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Aníbal Valencia MedinaAV

Aníbal Valencia Medina

Senior Data & Analytics Engineer

€250/day
Sevilla, ES
3-7 years

Average response time: 1 hour

About Aníbal

Senior Data & Analytics Engineer — Energy & Insurance · Oracle/SQL · Python · Power BI/Qlik · ML & LLM

Senior BI/Data Engineer across power distribution and insurance. Founder of Ai4G, where I build production-grade data platforms and AI features for brokers and carriers. I turn Oracle/SQL + Python + Power BI/Qlik into audit-ready analytics—standardized KPIs, validated datasets, and executive dashboards. I also deliver ML (forecasting, anomaly detection, classification) and LLM features (RAG, function calling) that plug cleanly into existing BI stacks. English/Spanish, remote.


Industries: Power Distribution/Utilities, Insurance (Broker/Binder, Agro), Operations Analytics, Regulatory Reporting
Core: Data Engineering, BI, ETL/ELT, Data Modeling, Data Analysis, Data Quality, Audit-ready Reporting, Observability
Databases & SQL: Oracle, SQL Server, PL/SQL/T-SQL, Partitioning, Indexing, MVs, Views
Python & Tooling: pandas, NumPy, scikit-learn, XGBoost/LightGBM, Typer CLI, YAML config, MLflow/DVC
Time Series & Anomaly: SARIMAX/ARIMA, Prophet, Isolation Forest, change-point detection
LLMs & GenAI: GPT/Grok/Gemini/Claude/Llama/Mistral · RAG, embeddings, vector DBs (pgvector/FAISS/Chroma), function calling
BI: Power BI (DAX, Power Query, RLS, performance), Qlik (data model & publishing)
Insurance KPIs: Premium (written/earned), Loss Ratio, Combined Ratio, Claim Cycle Time, Churn/Lapse
Pipelines & Ops: CI/CD, Scheduling/Monitoring, Metadata/Lineage, Alerts, Documentation
Languages: English (professional), Spanish (native)
  • Spanish

    Native or bilingual

  • English

    Fluent

  • Italian

    Basic

Remote only
Primarily works remotely

Experience

  • Ai4G
    Co-Founder
    TECH
    June 2024 - Today (2 years)
    Seville, Spain
    • Lead the development of innovative technological products, from conceptualization to launch.
    • Manage the business strategy, including product development, marketing, and finance.
    • Coordinate a multidisciplinary team to ensure the growth and success of the company.
    inteligencia artificial Python Project Management Gestión de proyectos Gestión de equipos
  • Endesa España
    Sr Business Intelligence Engineer-Técnico Superior Distribución.
    ENERGY AND UTILITIES
    October 2024 - Today (1 year and 8 months)
    Seville, Spain

    Owned Oracle-centric ETL (Python/SQL) with auditability, SLA monitoring, and metadata lineage across environments; reduced refresh failures and broken visuals.
    Designed ML-assisted workflows to validate outage events and standardize practices; cut manual checks and improved data quality for regulatory reporting.
    Lead reliability & operations analytics for the power-distribution grid: built near-real-time Power BI dashboards (DAX) unifying incidents, switching (manual vs. tele-operated), and reliability KPIs (e.g., TIEPI, CAIDI) to drive faster decisions.

    Partnered with grid ops, quality, and audit teams to align definitions and KPIs across territories, enabling consistent cross-area benchmarking.

    Tech: Oracle (SQL/PL-SQL), Python (pandas), Power BI/DAX, Qlik, SAP, Salesforce, versioned ETL & CI.
    inteligencia artificial Python SQL Microsoft Power BI ETL
  • Endesa España
    Business Intelligence Engineer-Técnico Gestor Distribución.
    ENERGY AND UTILITIES
    December 2021 - October 2024 (2 years and 10 months)
    Seville, Spain
    Delivered end-to-end ELT from Oracle/SAP into clean semantic models; stabilized refreshes and improved query time for high-traffic reports.

    Built a portfolio of self-service Power BI reports for operations & quality; enabled non-technical users to track interruptions, durations, and KPI deltas daily.

    Automated event-validation pipelines (Python) and monitoring alerts to catch anomalies before they hit executive dashboards.

    Coordinated internal/external audits with reproducible data extracts and documentation, reducing back-and-forth and audit cycle time.

    Tech: Oracle, Python, Power BI/DAX, Qlik, SAP, SQL best practices (partitioning, indexing), scheduled jobs & observability.

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Education

  • Master of Science - Industrial Engineering
    Universidad de Sevilla
    2021
    Master of Science
  • Bachelor of Science-Industrial Engineering
    Universidad de Sevilla
    2019
    Bachelor of Science

Skill set

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