Alejandro Marcano Van Grieken, back to top

Alejandro Marcano Van Grieken · Madrid, Spain

DataEngineer.

Data Analyst / Product Owner / AI Developer / Instructor

Explore workLet's talkRésumé

Intro
Data Engineer @ Aditelsa

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01About

Hi, I'm Alejandro.

Data professional with a strong background in data engineering, AI, and automation, with experience across startups, consultancies, and freelance work, specializing in translating business requirements into scalable data products. Experienced Product Owner managing projects from MVP to production-ready AI solutions. Passionate about teaching, sharing knowledge through training, articles, and tech events.

Ranked first position in the Systems Engineering graduating class.

Résumé GitHub LinkedIn
DEVELOPER ID AM
Portrait of Alejandro Marcano Van Grieken

Alejandro Marcano Van Grieken

Data Engineer

ID No.
AMVG-2019
Dept.
Data Engineering
Experience
7 years
WHAT I AM AM

In short.

  • 01Data Engineer — Aditelsa, client Indra Minsait
  • 02Software Engineering · GPA 17.28/20 · 100% merit scholarship
  • 03Product Owner, from MVP to production-ready AI solutions
  • 04Fabric ETL & Data Warehouse · AI Complaint Clustering · Data Quality Program
  • 051st in class · Thesis Honorable Mention · 2nd, JOBarcelona
Alejandro MarcanoIf found, say hello · dataconale@gmail.com

Quick facts

Location
Madrid, Spain
Education
Software Engineering · Universidad Metropolitana, Caracas
Current
Data Engineer · Aditelsa (client: Indra Minsait)

Translating business requirements into scalable data products.

— from my profile

02Skills

The periodic table of my stack.

56 elements from my résumé, grouped into 7 families. Hover or focus a tile to inspect it.

03Selected work

Things I've built.

Deliverables from my roles, in my résumé's words. The interfaces on the right are illustrative sketches, not screenshots.

  • 01 Aditelsa — Client: Indra Minsait · 2025

    Fabric ETL & Data Warehouse

    Designed and implemented end-to-end ETL processes in Microsoft Fabric, migrating legacy architecture into a modern cloud ecosystem.

    • End-to-end ETL in Microsoft Fabric
    • Legacy architecture → modern cloud
    • Data Warehouse architecture models
    • Centralised ingestion & transformation layers
    • Built for scalability and governance
    • Epics, tasks & subtasks in JIRA / Confluence
    Microsoft FabricETLData WarehouseJIRAConfluence

  • 02 Procesia Consulting — Client: INE · 2023–2025

    Excel → Modern Stack Migration

    Directed the migration of legacy processes (90% Excel-based) to modern stacks (Python, SQL, Airflow).

    • Manual Excel workflows reduced by 90%
    • Report delivery: from days to hours
    • Requirement gathering with stakeholders
    • Business needs → data-driven solutions
    PythonAirflowJIRAConfluence

  • 03 Crowdfarming · 2022–2023

    AI Complaint Clustering

    Built an AI-powered clustering solution for user complaints using Generative AI (LLMs, OpenAI API, n8n workflows).

    • Generative AI (LLMs)
    • OpenAI API
    • n8n workflows
    • Clustering of user complaints
    LLMsOpenAIn8n

  • 04 Crowdfarming · 2022–2023

    Data Quality Program

    Improved data consistency from 60% to 98% by developing a data quality program reconciling MongoDB and PostgreSQL sources.

    • Data consistency: 60% → 98%
    • MongoDB ↔ PostgreSQL reconciliation
    • Database reporting in PostgreSQL
    • Delivered with Tableau and Streamlit
    MongoDBPostgreSQLTableauStreamlit

  • 05 InnovativeGX · 2020–2022

    Data-Driven Apps & Report Automation

    Led full-cycle development of data-driven applications as both PM and Developer using Django, Flask, Linux Servers.

    • Automated JasperServer reports
    • Patient delivery time cut by 90%
    • Manual work cut by 80%
    • Snowflake for genetic datasets
    • Query time reduced by 40%
    • PM and Developer, full cycle
    DjangoFlaskLinuxJasperReportsSnowflake

  • 06 Vikua · 2018–2020

    BigQuery Warehouse & Predictive Models

    Built a Data Warehouse in BigQuery using Cloud Functions and Looker Studio for GCP data visualization.

    • Predictive models: regression & classification
    • Public transport data
    • scikit-learn and Keras
    • Agile/SCRUM methodologies
    • Chatbot with Google Dialogflow
    BigQueryGCPLooker Studioscikit-learnKerasAgile / SCRUM

  • 07 Thesis · Universidad Metropolitana · 2019

    Facial Recognition with CNNs

    Thesis: “Facial Recognition Using Convolutional Neural Networks”, Honorable Mention.

