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Builds and tests data-centric solutions using Python, big-data tools, and cloud platforms to meet business needs and ensure high-quality, scalable data pipelines.
Designs and structures data lakes, storage zones, governance policies, and access patterns for a banking-focused client in Qatar.
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Design and build scalable data platforms for industrial IoT and AI in oil & gas, using Azure cloud services and real-time streaming pipelines.
Build and maintain scalable data pipelines and lakehouse architectures on Azure/Databricks, enabling analytics and reporting for HR and people operations.
Builds data lakes, warehouses, and ETL/ELT pipelines on-prem and in GCP, focusing on Oracle/PostgreSQL tuning, BigQuery, Kafka/Pub-Sub, and Python/R data loading.
Builds and maintains Azure-based data pipelines using ADF, Databricks, and DevOps to ingest, process, and automate data workflows in a cloud ecosystem.
Lead a data engineering squad in Madrid, designing and optimizing AWS-based data pipelines (ETL/ELT) using S3, Redshift, and Data Lake to ensure high-quality, performant data flows.
Lead the design and deployment of cloud-native data pipelines and AI platforms on AWS, collaborating with cross-functional teams to enable scalable, secure analytics and ML workloads.
Lead a data engineering team to build and optimize pipelines using Databricks and Azure Data Lake, ensuring alignment with product goals and cross-team collaboration.
Lead a team building and optimizing data pipelines for AXA’s global insurance operations using Databricks, Azure Data Lake, and PySpark to deliver scalable analytics and reporting.
Design and maintain a hybrid cloud data platform (AWS + GCP/BigQuery) for a European fintech, building data lakes, pipelines, IAM, and observability to power analytics and AI transformation.
Build and maintain cloud data pipelines for clients using Azure Data Factory, Databricks, and Azure Data Lake Storage, ensuring clean, reliable data for analytics and ML teams.
Build and migrate scalable data pipelines from Java/Spark to Python, design a corporate Data Lake, and integrate data into MongoDB/PostgreSQL for BI and Data Science teams.
Build and maintain data pipelines, clean and integrate datasets, and create BI dashboards to support business decisions using SQL, TypeScript, and BI tools.
Build and migrate data models, ETL pipelines, and data warehouses on Snowflake and AWS for Allianz’s OneDIA ecosystem.
Design and migrate data models and ETL pipelines to Snowflake and AWS for Allianz’s OneDIA ecosystem, building data lakes, vaults, and marts while ensuring data quality and catalog integration.
Build and maintain data pipelines, clean and structure financial data, and integrate GenAI solutions like LLMs and RAG for a banking-focused project using Python, SQL, and ETL/ELT.
Build and maintain data pipelines, clean and integrate financial data, and create BI dashboards using SQL, TypeScript, and Python in a fintech company.
Build and optimize ETL/ELT pipelines in Azure (Data Lake, Databricks, Synapse, Data Factory) to feed Power BI dashboards and support analytics for a global hotel group.
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