Experience

• ● Design and building a highly secure and reliable ForwardKey Data Architecture on the Cloud which takes care of running the Data ETL (Extraction Transformation and Load), applying severe data quality controls in order to be ingested in all the data provisioning tools such as Druid (Real Time analytics DB), and AWS Data Services, Athena, RDS, RedShift, Dinamo DB and S3 Buckets. ● Design Data models to be included in different DataWarehouse (RedShift, Druid, etc), according to the business logic. ● Design and implement a microservice-oriented infrastructure using Dockers and Kubernetes as a services orchestration in both, on premise and in the AWS Cloud ecosystem. This infrastructure is used in two directions to offers services such as MINIO (On Prem S3), Mongo, Kafka, ElasticSearch, HDFS, Jupyter, Dremio, etc.) for applying the data analysis and to serve Forwarkeys data applications for clients. ● Design and Development of a highly scalable Serverless architecture using AWS lambda functions to handled daily data delivers to clients using Cross Account Buckets, SFTP, pay-requester buckets, etc. ● Applying strategies to optimize the Python data ETL using Spark and HDFS, and to include all the data test controls and data ingestions using the CI/CD pipelines to be accessed by clients through the data lake. ● Organize and coordinate infrastructure tasks using agile methodologies, based on the different products and clients’ needs. Show less



• Full Professor in the Data Science Bachelor program of the following topics: ● Big Data Fundamentals (Docker, Spark, HDFS, Cloud Computing) ● Object-Oriented Programming (Python)



• ● Design, build and coordinate the technical tasks (Main researcher during 2017-2019) of the Radiatus Project (https://www.iti.es/proyectosidi/proyecto-radiatus-big-datanube/). This is a public budget financed project and the main objective was focused on developing a robust and scalable Big-Data architecture as a Services over a Cloud infrastructure. ● Analyse, evaluate, and integrate Big Data stacks such as Apache Spark, Flink, Kafka, Neo4j, Cassandra, ElasticSearch, HDFS, MPI, TensorFlow, etc., as a service into the E-cloud infrastructure. These services stacks are mainly developed using Docker technologies. ● Design and integrate multi-platform cloud services using Hybrid Clouds to provide clients with an easy and robust interface to deploy services. ● Develop Data Pipeline using GitLab-CI to test the components, services, and deployment of the Radiatus Architecture. ● Participate in the design and development of the User Interface of the Radiatus Tool which allows deploying Big-Data services interacting with the cloud in a transparent manner. Show less



• 1) Developing an image reconstruction algorithm (MLEM) for medical devices using GPU computing (CUDA) under C++ and C#. 2) Optimizing the software for medical image reconstruction using parallel techniques.



• 1) Development of computational optimization processes using OpenMP and GPU for econometric models, specifically for SYMBOL, which is a tool that estimates the losses deriving from bank defaults on the European Union area. 2) Design of a web execution interface to execute different econometrics model transparently to the user. 3) Integrating new optimization technique to Dragonfly tool, which is parallel tool that allows users to parallelize matlab/octave codes using diverse computing platforms. 4) Developing a parallel implementation of different slice algorithms for univariate and multivariate for dynamic mixture models using OpenMP, MPI and CUDA. 5) Applying hybrid parallel implementation for different econometrics models in C, C++, Python and Fortran. Show less



• Associate professor for computer sciences students in the following topics: 1) Computer fundamentals 2) Computer structure 3) Modeling and simulations



• 1) Working on the optimization process in the I/O for the SCALASCA application using the Juropa cluster and IBM Jugene number 24 and 9 in the top500 list. 2) Integration of a Scalable I/O library for parallel access to task-local files into SCALASCA for the OpenMP, and hybrid codes support. 3) Inclusion of C and C++ modules for monitoring and tuning the SCALASCA tool for I/O support. 4) Execution and optimization of SPMD codes for both (Juropa and Jugene) multicore architectures.



• Assistant professor for students of computer science in the following topics : 1) Digital programming 2) Introduction to programming 3) Object oriented programming C + +.