Portfolio — 2026 000
Sergi Garriga Mas
sergigarriga9@gmail.com · Barcelona, Spain
Open to data engineering work Barcelona, Spain
I turn scattered data into systems people can actually rely on.
Data Engineer and System Analyst working on the corporate data platform at Boehringer Ingelheim. I design pipelines, integrate sources and keep the platform usable for the teams that build on it.
Boehringer Ingelheim, knowmad mood, PortAventura World, Universitat Autònoma de Barcelona, La Salle — Ramon Llull, ENEB, Python, AWS, Airflow, dbt, Snowflake, Spark, Docker, Terraform, PostgreSQL
01 About
A pipeline nobody can operate is not a pipeline — it is an incident waiting for a calendar slot.
I graduated in Data Engineering and Information Technology at the Universitat Autònoma de Barcelona and moved straight into pharma, where data has to be traceable, reproducible and auditable before it is allowed to be clever.
Since 2022 I have worked across the whole lifecycle at Boehringer Ingelheim: ingestion and ETL on AWS, orchestration with Airflow, modelling with dbt and SQL, and the documentation and enablement that decides whether any of it survives contact with real users.
As the platform SME I sit between the business and the engineering: I translate requirements into technical designs, onboard new data projects, and support the onboarding agents and support engineers who keep the day running.
Outside work I build things end to end — a hybrid-car analytics pipeline, an Arduino drone, an AWS ingestion stack — because owning a system from raw source to dashboard is the fastest way to find out what you do not yet understand.
Good data engineering is invisible: the number is right, it is on time, and nobody had to ask why.
02 Stack
Grouped by where they sit in a system rather than by hype: what moves the data, what expresses the logic, what runs it, and where it lands.
Built to be handed over
Documented, monitored and explainable — so the next engineer can operate it without reading my mind.
03 Experience
Four years across pharma IT and analytics, from trainee to platform subject matter expert.
01 Aug 2024 — Present
Boehringer Ingelheim / Sant Cugat del Vallès, Spain — Hybrid
Subject matter expert for the corporate Data Platform: the person new data projects come to before they build, and when something breaks after they have.
02 Sept 2023 — Aug 2024
knowmad mood — Boehringer Ingelheim IT / Sant Cugat del Vallès, Spain — Hybrid
Designed and shipped the pipelines and services behind the IT department’s data products.
03 Dec 2022 — Sept 2023
Boehringer Ingelheim / Sant Cugat del Vallès, Spain — Hybrid
First contact with production data work: the cleaning, loading and ticket queue that everything else rests on.
04 Jul 2022 — Sept 2022
PortAventura World / Salou, Catalonia, Spain
Analytics inside the Data Department of one of Europe’s largest resorts.
04 Projects
Personal projects, each taken from raw source to something you can actually look at.
A pipeline from raw trip logs to a web dashboard with Python, Pandas and Streamlit: cleaning, fuel-efficiency and consumption metrics, basic forecasting, cost comparisons, and an AI API layer that explains what the numbers mean.
20% fuel cost saving identified
A scalable pipeline that ingests, processes and analyses data from multiple sources using Python and AWS — S3, Lambda, Glue — orchestrated with Apache Airflow and landing in a dashboard.
Multi-source ingestion, orchestrated
A working drone built from scratch on an Arduino Uno with assembled components and hand-written flight control logic. The project that made hardware and software integration click.
Hardware / software integration
05 Education
An engineering degree in data, plus business and supply chain training on top of it.
Feb 2025 — Present La Salle Campus Barcelona — Ramon Llull University
End-to-end management of supply chains, from procurement and logistics through to distribution and strategy.
May 2024 — Oct 2024 ENEB — Escuela de Negocios Europea de Barcelona
Business administration, big data methodologies and business intelligence applications.
Sept 2020 — Jun 2024 Universitat Autònoma de Barcelona
Data governance, cleaning, analysis and visualisation with Python and SQL; machine learning applied to real problems; statistics; cloud computing and big data with AWS and Spark.
06 Certifications
Cloud, orchestration and analytics engineering — the parts of the stack I work in daily.
dbt Labs
Amazon Web Services
Amazon Web Services
Astronomer
Udemy
IBM — Coursera
IBM — Coursera
Writing
Articles on data engineering and the career around it, published on Medium.
Beyond the Classroom: How Hackathons Catapulted My Engineering Career (And Can Yours Too!) Hey fellow and aspiring engineers! Studying engineering?
Beyond just getting from A to B, our cars generate a wealth of data.
07 Contact
Data platform work, pipeline problems or a role you think fits — the form reaches me directly.
Usually replies within 48 hours