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Designs and maintains scalable data pipelines on Google Cloud Platform, focusing on ETL processes, serverless apps, and BI dashboards using Airflow, BigQuery, and Python.
Designs, builds, and maintains data pipelines/ETL solutions using Airflow, Snowflake, and Python to integrate/transform company data for long-term digital growth.
Builds scalable data pipelines and AI models to integrate business needs with AI innovation in a creative, tech-driven environment at a global creative agency.
A chemist/chemical engineer who bridges lab work and data, running electrochemical tests for SOEC hydrogen tech and contributing to data automation/analytics in a deep-tech environment.
Design, build, and maintain robust data pipelines and AI-driven automation to support Calconut’s digital transformation in a cloud environment.
Builds and maintains data pipelines, infrastructure, and decision-making systems for ad targeting; models user personas and optimizes ad delivery using Spark, AWS, and ML.
Designs and builds scalable cloud data pipelines on GCP using SQL, BigQuery, and dbt to model and transform data for analytics and reporting.
Designs, builds, and optimizes large-scale data pipelines using Spark, Databricks, and Hive to ensure high performance and scalability.
Data Engineer builds and maintains SAP-based data warehouses and BI solutions using BW/BW4HANA, SAC, Datasphere and ABAP.
Develops and maintains ETL processes using Pentaho and SQL to integrate and process data in a hybrid Madrid-based role.
Intern role at P&G’s MEQUINENZA PLANT to analyze operations, build digital prototypes, and learn SQL, Python, and BI tools under mentorship.
Builds and maintains Big Data pipelines using PySpark, AWS, and Terraform to diagnose issues, automate infrastructure, and optimize data solutions in a global team.
Builds and optimizes data pipelines for media/advertising clients using SQL, BigQuery, and DBT, while creating custom Power BI dashboards for cloud-based analytics.
Builds and optimizes data pipelines for clients using Snowflake and dbt, ensuring scalable architectures that drive measurable business impact through collaboration with stakeholders.
Builds and maintains Big Data pipelines using PySpark, AWS, and Terraform to diagnose issues, optimize data processing, and implement new features in a cloud environment.
Designs, builds, and maintains scalable data pipelines and automation solutions with a focus on AI, integrating ERP, databases, and APIs to transform and analyze company data.
Design and maintain scalable AWS-based data pipelines and data lake solutions using Spark, Python, SQL, and Kafka.
Leads end-to-end data projects from ingestion to product, integrating backend, APIs, and dashboards with Python, SQL, and cloud deployments, while owning systems in production with a focus on AI-driven impact.
Builds and migrates a modern data platform using Databricks, focusing on creating anonymized Data Marts, ensuring data quality, compliance, and optimizing Spark/PySQL pipelines.
Designs, deploys, and maintains scalable data pipelines for a healthcare tech product using Python, SQL, Airflow, and AWS.
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