    • Convolutional Neural Networks
    • Facial recognition
    • Honorable Mention
    • Software Engineering thesis

04Community

Off the clock.

Running, training and the communities around them, plus the websites I build for them. Hover a window to scroll through the real site.

05Experience & education

The path so far.

Education and roles on one line, oldest first. The spine draws itself as you scroll.

  1. 2015Sep 2015 – Dec 2019
    Education

    Software Engineering

    Universidad Metropolitana, Caracas

    • GPA: 17.28/20 — 100% scholarship for academic merit
    • Thesis: “Facial Recognition Using Convolutional Neural Networks”, Honorable Mention
    • Ranked first position in the Systems Engineering graduating class
  2. 2018Jun 2018 – Jul 2020
    Experience

    Data Scientist and Product Owner

    Vikua · hybrid in Venezuela

    • Built a Data Warehouse in BigQuery using Cloud Functions and Looker Studio for GCP data visualization
    • Developed predictive models (regression and classification) with scikit-learn and Keras on public transport data
    • Applied Agile/SCRUM methodologies and created a chatbot using Google Dialogflow
  3. 2020Jul 2020 – Jul 2022
    Experience

    Python and SQL Developer

    InnovativeGX · remote

    • Led full-cycle development of data-driven applications as both PM and Developer using Django, Flask, Linux Servers.
    • Automated JasperServer reports, cutting patient delivery time by 90% and manual work by 80%
    • Integrated Snowflake for cross-referencing genetic datasets, reducing query time by 40%
  4. 2020Sep 2020 – Jul 2021
    Experience

    Instructor

    Universidad Metropolitana and CultureLab · freelance, remote

    • Conducted Fundae-sponsored corporate training in Python for Data Analysis, Advanced Python, and BigQuery
    • Taught university courses in Mathematics I, Algorithms & Programming, and Database Administration
  5. 2022Jul 2022 – Dec 2023
    Experience

    Product Data Analyst / Engineer

    Crowdfarming · hybrid in Madrid

    • Built an AI-powered clustering solution for user complaints using Generative AI (LLMs, OpenAI API, n8n workflows)
    • Improved data consistency from 60% to 98% by developing a data quality program reconciling MongoDB and PostgreSQL sources
    • Delivered database reporting in PostgreSQL with Tableau and Streamlit
  6. 2023Dec 2023 – Mar 2025
    Experience

    Data Product Owner

    Procesia Consulting — Client: INE · remote

    • Reduced manual Excel workflows by 90%, cutting report delivery times from days to hours
    • Directed the migration of legacy processes (90% Excel-based) to modern stacks (Python, SQL, Airflow)
    • Led requirement gathering with clients and stakeholders, translating business needs into data-driven solutions using JIRA and Confluence
  7. 2025May 2025 – Present
    Experience

    Data Engineer

    Aditelsa — Client: Indra Minsait · Madrid

    • Designed and implemented end-to-end ETL processes in Microsoft Fabric, migrating legacy architecture into a modern cloud ecosystem
    • Built a Data Warehouse architecture models to centralize ingestion and transformation layers, ensuring scalability and governance
    • Worked with JIRA and Confluence to structure epics, tasks, and subtasks, improving project clarity and delivery
  8. Next

    Next stopYour team?

    Let's talk

06Achievements

Proof, in numbers.

  • 01 / 07

    2nd Place, JOBarcelona Hackathon

    Camp Nou, JOBarcelona, NUWE · Jun 2022

    One-day hackathon using Python, TensorFlow, scikit-learn, pandas, Streamlit, and Graphext

    2nd

  • 02 / 07

    First in class

    Universidad Metropolitana · 2019

    Ranked first position in the Systems Engineering graduating class

    1st

  • 03 / 07

    GPA

    Software Engineering · Universidad Metropolitana

    100% scholarship for academic merit

    17.28/20

  • 04 / 07

    Manual Excel workflows

    Procesia Consulting — Client: INE

    Cutting report delivery times from days to hours

    −90%

  • 05 / 07

    Data consistency

    Crowdfarming

    Up from 60%, reconciling MongoDB and PostgreSQL sources

    98%

  • 06 / 07

    Patient delivery time

    InnovativeGX

    Automated JasperServer reports — manual work down 80%

    −90%

  • 07 / 07

    Query time

    InnovativeGX

    Integrated Snowflake for cross-referencing genetic datasets

    −40%

07Contact

Write to me

dataconale@gmail.com
+34 632 52 43 05GitHub LinkedIn