
Computer Engineer with 20 years of experience in software development and over 6 years specialized in Data Engineering within Big Data environments (Cloudera, Spark, Hive).
AWS Certified Developer – Associate (2022, renewed in 2025) and AWS Certified Data Engineer – Associate (2026), complementing previous hands-on experience in AWS cloud projects.
Experience in enhancing and optimizing data pipelines using Spark SQL, performance tuning, platform upgrades, and integration with data lakes (HDFS, S3). Strong background in production support, including batch process failure analysis, root cause identification, and implementation of solutions to ensure operational stability.
Interested in roles that combine solid Big Data expertise with modern cloud architectures on AWS.
Multicanalidad - Unicaja:
Aquaplus - Banco Santander: Developing big data workflow, including validations, transformation and business process with Spark SQL, data persisted in HDFS and S3. Big data platform for analysis of the credit risk of Wholesale Banking clients. Main feature: Manages socioeconomic information and financial statements for the analysis of the solvency situation of a financial institution.
Technological environment: Spark, SparkSQL, Scala, Java, hdfs, S3, Hue, Hive, Impala, Control-m.
Day One - Banco Santander: Developing big data pipeline, including ingestion raw data from data lake, validations, transformation and business process with Spark, data persisted in HDFS and S3. Calculation of metrics for Day one PL, reserves and accrual operations.
Technological environment: Spark, SparkSQL, Scala, Java, hdfs, S3, Hue, Hive, Impala, Control-m.
MOI - Banco Santander: Developing and implementing transformation jobs with Spark and automate data pipelines using Apache Airflow for the reporting system of the Middle Office and sales teams of Santander Bank.
Technological environment: Java 8, Python 3, Hive, Azure databricks, Spark, Airflow, S3, Github, Jenkins.
Medusa Project - Banco Santander: Analysis, development and testing of Banco Santander's liquidity management system, Big data platform based on Apache Flink, Kafka and Spring Java application.
Technological environment: Java 8, Spring, IntelliJ, Github, MQ queues, Flink Job, Kafka, Schema Registry, Ververica, OpenShift, Oracle, Hazelcast and S3.
Quantia - Banco Santander: Developing and implementing AWS cloud-based big data solution.
Technological environment: Lambdas, S3, EC2, ELB, DynamoDB, Cloudwatch, SQS, ECS, ECR, IAM, EKS and Terraform. Monitoring AWS infrastructure and services with Grafana and Elastic Search, API and Lambdas backend development with Python 3. Web development with react js, deployed in AWS environment.
Implementing rest, soap services and frontend for the new Banco Santander Chile customer self-service portal.
Technologies: Angular 8, Tibco bw 5 and Java spring boot.
Python
Scala
Java
Apache Spark
Hive
Airflow
AWS SDK/CLI
AWS ECS/Fargate/ECR
AWS Lambda
AWS IAM
AWS S3
AWS Cognito
AWS DynamoDB
AWS EC2/ALB/VPC
AWS CodeBuild
AWS ASG
AWS API Gateway
AWS Cloudwatch/X-Ray
AWS SQS
AWS ElasticCache/RDS
AWS KMS/Parameter Store
AWS Glue
AWS EMR
AWS Codedeploy
AWS CodePipeline
AWS Cloudformation/SAM
AWS CDK
Elasticsearch
Oracle 11g, 12g
SQL Server
MySQL/PostgreSQL
Java Spring Boot
J2E-Ejb/JPA-Hibernate
Apache Flink
Spark SQL/Databricks
Docker
Kubernetes
Terraform
Git
Jenkins
Javascript
NodeJS
Open CV - Python
Computer Vision - Python
Jan 2024 - May 2024 - Artificial Intelligence, Scalian Technologies
The course included teaching fundamental skills and knowledge in Introduction to Artificial Intelligence, Computer Vision, NLP and Generative AI.
Apr 2022 - May 2022 - Ultimate AWS Certified Developer Associate 2022 DVA-C02, Udemy
AWS Certified Developer Associate Exam Preparation Course.
Apr 2025 - May 2025 - Ultimate AWS Certified Developer Associate 2025 DVA-C02, Udemy
AWS Certified Developer Associate Exam Preparation Course.