You're seeing this page as if you were . The main menu is still yours, though. Exit from immersion
Cristopher RojasCR

Cristopher Rojas

AI & Data engineer | Gen AI | Cloud | Big Data

370 €/día
Madrid, ES
3-7 años

Tiempo medio de respuesta: 1h

Acerca de Cristopher

Are you looking to leverage the power of AI and data to drive your business forward? I can help you design and implement cutting-edge solutions in Generative AI, optimize your data processes in cloud environments, and integrate API-based solutions to unlock valuable insights.

My expertise in ETL/ELT processes, combined with my proficiency in tools like Python, SQL, Docker, Apache Spark, Apache Airflow, and cloud platforms such as Microsoft Azure and Google Cloud, allows me to deliver robust and scalable data solutions tailored to your specific needs.

What sets me apart is my proven ability to lead Generative AI model implementations, manage complex data engineering projects, and drive innovation. For example, I have successfully led the implementation of AI solutions with Semantic Kernel and Azure, developed ELT processes in Microsoft Azure and Google Cloud for companies like Abbot Laboratories and J. Garcia Carrion, and created Digital Humans with LLM for fluid conversations with users' customers.

Let's connect and explore how I can bring my passion for AI and data to your projects, delivering tangible results and a competitive edge.


  • Español

    Bilingüe o nativo

  • Inglés

    Competencia profesional completa

Solo teletrabajo
Lleva a cabo sus proyectos principalmente en remoto

Experiencia

  • ERHARDT Serikat
    Backend Python Developer — Budget Automation & ETL
    INDUSTRIA DE LAS MATERIAS PRIMAS
    enero de 2026 - mayo de 2026 (4 meses)
    Madrid, España
    Development and maintenance of REST APIs in Python/Flask to automate annual, quarterly and monthly sales and purchasing budgets for an industrial end-client, integrated with their BI system and SQL Server data warehouse.

    • Design and implementation of REST endpoints (Flask) for budget generation and loading from J2EE/DWH (SQL Server) sources, with Excel output following business templates.
    • Modeling of complex SQL queries over STAGING/TRUSTED schemas (FAP/REP/FCS/FCN): multi-table joins, DENSE_RANK, tonnage-weighted averages, family/subfamily hierarchies and exceptional-supplier rules.
    • Layered architecture (routes / services / db / excel / core) with Pydantic Settings for per-environment configuration (DEV/PROD).
    • Replication and extension of calculation patterns (EXW, TTE, ENV, DAP) ensuring consistency between annual and quarterly periods.
    • Deployment and operations on client Windows VMs (isolated DEV and PROD environments) and production incident diagnosis.
    • Full delivery cycle: technical proposal with estimation, development, smoke tests against real client data, completion report and documented handover.
    • Direct interaction with the client's technical lead: requirements discovery, acceptance criteria validation and formal sign-off of each user story.
    Python SQL Server API REST flask ETL
  • Digittude Technology Solutions SL
    AI & Data Engineer
    VINOS & BEBIDAS ESPIRITUOSAS
    septiembre de 2024 - marzo de 2025 (6 meses)
    Madrid, Spain
    CLIENT: SUNTORY BEAM

    PROJECTS / DEVELOPMENTS:
    - Contributed to the development of AI solutions using Semantic Kernel and Azure, focusing on process orchestration.
    - Managed data collection through the Google Places API and structured it within SQL Server by creating new tables and views.
    - Developed Power BI dashboards to measure the solution's impact and effectiveness.
    Microsoft Azure LLM API REST SQL artificial intelligence
  • IZARE
    Data Engineer
    enero de 2024 - junio de 2024 (5 meses)
    Project Key Points: Data Infrastructure Modernization (IZARE)

    Consulting & Technical Analysis: Assessed existing data infrastructure (Google Drive, QGIS/PostgreSQL DBs) and defined requirements for integration with a CRM and external applications.

    Cloud Architecture Design: Responsible for designing a serverless technical architecture on Google Cloud Platform (GCP) to modernize and centralize the company's data processes.

    Automation Development (ETL): Programmed the automated lead-loading solution in Python, migrating a prototype (Google Collab) to a stateless production environment in GCP.

    GCP Services Implementation: Deployed the solution using Cloud Run and Cloud Functions, orchestrating events via Google Pub/Sub and Webhooks to trigger the data workflow.

    Data Integration & Management: Collaborated directly with the client on data management, access, and database debugging during implementation.

    Final Outcome: Delivered an automated system for lead ingestion into the CRM and a scalable GCP architecture that allows IZARE to efficiently integrate its diverse data sources (real estate, urban planning, and new construction).
    Google Cloud Platform (GCP) Google Cloud Functions Google Big Query Python Integración de datos (ETL, ELT y almacenamiento de datos)

Recomendaciones

Estos perfiles de freelance también coinciden con tus criterios

AgathaA

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

2

BaptisteB

Baptiste Duhen

Fullstack developer

4.6

(4)

5

AmedA

Amed Hamou

Senior Lead Developer

4

(2)

7

AudreyA

Audrey Champion

Web developer

4.3

(3)

4

Formación

  • Master's degree, Data Analytics
    Ironhack
    2020
    Master's degree, Data Analytics - Tools and technologies: Git, MySQL, Python, Pandas, Numpy, Web Scraping, Matplotlib, Seaborn, Scipy, Scikit-Learn, Tableau. - Good development practices: Data cleaning, data manipulation, data interpretation (APIs, Web Scraping), data visualization, Data Pipelines, descriptive statistics, Business Intelligence, supervised and unsupervised learning - Tools and technologies: Git, MySQL, Python, Pandas, Numpy, Web Scraping, Matplotlib, Seaborn, Scipy, Scikit-Learn, Tableau. - Good development practices: Data cleaning, data manipulation, data interpretation (APIs, Web Scraping), data visualization, Data Pipelines, descriptive statistics, Business Intelligence, supervised and unsupervised learning Skills: Data Science · Data Engineering · Git · Logistic Regression · Web Scraping · Tableau · Python (Programming Language) · Natural Language Processing (NLP) · Data Analytics · Convolutional Neural Networks (CNN) · Anaconda · SQL
  • Bachelor of Engineering
    Universidad de Concepción
    2009
    Bachelor of Engineering - BE, Industrial Engineering Civil Industrial Engineer, Universidad de Concepción Subjects as : - Project Evaluation and Management - Quality Management and Six Sigma - Logistic Management - Operations research - Planning and scheduling of production - Financial management - Process simulation - Advanced Statistics Civil Industrial Engineer, Universidad de Concepción Grade: Approved with Maximum Distinction. Grade 6.0 of 7.0Grade: Approved with Maximum Distinction. Grade 6.0 of 7.0 Activities and societies: - Participation in a student center - Drummer in a band - Basketball, capoeira, taekwondo Skills: Project Management · Data Analysis · Negotiation · Machine Learning · Microsoft Excel · Lean manufacturing · Statistics · Microsoft Office · Business Process Improvement

Certificados

Conjunto de habilidades profesionales

Categorías