• Coca-Cola 
• Bacardi 
• Randstad 
• Coty/Benkiser 
• Oracle 
• Nielsen

• Clouds: Google Cloud Platform and Azure - Data Engineering, Machine Learning, and Analytics.
• Professional Certifications In Google Cloud, Databricks, and Azure.
• Python Data Expertise: Spark, Airflow, Pandas, Matplotlib, Seaborn, Scikit Learn, TensorFlow.
• SQL Expert: Query, Windowing, Partitioning, and Optimization techniques.
• Business Intelligence Development Tools (PowerBI, Data Studio, Tableau), CRM Salesforce, Google Analytics 360, and Bigquery Expert. VBA for Excel and App Scripts for Google Suite
• ETL/ELT/Orchestration Tools: DBT | Dataflow (Beam), Fusion, Dataprep | Databricks | Data Factory | Dataform| Alteryx, Pentaho | DAG: Airflow and Google Workflow | Ingestion Frameworks: Fivetran, Rivery
• Trainer/Mentor of Junior IT & Analyst in Data Clouds (Google, Azure), ELT Pipelines (ELT, DBT, Data Factory) & Machine Learning.

• International Team Management Expertise: Agile methodologies. Scrum Master and Product Owner in Data Projects in remote and asynchronous communication environments.
• Profound technical understanding of Master Data Management, Data Modelling Techniques, Governance, and Data Life Cycle.
• Data-driven Senior Manager. Expertise in transforming raw data into key findings for actionable insights and business actions: Segmentation, Causal Inference, A/B test, and Forecasting.
• Project Management Skills: search for financing, budget control, business requirements, and stakeholder management reporting.
• Discovery of business processes to automate with AI (Machine Learning and Deep Learning).
• Strategic Decision Intelligence Design: Metrics, Reports, Data Analysis, Dashboards, and Automatization.
• Business Roles for increasing excellence and effectiveness in Revenue Growth Management and Sales & Marketing operations

SKILLS

• Business, Teams & Projects
• Entrepreneurial mindset 
• Problem-Solving 
• Passion for data 
• Deep vision for integrating Machine Learning and Data Engineering capabilities in business processes 
• Communication Skills 
• Data-Driven Strategy
• Product Owner 
• Team Management 
• Business Strategy 
• Project Management 
• Agile Methodologies 

Data Methods

• Technical Analytical and Insights Visualization Skills 
• Data Governance and GRPD 
• Data Wrangling
• Database Query 
• Segmentation 
• Forecasting 
• Causal Inference 
• Econometrics & Statistics 
• Simulation & Process Optimization 

Related to AI Projects

Conversational Analytics: At Info2data com, I am working on an AI Agent solution for Data Analytics discovery in environments with a high diversity of data sources scalable to more than 400 hundred analysts. This requires connecting to and orchestrating multiple systems like Bigquery, Vertex Search (RAG), Relational Databases (PostgreSQL), and Files (Storage, Drive), using Cloud Workflow to feed Chat Assistants built with ADK (Agent Development Kit) framework, mirroring the goal of having agents retrieve, combine, analyze, and generate insights across various applications. This work included developing a Model Context Protocol (MCP) backend using FastAPI to connect with Relational Databases. Bioinformatics Master?s Degree Capstone Project: AI Conversational Analytics Agent to interact with Clinical/Hospital databases based on the OMOP CMD Standard Knowledge Base & Search Retrieval (Vector Databases): At Randstad Global, I led initiatives for RAG (Retrieval Augmented Generation) for Search Business KPIs and applied Generative AI to data governance and data discoverability, utilizing tools like Google Search AI. This involved building and orchestrating structured/unstructured datasets/documents ready for RAG and Search consumption, ensuring content is searchable and retrievable from curated sources. Because a huge part of the data came from Human Resources (curriculum vitae, etc) the area of data protection, anonymization was a key factor in the final solution. Data Pipelines design for Chat/Agent assistants: The last two projects required to build the data pipelines specifically toprovide context/metadata information to the assistants for them to use the proper tool/function that brings the numeric data in the way that the agent/chat requires (inside the main prompts, added prompts, etc). The technology used to create the pipelines is the usual: Dataflow, PubSub, Airflow, Cloud Workflow, Bigquery Dataform/DBT, plus the Vector Databases (Vertex AI Vector Search or the function included in bigquery, postgress, etc). In some of the cases, the pipelines are also required to change some API specifications to adapt the current definition to the capabilities of the chat.

