Acerca de Cristopher
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Competencia profesional completa
Experiencia
- ERHARDT SerikatBackend Python Developer — Budget Automation & ETLINDUSTRIA DE LAS MATERIAS PRIMASenero de 2026 - mayo de 2026 (4 meses)Madrid, EspañaDevelopment 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.
- Digittude Technology Solutions SLAI & Data EngineerVINOS & BEBIDAS ESPIRITUOSASseptiembre de 2024 - marzo de 2025 (6 meses)Madrid, SpainCLIENT: SUNTORY BEAMPROJECTS / 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.
- IZAREData Engineerenero 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).
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Formación
- Master's degree, Data AnalyticsIronhack2020Master'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 EngineeringUniversidad de Concepción2009Bachelor 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
- Microsoft Certified: Azure FundamentalsMicrosoft2022