Über Agustín
I am an experienced Data Engineer and BI Analyst with over nine years of expertise in creating and managing data pipelines, building cloud infrastructure, and developing insightful data visualizations. I specialize in leveraging AWS, Python, and SQL to deliver robust data solutions that empower businesses to make informed decisions. My proficiency in tools like PowerBI and QlikSense, combined with a strong foundation in DevOps practices, ensures seamless and efficient project execution.
Ready to transform your data into actionable insights? Let's collaborate!
Spanisch
Muttersprachlich oder zweisprachig
Nur remote
Führt Projekte hauptsächlich remote aus
Projekt- und Berufserfahrung
- SEAT CODEData EngineerMai 2023 - Heute (3 Jahre und 1 Monat)Spain- Design and architect data solutions using AWS services and implement them using Terraform or Serverless with CloudFormation.- Develop ETL/ELT jobs using Glue (PySpark) and Lambdas (Pandas) to integrate and transform our data.- Ensure data quality by applying quality controls rules to our DataLake infrastructure.- Enhance data security by implementing access rules through AWS Lake Formation.- Define and develop a CI/CD process using GitHub Actions for efficient integration and deployments.- Mentor others teams to help them find optimal data engineering solutions tailored to their specific needs. Technologies: Python, PySpark, SQL, Bash, AWS (Lambda, Glue Jobs/ Workflows, Athena, LakeFormation, EventBridge, SageMaker, SNS, StepFunctions, S3, EC2, IAM, EKS, RDS, DynamoDB), Terraform, Serverless, CloudFormation, DataDog, Docker, Github Actions, Git
- Axpe ConsultingData EngineerJuni 2022 - Mai 2023 (11 Monate)SpainWorking as Data Engineer with the CEPSA Digital team I was responsible for:- Development of ETL processes using python and AWS Lambdas.- Design and develop infrastructure as code using Cloudformation.- Develop python libraries for internal use.- Maintain, evolve and create Restful APIs to interact with the different DataLakes and initiatives.- Ingest new data sources to make it avilable in the DataLake.- Participate in POCs of candidates products to democratize data. (Dremio, Starburst) Technologies: Python (Lambdas, Packages, Unit Testing), SQL, Bash, AWS (Lambda, API Gateway, EventBridge, SNS, StepFunctions, CloudFormation, S3, EC2), DataDog, Github Actions, Jenkins
- UaláData EngineerJanuar 2021 - September 2021 (8 Monate)Cantero Ciudad de Pigüé, Buenos Aires, CF, Argentina- Development and maintenance of ETL and ELT pipelines with Pentaho and Python.- Administration of the DataWarehouse in Redshift. (DDL, DML)- Development of queries and views in SQL (Redshift and Postgre).- Maintenance of aws lambdas with python for data processing. Technologies: Python, T-SQL, Bash, Pentaho, Redshift, Postgre, AWS(S3, Lambda, Athena, EC2), GitHub
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Ausbildung und Abschlüsse
- Analista de Sistemas Informáticos , Tecnología informática/Tecnología de sistemas informáticosInstituto de Estudios Superiores de Buenos Aires [ESBA Barrio Norte]2021Analista de Sistemas Informáticos , Tecnología informática/Tecnología de sistemas informáticos