SUMMARY

• AI Data Engineer | Expert in building and orchestrating structured/unstructured datasets/documents and data pipelines & processes ready for advanced analytics, machine learning, and AI Agents (LLM/RAG/Search) consumption.
• Python API Developer | Google Cloud Professional Technical Certifications
• Privacy and Data Security Expert: GDPR | Data Governance, Lineage and Quality Processes | PII
• High Soft Skills:
• • Stakeholders-Business-Technology Translator. Product Owner and Mentoring.
  • Global Multinational Environments: Randstad | Coca-Cola | Bacardi | Coty | Oracle | Nielsen
  • 100% Business Solutions Oriented.

Data Governance and Evaluation of AI Systems:

• Data Life Cycle and Modelization: Profound technical understanding of Master Data Management, Data Modelling Techniques, Governance, and Data Life Cycle.
• Data Governance - Evaluation & Quality: Expertise in data profiling, validation, and LLM Evaluation implementation strategies to ensure accuracy, completeness, and consistency across diverse datasets
• AI Observability & Compliance: Log Traceability of AI actions, responses and use of sources and tools.
• Data Security: Experience in Secure Data Governance (GDPR/PII), Unified Identity Access, Lineage techniques for masking PII data, Differential Privacy, and Data Residency requirements.
• Pipeline Design: Expert in building and orchestrating datasets and processes ready for advanced analytics, machine learning training and AI Agents (LLM/RAG/Search) knowledge consumption.

Team and Business Oriented

• International Team Management: Agile, Scrum Master, Product Owner (Data Projects).
• Project Management: Stakeholder Management, Business to Technical Requirements Translation.
• Business Process Automation Design: Discovery, Solution Design, and Implementation.
• Data Governance: GDPR, PII, Security, Privacy Masking, and Data Traceability and Lineage.
• Business-Oriented Solutions: Raw Data to Actionable Insights or process automation.

Tools and Coding Skills:

• Programming & APIs: Proficient in Python for data engineering and machine learning, including PySpark, Beam, Pandas, Matplotlib, Scikit-learn, Keras/TensorFlow, and developing REST APIs
• LLM/Generative AI: Expertise in LLM Model selection based on accuracy and cost optimization, prompt design, RAG (Retrieval Augmented Generation) and search datasets, Agent Development Kit (ADK), fine-tuning models, and optimizing inference.
• Google Cloud: Proficient in Google Cloud ML, Vertex AI tools, including Vertex AI Workbench, Training, Prediction, ML Pipelines (TFX / Kubeflow), AutoML and Explainable AI.
• Agent Orchestration: Agent Development Kit (ADK), LangChain | MCP (Model Context Protocol)
• Databricks: Proficient in Databricks Lakehouse Platform, Delta Lake, MLFlow and Spark for AI and data engineering workflows, over Azure Cloud Environments : Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Foundry Models and Azure AI Search.
• Databases: Extensive experience with Snowflake, BigQuery, Cloud Spanner, Bigtable, Cosmos DB, Synapse, Oracle, MS-SQL, PostgreSQL, AlloyDB, MySQL, MongoDB, and Elasticsearch
• SQL Expertise: Advanced skills in SQL querying, windowing functions, partitioning, and query optimization techniques.
• ETL /ELT & Orchestration: Skilled in DBT, Dataflow (Beam), Databricks (Pyspark), Dataform, Alteryx, Pentaho. Proficient in DAG orchestration tools like Airflow and Google Workflow. Experienced with ingestion frameworks such as Fivetran and Rivery, and event streaming platforms like Pub/Sub and Kafka
• CI/CD & Infrastructure: Proficient in Cloud Run, Docker, Terraform, Jenkins, Gitlab CI, and GitHub Actions for continuous integration, continuous delivery, and infrastructure as code.
• Business Platforms: SAP, Salesforce, Workday, Microsoft Dynamics 365
• File Formats: Proficient in working with various big data file formats, including Parquet / Delta, ORC, Avro, Iceberg, JSON, CSV, and XML, and usual business data formats like Microsoft Excel or Google Spreadsheets sources.
• Business Intelligence & Analytics: Proficient in Business Intelligence Development Tools (PowerBI, Data Studio, Tableau), CRM Salesforce, Google Analytics 360, and BigQuery. Experienced in VBA for Excel and App Scripts for Google Suite