About Alejandro
Computer Engineer with 12 years of experience in data, focused on data architecture, data governance, and data engineering. I have worked at various multinational companies (both consulting firms and end clients), analyzing, designing, and implementing robust data modeling solutions, pipeline design and optimization, and dashboard development. Additionally, I have designed and implemented cloud and Data Mesh architectures, as well as data governance frameworks.
I have experience across various sectors, including finance, telecommunications, oil & gas, energy, education, sports, insurance, logistics, maritime, and government.
Spanish
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- NoatumData ArchitectDecember 2023 - Today (2 years and 6 months)Spain
- Design and implement the company's Data Mesh architecture based on technologies such as Microsoft, Snowflake, and dbt.
- Deploy cloud infrastructure using Terraform.
- Define development standards and strategies using DevOps practices.
- Define and implement data cleansing strategies.
- Define and implement various platform administration and security policies, data lifecycle management, governance practices, and more.
- Define, implement, and manage the FinOps strategy for the company's data area.
- Define the DataOps strategy within the company's data department.
- Design and implement data lineage, cataloging, classification, and the marketplace for the company's various data products using services like Purview, Snowflake Horizon, and DataOps Live.
- AVANADESenior Data EngineerSeptember 2022 - December 2023 (1 year and 3 months)Spain
- Perform data collection, cleansing, processing, ingestion, and storage (Dataflows - ETL - ELT) using notebooks (Scala), pipelines, and Azure Synapse Analytics databases.
- Analyze and understand the functional data requirements of various stakeholders within the organization to ensure accurate technical specification and definition.
- Define the implementation architecture for the ETL processes to be developed throughout the project.
- Provide technical leadership to the team by estimating development timelines, assigning tasks, and delivering technical training to team members.
- Capitole ConsultingData EngineerJuly 2021 - August 2022 (1 year and 1 month)Spain
- Perform data collection, cleansing, processing, ingestion, and storage (Dataflows - ETL - ELT) using Azure Data Factory and/or Azure Synapse Analytics.
- Analyze and understand the functional data requirements of various organizational stakeholders to ensure accurate technical specification and definition.
- Define and estimate PBIs (Product Backlog Items) based on the project roadmap, using agile methodologies.
- Configure and deploy pipelines, releases, and ARM templates in Azure DevOps to ensure continuous deployment across Azure Data Factory environments.
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Education
- Ingeniero de Sistemas, Systems Engineering, Systems EngineeringPontificia Universidad Javeriana2013Ingeniero de Sistemas, Systems Engineering, Systems Engineering