FAVFrancisco Álvarez Varas

Master's in Big Data & Cloud · EDEM 2025-2026

A year of building, from Docker to Vertex AI

Three team Data Projects, a hackathon, a thesis with a real company and hands-on practice in every module. This is the full journey, with the code I can show.

Milestones

  1. 2026 · Q1

    Data Project 1 · Air quality in Valencia

    Real-time ingestion, dbt transformations every five minutes, Telegram alerts and Grafana dashboards. Recognised as the top team of the cohort.

    PostgreSQLdbtFastAPIGrafanaDocker
  2. 2026 · Q2

    Data Project 2 · CloudRISK, serverless pipeline on GCP

    Geolocated game over the 87 neighbourhoods of Valencia built as a streaming pipeline. I owned backend, Terraform and CI/CD.

    Pub/SubDataflowFirestoreBigQueryTerraform
  3. 2026 · Q2

    Data Project 3 · EDEM Student Hub

    Virtual campus with a conversational agent on Google ADK and Gemini, Cloud SQL and Vertex AI Vector Search, deployed to Cloud Run with Terraform and GitHub Actions. Backend and architecture.

    FastAPIGeminiCloud SQLVertex AIGitHub Actions
  4. 2026 · Q2

    GFT Hackathon

    One day, assigned teams, a 100% Google Cloud challenge automated with generative AI and zero lines of manual code. Agile method and final pitch.

    GCPGenAIAgile
  5. 2026 · May

    International experience · Google, London

    Three days at Google's King's Cross campus with the master's cohort: product, engineering and data culture from the inside.

    GoogleCloud
  6. 2026 · Q3

    Thesis · Employee churn prediction for Quantia

    Layered data lake in BigQuery with Dataform, NLP on Slack messages and an interpretable model on Vertex AI, with a retention dashboard in Looker Studio. Defended in July 2026.

    BigQueryDataformVertex AILooker StudioTerraform

Practice by module

Exercise repositories, one per technology. The ones still private will open soon.

  • SQL and NoSQLView repo ↗
    PostgreSQL · MongoDB

    13 guides and about 140 solved exercises in notebooks on Docker.

  • Pythonprivate
    Python · Jupyter

    13 guides from basics to AI with 169 exercises.

  • PySparkprivate
    Spark SQL · optimización

    Spark SQL and performance notebooks, with a graded exercise.

  • Kafkaprivate
    Kafka · KSQL · Kafka Connect

    Producers, consumers and streaming with KSQL.

  • dbtprivate
    dbt · modelado

    Models, tests and docs on PostgreSQL.

  • Airflowprivate
    Airflow · DAGs

    Orchestration DAGs with operators and sensors.

  • Terraformprivate
    Terraform · GCP

    Modules, remote state, Cloud Run and Pub/Sub as code.

  • Serverless on GCPprivate
    Cloud Run · Functions · Dataflow

    Serverless processing and streaming with Apache Beam.

  • APIsprivate
    FastAPI · requests

    Consuming and publishing REST APIs.

  • Data governance and qualityprivate
    ydata-profiling · reglas

    Profiling, cleaning and quality rules on real data.

  • AWS and Azureprivate
    S3 · Glue · Data Factory

    End-to-end storage and processing on the other two clouds.

  • Snowflakeprivate
    Snowflake · SQL

    Cloud warehouse: loading, roles and queries.

Contact

Let's talk

I'm looking for an Analytics Engineer or Data Analyst role in Valencia or remote. Drop me a line and I'll reply the same day.