About Ricard
With 8+ years of experience across 15+ projects, I offer:
• Data Engineering: Robust pipelines, architectures, and KPIs
• Software Engineering: Scalable APIs, microservices, Python & SQL
• Tech Leadership: Project roadmaps, team building, stakeholder communication
Proven track record in fintech, retail, and cybersecurity.
Let's transform your data and software capabilities!
Catalan
Native or bilingual
Spanish
Native or bilingual
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- ZynapTeam Lead Data/IASOFTWARE PUBLISHINGSeptember 2024 - Today (1 year and 9 months)Barcelona, Spain- Lead the creation of a complex AI-agents that build complex cybersecurity workflows- Refactored and optimized critical codebases, enhancing efficiency, maintainability, and security.- Improved system performance by 67.5% by implementing Elasticsearch, significantly reducing query times compared to MongoDB.- Designed and built a high-scale ingestion platform, processing 1B+ records/month while ensuring high availability and optimal read speeds.- Deployed AI models on local infrastructure, enabling teams to leverage LLMs for processing highly sensitive data securely and efficiently.
- BitpandaData EngineerTECHFebruary 2023 - September 2024 (1 year and 6 months)Barcelona, Spain- Led the implementation and adoption of dbt in Bitpanda, impacting several teams within the company. By the end of Q2 2024 4 teams have dbt on their toolkit, empowering them to create their own data models owning their own data.- Coached 3+ team members and managed 1 intern. Reduced the time to create the fifth MR from 6 weeks to 3 weeks.- Created +50 ingestion jobs that run in a daily or hourly basis fetching data to Bitpanda's data lake from internal and external sources.- Oversaw the implementation of new practices that improved reliability and observability of the data platform (secret isolation in astronomer, masking policies in terraform, etc)- Contributed to the first AI products of Bitpanda attending the Bitpanda Hackathon on June of 2023. Created an MVP for a LLM based project.
- INDITEXData Engineer / Tech LeadRETAIL (LARGE RETAILERS)August 2022 - February 2023 (6 months)Working in the Sustainability Area of Inditex, contributing to create fashion, innovating and increasing Inditex efficiency in order to make a positive difference for people and the planet. Contributing to create new data objects with millions of records that are used for different teams at Inditex for taking data-driven decisions. Working with Kimball’s approach.
Reviews
Erik-Jan
Feedback Company
Reviewed on 10/27/2022
Ricard was a pleasure to work with and the communications were always open and good. I would work with him on future project without a doubt.
Fabio
Stylib
Reviewed on 9/13/2021
Excellent collaboration with Ricard, always on time and adding value on tangential topics.
Great communication and eagerness to help and push the project forward. We'd definitely work with him again!
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Education
- Master in Innovation and Research in Informatics - Data Science and Machine LearningUniversitat Politècnica de Catalunya2019Official European Master at Universitat politècnica de Catalunya, focused on innovation and research. Specialization: Data Science and Machine Learning. Thesis: Travel time forecasting using probe vehicle data on freeways. Grade: 9.5 Subjects did: -Algorithmic Methods for Mathematical Models -Data Analysis & Knowledge Discovery -Data Warehousing -Statistical Modeling and Design of Experiments -Techniques and Methodology of Innovation and Research in Informatics -Multivariate Analysis -Open data -Machine Learning -Algorithmic for Data Mining -Concurrence, Parallelism and Distributed Systems -Viability of business projects -Information Retrieval -Kernel-Based Machine Learning and Multivariate Modeling -Bioinformatics and statistical genetics
- Bachelor's degree in Computer Engineering.Universitat Politècnica de Catalunya2017Thesis: Machine Learning with H2o and R: A Big Data problem. Grade: 8.5.
Certifications
- Certificate in Advanced EnglishUniversity of Cambridge2018
- Applied Machine Learning in PythonCoursera2018