About Luis
I am experienced in data engineering, I am a dedicated professional committed to leveraging technology to drive business success. My expertise lies in designing and implementing robust data pipelines, building scalable infrastructure, and mentoring teams for optimal performance.
Why Choose Me:
Data Engineering Expertise: Demonstrated proficiency in designing and implementing robust data pipelines and workflow management tools across various organizations.
Cloud Platform Mastery: Extensive experience with Amazon Web Services and Google Cloud Platform services including BigQuery, GCS, Compute Engine, Dataflow, Cloud Function, Pub/Sub, S3, Redshift, Athena. Proficient in infrastructure design, development, and deployment of event services.
Technological Proficiency: Skilled in utilizing a wide range of tools and technologies including Docker, Kubernetes, Python, SQL, Airflow, GitHub, Terraform, and more for infrastructure management, data processing, and workflow automation.
Agile Methodologies: Well-versed in Agile methodologies including Kanban and Scrum, adept at fostering collaborative environments and ensuring timely project deliveries.
Leadership and Mentorship: Demonstrated leadership abilities in leading data engineering teams, mentoring junior members, and fostering a culture of innovation and excellence.
Business Intelligence Implementation: Successfully implemented BI tools such as Tableau to empower stakeholders with actionable insights, driving data-driven decision-making processes.
Educational Background: Telecommunications Engineering degree from Universidad de Sevilla.
Results-Driven: Committed to achieving tangible results and exceeding client expectations.
Let's Connect:
I am passionate about leveraging technology to solve complex challenges and drive business growth. Whether you're looking to build scalable data infrastructure or enhance your security measures, I am here to help. Let's collaborate and turn your vision into reality!
Spanish
Native or bilingual
English
Conversational
Catalan
Fluent
Remote only
Primarily works remotely
Experience
- ShopboxPrincipal Data EngineerE-COMMERCEJune 2023 - November 2023 (5 months)Dublin, IrelandWorking as a single data engineer since the Data Team's start-up.Creation data pipeline and workflow management tools for ETL:- GCP: BigQuery, GCS, Compute Engine, Dataflow, Cloud Function, Pub/Sub.Infrastructure design, development and deployment of event service.CI/CD:- Github Actions, Docker, Testing Infrastructure as code:-Terraform
- LandbotData EngineerTECHJuly 2021 - June 2023 (1 year and 11 months)Barcelona, SpainWorking as a single data engineer since the Data Team's start-up.Creation data pipeline and workflow management tools for ETL:• GCP: BigQuery, GCS, GKE, Compute Engine, Dataproc, Datastream, Composer, Cloud Function, Pub/Sub.• Fivetran, Airbyte, StitchData, Segment, Airflow• Python, PySpark Data Warehousing:• DBT, BigQuery, SQLCI/CD:• Gitlab CI/CD, Docker, TestingInfrastructure as code:• Terraform Methodology:• Kanban, Scrum
- Axpe ConsultingData EngineerTECHNovember 2020 - June 2021 (7 months)Madrid, SpainWorking in the data office of a large retail company. Creation data pipeline and workflow management tools for ETL with petabytes of data:• GCP, Azure, Snowflake, Docker, Kubernetes, Python, PostgreSQL, Airflow, GitHub,SQL
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Education
- Ironhack Data AnalyticsIronhack2019- Essential Technical & Data Analysis Skills: Command Line, Git, Python, MySQL, statistical analysis, Pandas, Jupyter Notebook - Advanced Python: Regular Expression; Functional Programming; Lambda, Map, Reduce, and Filter; Error Handling; OOP; Parallelization - ETL Pipeline - Extract, Transform, Load; APIs and RSS Feeds; Web Scraping - Exploratory and Storytelling DataViz with Seaborn, Matplotlib, Plotly, Cufflinks, IPyWidgets... - Inferential Statistics in Python: Hypothesis Testing, Calculating Odds, Bayesian Statistics, Principal Component Analysis... - Business Intelligence with Tableau Pipelinised & Unsupervised Machine Learning: Feature Extraction and Engineering, Model Evaluation, - Applied Data Analysis & Machine Learning: Recommender Systems, Survival Analysis, Time Series Analysis, Network Analysis, Text Mining, NLP...
- Grado de Ingenieria de las Tecnologias de TelecomunicaciónUniversidad de SevillaEnd-of-degree project: -Python, Fiware, Orion Context Broker, REST, RaspberryPi 3B+ -"Aplicación web con Freeboard para la recolección de datos de sensores de acelerómetro y gps mediante Orion Context Broker de Fiware" -Average: 9
Certifications
- 9 Weeks Data Analytics BootcampIronhack2019