Martín Izquierdo Email & Phone Number

Bruselas, Región De Bruselas, Bélgica

Bruselas Y Alrededores

- ETL pipelines design to using PySpark in Databricks platform to supply Delta tables from JSON format data- ETL pipelines design with the stack of Cloudera distribution using tools like Spark SQL, HBASE, Kafka and Nifi- Use of Impala to exploratory data analysis in HDFS- Template design NiFi templates to provide data based on a data model provided by data analysts

Pozuelo De Alarcón Y Alrededores, España

- Development of ETL processes for the retail sector on the Microsoft Azure Cloud in order to provide information to Data Scientists using Spark with Java in Databricks- Development of the architecture of an orchestrator of pipelines executions using tools provided by Microsoft Azure Cloud, these tools are Datafactory and LogicApp (Terraform and ARM templates)- Use and dump of information in csv format in Azure Data Lake Storage Gen2 from the scheduled execution of Spark Jobs- Use of EventGrid and EventHub for communication of events from different resources (Terraform and ARM templates)- Management continuous integration and continuous deployment with AzureDevops- Use of Sonarqube to control the quality of the code- Creation and consumption from PubSub Google Cloud Platform topics of streaming events in XML format from an OMS- Development of ETL processes for data in the retail sector using Apache Beam and Dataflow framework through the creation of Java applications on Google Cloud Platform that receive data in XML format- Insert data in the NoSQL MemoryStore (Redis) database using Redis Map data structures- Performing Unit Tests with JUnit and beam-java-sdk-test

Madrid Y Alrededores, España

- Development of ETL processes using Kafka deployed on Amazon AWS instances as the data center, the ETL processes were performed using the Kafka Streams library and Spark Streaming- Data consistency anomaly alerts using Elastic Search and Kibana- End to end data flow control with Apache Nifi deployed on Amazon AWS instances- Deployment of the Kafka Streams applications in a Kubernetes cluster using Docker images all this on the AWS Amazon Cloud- Using Artifactory as a repository to make Docker images available to the Kubernetes cluster- Development of Spark Streaming applications with the objective of performing ETL operations on a Cloudera On Premise cluster- Using HDFS command to find information in an HDFS cluster- Work on RabbitMQ messaging queues to deliver the information to Spark applications and a Cloudera cluster- Development of Java applications to parse the information that is extracted from Flume- Connection with S3 for cold storage of raw information from cybersecurity services

Madrid Y Alrededores, España

Development of web pages for small companies and content management to improve the SEO performance of web sites

Burgos, España

Máster En Data Science & Big Data:Architecture, Information Technology

This Master is developed from a hands-on point of view: from the storage and processing of the data and the architectures used.

Developer Training For Spark And Hadoop, Training For Linux, Phyton, Scala, Spark And Sql

Training for Sqoop, working with RDDs, Kafka, Flume, SparkStreaming, Hive, Impala, Pig, Hadoop Data Procesing...

Big Data Analyst, Computer Software And Media Applications

Activities and Societies: Training for Big Data Analysttraining for SQL, Pig, Hive, Impala, Hue, Linux...

Ciberseguridad En Redes, Network And System Administration/Administrator

En este curso abordamos dos temáticas la digitalización en la empresa y la Ciberseguridad ambas temáticas vistas desde el punto de vista.

Tecnico Superior En Gestion De Ventas Y Espacios Comerciales, Marketing/Marketing Management, General