Malt welcome

¡Bienvenido al perfil Malt de Alejandro !

Malt te da acceso a los mejores talentos freelance para tus proyectos. Ponte en contacto con Alejandro para hablar de tus necesidades o busca otros perfiles en Malt.

Alejandro Fernández

Data Engineer | Data Analyst | IT PMO
  • Tarifa aproximada
    300 € /día
  • Experiencia3-7 años
  • Tasa de respuesta100%
  • Tiempo de respuestaAlgunos días
El proyecto se dará por comenzado una vez hayas aceptado el presupuesto de Alejandro.
Localización y desplazamiento
Localización
Madrid, España
Trabajo a distancia
Lleva a cabo sus proyectos principalmente en remoto
Verificaciones

Código de conducta freelance firmado

Consultar el código
E-mail verificado
Influencia
1Seguidores
6Repositorios
0Gists
Idiomas
Categorías
Estos perfiles también corresponden a tu búsqueda
Agatha FrydrychAF

Agatha Frydrych

Backend Java Software Engineer

Baptiste DuhenBD

Baptiste Duhen

Fullstack developer

Amed HamouAH

Amed Hamou

Senior Lead Developer

Audrey ChampionAC

Audrey Champion

Web developer

Conjunto de habilidades profesionales (10)
Sector de especialización
Alejandro en pocas palabras
𝑩𝒊𝒈 𝑫𝒂𝒕𝒂 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓.

➤ Data Engineer/Analyst with background in banking, assurance and Real Estate firms.
💻 𝐇𝐚𝐫𝐝 𝐒𝐤𝐢𝐥𝐥𝐬: DWH, Datamart, Data Integration and BI suite development (both cloud and on-premise solutions), Project Management and BPM.
🎯 𝐒𝐨𝐟𝐭 𝐒𝐤𝐢𝐥𝐥𝐬: Focused, proactive, analytical and result-driven.

🛠️ Data analysis fields of expertise: Fraud, credit, project management, finance, hardware & software, insurance policies.

🔎 Areas of interest: Data Processing, Cybersecurity, AI, Blockchain.

Developed critical thinking to implement the correct data pipeline according to each business case and concerned about security in data management. I feel comfortable working in a team, I sincerely believe that sharing knowledge in an effective way can significantly increase performance.
Experiencia
  • Transunion
    Data Engineer
    BANCA & SEGUROS
    octubre de 2022 - Hoy (2 años y 3 meses)
    - 𝐃𝐚𝐭𝐚 𝐜𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐩𝐫𝐞𝐩𝐚𝐫𝐚𝐭𝐢𝐨𝐧: data wrangling and integration process implementation within the correct formatting according to the data validation requirements by the business units.
    - 𝐄𝐱𝐭𝐫𝐚𝐜𝐭, 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦, 𝐚𝐧𝐝 𝐥𝐨𝐚𝐝 (𝐄𝐓𝐋): pipeline definition and roadmap compliance (BPM).
    - 𝐃𝐚𝐭𝐚 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐢𝐧𝐠 (𝐃𝐖𝐇): data normalization, data governance, and a second data cleaning for the data quality requirements.
    - 𝐃𝐚𝐭𝐚 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠: Data Marts, schemas, and catalog implementation acording to the security standards (variables anonimization).
    - 𝐃𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬: statistical analysis and data mining procedures for the machine learning fraud models.
    - 𝐃𝐚𝐭𝐚 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Power BI administrator (architect, profesionals and consumer roles management), dashboards and visualizations development within the fraud storytelling and infographics company context.
    - 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐦𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞: data projects in charge of support and automate some business processes and tasks.
    Google Cloud Platform PL/SQL Data Pipeline Oracle Database DWH Datamarts Microsoft Power BI Python Talend Microsoft Azure
  • Cedeco
    Data Consultant & Instructor
    EDUCACIÓN & E-LEARNING
    agosto de 2022 - junio de 2023 (10 meses)
    - 𝐋𝐞𝐬𝐬𝐨𝐧 𝐩𝐥𝐚𝐧𝐧𝐢𝐧𝐠: development of specialized teaching methods such as lectures, group works, and hands-on activities.
    - 𝐂𝐥𝐚𝐬𝐬𝐫𝐨𝐨𝐦 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: positive and productive learning environment by the establishing clear expectations, rules and procedures, and managing student behavior.
    - 𝐀𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭𝐬: quizzes, exams, projects, and presentations.
    - 𝐂𝐨𝐚𝐜𝐡𝐢𝐧𝐠: help students define their professional path in the world of data.
    SQL Microsoft Power BI Microsoft Powerpoint
  • Santander Global Tech
    Oficina CIO | IT PMO & Big Data Analyst
    BANCA & SEGUROS
    enero de 2020 - noviembre de 2022 (2 años y 10 meses)
    - 𝐃𝐚𝐭𝐚 𝐜𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧: Collect data from a variety of sources (up to 50+) such as databases, parquet files...
    - 𝐃𝐚𝐭𝐚 𝐜𝐥𝐞𝐚𝐧𝐢𝐧𝐠: Clean and organize data to remove errors and inconsistencies (validation, formatting, normalization).
    - 𝐃𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬: cost controlling (Up to 10M+ Budget) and management of the bank software licensing analytical products and phisical infrastructure for all the regions: APAC, EMEA, LATAM and NA (Up to 15+ companies of the group and 50+ projects involved).
    - 𝐃𝐚𝐭𝐚 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: development of 2 final end-user dashboards. Up to 16+ analytical products analyzed (Bancware, Business Objects, Elastic Search, Essbase, Linkurious, Microstrategy, Modellica, Nprinting, Opvision/Opdata, Power BI, Powercenter, Qliksense, Qlikview, Raudis, SAS, Talend...). Up to 10+ component types and 2000+ CIs analyzed: Logical servers, Computer Servers, Application Servers, Web Server, Databases, Database Instances, Products, Transactionals, Hypervisors.
    - 𝐃𝐚𝐭𝐚 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠: Up to 10+ business and technical objectives achieve including servers resizing, software product licensing, products end of life; data lake error corrections, user authorization flow definition, E2E cost component monitoring, CIs mapping (Technical Service & Business Service), component incompatibility detection.
    - 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧: share the results to the main stakeholders in a clear and concise way (CIO, Platform Engineers, Project Managers, TOs)
    Data Wrangling Service Now Data Modelling Data Integration Microsoft Power BI SQL
Recomendaciones externas
Formación
  • Bachelor of Computer Science
    Universitat Carlemany
  • Master's degree in Finance & Banking
    UNIR - La Universidad en Internet
    2022
  • Bachelor of Business Administration and Management
    UNIVERSIDAD REY JUAN CARLOS
    2020
  • Big Data Bootcamp
    Telefonica Technological Institute
    2021
  • Bachelor of Business Administration and Management
    Stillman College
    2015