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Lead a team to design and build scalable, AI-native data platforms for clients using Microsoft Fabric and modern data tools.
Designs and builds scalable data pipelines on Databricks using PySpark for a fintech company in Madrid.
Builds and maintains scalable data pipelines on Azure using Spark, Databricks, Delta Lake, and Airflow to support digital-transformation projects in a multicultural team.
Designs and manages an analytics database for an insurance-focused startup, integrating CRM and payment systems, automating ETL, and building Power BI dashboards to track key insurance KPIs.
Migrate Oracle databases to PostgreSQL, optimize schemas, and maintain ETL/batch pipelines using SQL and Java/Spring Boot.
Build and maintain AI-driven data pipelines and analytics infrastructure for a CRM platform, integrating Salesforce data and using dbt for modeling and governance.
Design and maintain scalable data infrastructure and AI-ready semantic layers for finance, marketing, sales, and customer success analytics in a fintech-focused startup.
Builds and optimizes data pipelines using Scala, Spark, and Python for a fully remote engineering team.
Build and maintain data pipelines on AWS using Spark, Python, and services like S3, EMR, and Glue to process batch and streaming data.
Lead the design and scaling of EDUCA EDTECH’s corporate data platform on GCP/BigQuery, building robust, production-grade data pipelines and architectures.
Lead cloud and on-premise data projects using PySpark, SparkSQL, and Python, designing scalable data architectures and optimizing SQL/NoSQL systems for international clients.
Design and build secure, scalable ETL/ELT pipelines for large-scale data migrations using SQL, Python, and AWS in a fully remote role.
Build and maintain data pipelines in AWS (S3, Glue, Aurora, Neptune) to feed AI/ML applications, using Python, SQL, and graph queries for RAG and semantic search solutions.
Data Engineer to modernize finance systems by migrating Teradata processes to Google Cloud BigQuery and optimizing data pipelines in a hybrid Barcelona team.
Builds and maintains PySpark pipelines on AWS for large-scale cloud-native data solutions.
Designs and optimizes BigQuery data warehouses, builds scalable BI models, and tunes query performance for a digital-marketing analytics platform.
Builds and maintains scalable data pipelines and ETL/ELT workflows on Google Cloud Platform, focusing on AI/ML integrations using Python and SQL.
Build and maintain data pipelines and AI solutions on Google Cloud Platform, integrating LLMs and automating workflows for cybersecurity projects.
Designs and implements cloud-based data pipelines and ETL processes to deliver customer data streams and tables for analytics teams.
Designs and maintains scalable data pipelines on Databricks using Spark, Delta Lake, and Unity Catalog, collaborating with data scientists and architects.
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