations
Earlier career
- Qlik Sense / QlikView
- ETL / PowerCenter
- Data Governance (teaching)
- Oracle ADF / J2EE
- ASP.NET / C#
- SAP ABAP
- Delphi / Visual Basic
Languages
English
Conversational, working proficiency.
Education
Higher VET Diploma (CFGS) in Business IT (Specialist Technician · FP II)
CE Vidal i Barraquer
1996 – 1999
Additional training
ThePower Business School
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