noël.
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DATA ENGINEERING · BARCELONA, SPAIN

Hello, I'm Noël Mérida.

Complex data.
Clear systems.

I have 6+ years of experience working with SQL-based data systems, extraction, automation and monitoring. Today, I’m bringing that foundation into modern data engineering.

Explore selected work GitHub
Grounded in production data work. Curious about what comes next.
PROJECT / 001✳
pipeline_run.log● validated
01# weather_data_pipeline
02run_date = "2026-10-31"
03cities = 10
04hourly_records = 240
05
06$ airflow tasks
✓ extract_weatherSUCCESS
✓ load_weatherSUCCESS
✓ dbt_runSUCCESS
✓ dbt_testSUCCESS
11# 4 / 4 tasks completed
RELIABLE BY DESIGN
ETL / ELT ↗
SQL · DATABASES · AUTOMATION · DATA PIPELINES SCROLL TO EXPLORE ↓
SQL✦PostgreSQL✦Python✦Apache Airflow✦dbt✦AWS S3✦Docker✦Elasticsearch✦SQL✦PostgreSQL✦Python✦Apache Airflow✦dbt✦AWS S3✦Docker✦Elasticsearch

01 / SELECTED WORK

Proof, not
just promises.

Hands-on projects that show how I design, build, test and explain data workflows.

✳FEATURED PROJECT / 2026
PERSONAL · DATA ENGINEERING

Weather Data
Pipeline01

An end-to-end batch pipeline that collects weather observations, keeps raw data in S3, transforms records with dbt and orchestrates the workflow in Airflow.

PythonAWS S3PostgreSQLdbtAirflowDocker
AIRFLOW / ORCHESTRATIONVALIDATED RUN ↗
Airflow DAG with four completed tasks

PROJECT INSPECTOR / 01

01. Orchestration

Four connected tasks execute extraction, ingestion, transformation and quality checks in order.

Actual screenshots from the project. Not a live dashboard.

10CITIES
240HOURLY ROWS / DAY
4/4DAG TASKS PASSED
View source on GitHub↗
NEXT EXPLORATION

Spain Weather Explorer

Planned extension: a nationwide interactive map and weather insights by municipality. Not built yet.

02 / TOOLKIT

Built on a strong
foundation.

A clear distinction between tools I have used professionally and technologies I am developing through independent projects.

01PROFESSIONAL FOUNDATION

SQL, databases
& data operations

Database querying and optimization, ETL support, Bash automation, monitoring and troubleshooting in operational environments.

SQL / PL/SQLPostgreSQLMySQLElasticsearchKibanaGrafanaBash
02HANDS-ON PROJECT WORK

Modern data
engineering pipelines

Building and testing containerized workflows with Python, AWS S3, PostgreSQL, dbt and Apache Airflow through independent projects.

Python / PandasAirflowdbtAWS S3DockerGitData quality

03 / EXPERIENCE

Data work is
real work.

My background comes from maintaining and improving systems where reliability, query performance and correct data matter.

SEP 2018 — JAN 2025

Data Engineer @ SHS Consultores

Worked with SQL/PLSQL, PostgreSQL and the Elastic Stack, supporting extraction, transformation, operations, monitoring and data quality.

Optimized queries and Elasticsearch indices.Automated extraction and health checks with Bash.Supported integrations and validated analytical data flows.
2026

Independent learning & projects

Developed a complete weather data pipeline as a practical study in orchestration, cloud storage, dbt modeling, reproducibility and testing.

04 / ABOUT

More than
a tech stack.

I like understanding what happens between the source and the final answer: where data can go wrong, how to detect it, and how to build something dependable.

My path started with databases, operational automation and troubleshooting. I'm now focused on applying those skills to end-to-end data engineering workflows with clear models, tests and documentation.

BASED INBarcelona, Spain
EDUCATIONASIR · STUCOM
CURRENT FOCUSData Engineering

05 / CONTACT

Have a data problem worth solving?

Let's build
something solid.

Interested in Data Engineering opportunities, technical conversations and meaningful projects.

Send an email↗LinkedIn ↗GitHub ↗