Resume
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Resume

summary = ''' I am a software engineer based in Madrid with a Bachelor's degree in Computer Engineering from Universidad Complutense de Madrid. With 4 years of experience in the software industry, I have primarily focused on data engineering and backend development. In addition, I have a strong interest in machine learning and have completed several projects in this field over the years. I am dedicated to continuous learning and strive to gather feedback to improve my skills and knowledge. I am passionate about improving the developer experience for others and have made it a priority in my work. Throughout my career, my main role has been in data engineering, where I have gained extensive experience in designing and implementing data pipelines, developing data models, and ensuring data quality. '''

☎️ Contact information

📧 andres.ortiz.xyz@gmail.com

👨🏽‍💻 Work experience

Data Engineer - Clarity AI, Madrid, Spain – (Jan 2021 - Present)

Data Engineer - Backend Developer
 
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role = ''' At Clarity AI, I served as a Data Engineer and Backend Developer in the team responsible for creating a new product to help the company collect and analyze data. As a Data Engineer, my main responsibility was to create, maintain, and productize the necessary data pipelines to run the platform and deliver the collected data. I also collaborated with the team to design and implement data models that fit the requirements of the product. In addition to my data engineering responsibilities, I was also responsible for creating and maintaining core backend services that were close to the business logic and data. This included designing and implementing APIs and microservices to support the platform's functionality. As part of the developer experience team, I improved notification services and other tools to streamline the overall development process for the data engineering team. Specifically, I optimized the CI/CD pipelines, reducing the time required for data ingestion and processing. This improvement resulted in faster and more efficient data processing and allowed the data engineering team to work more efficiently and with greater ease on a daily basis. '''
Tech Stack
Languages & Frameworks : Python, Pandas, Dask, FastAPI, Pytest, CloudEvents spec
Deployment and automation : Airflow, Kubernetes, AWS, GitLab CI, Docker, OpenAPI
Databases and Storage : MongoDB, PostgreSQL, AWS S3, Redshift, Snowflake
Cloud Services : AWS Event Bridge, AWS SQS, AWS QuickSight, AWS Codeartifact, EC2
Monitoring: Datadog, Slack

Data Engineer - The Cocktail, Madrid, Spain – (March 2019 - Jan 2021)

Data Engineer - Cloud Architect
 
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role = ''' As a Data Engineer and Cloud Architect at a consultancy company, I was responsible for designing and executing projects for multiple clients across various industries, including banks, retail companies, and product companies. This role allowed me to be flexible and adapt to different project requirements, ensuring that I could deliver value to each client. One project I participated in was for a retail company, where we unified worldwide in-store and online stock to achieve increased optimization of shipping routes and product selection for buyers. I also contributed to a project for a real estate company, where we built a machine learning model and back-end service to run predictions for house pricing. Another project I worked on was for a bank, where we designed and created a new data warehouse to store and analyze marketing campaigns. In addition, I contributed to a project for an insurance company, where we built a predictive model to evaluate car insurance policies and determine if the user met the requirements. In summary, my role as a Data Engineer and Cloud Architect at a consultancy company allowed me to work on a variety of projects for multiple clients, applying my skills and expertise to deliver value and solve business problems. '''
 
Tech Stack
Languages & Frameworks : Python, FastAPI, Spark, Flask, Pandas, JsonSchema
Deployment and automation : GitHub, Azure DevOps, BitBucket, DataProc, AWS CodeArtifact, AWS CloudFormation
Databases and Storage : CosmosDB, Azure Blob Storage, Google Cloud Storage, BigQuery, AWS S3
Cloud Services : Azure Functions, Google Compute Engine, Google Cloud Functions, AWS Lambda
 
 
 

📚 Education

Bachelor's Degree in Computer Engineering

 

🪧 Projects

  • Inference time Optimization on a machine learning model using OpenVINO and deployment of the model in a cloud environment - 2020 GitHub - Official print
  • Python framework to manage your dotfiles - 2022 GitHub
  • Simple zsh console theme - 2022 GitHub