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Build and maintain data pipelines, clean and integrate financial data, and create BI dashboards to support decision-making in a fintech company.
Builds and maintains data pipelines using PySpark, Spark SQL, and Azure Lakehouse to power BI and analytics workloads.
Maintain and optimize a corporate data lake using AWS, Spark, Kafka, and Python, ensuring scalable data processing and performance.
Build and maintain ETL pipelines and data warehouses in Snowflake and AWS, modeling raw and business data vaults for a large-scale migration effort.
Senior Data Engineer at Deutsche Telekom designing and optimizing ETL/ELT pipelines in Databricks Lakehouse environments, leading technical teams, and collaborating with architects and data scientists.
Build and maintain scalable ETL/ELT pipelines and data platforms using Databricks, PySpark, Python and SQL to deliver clean, reliable data for analytics and AI workloads.
Build and optimize end-to-end data pipelines using Python, PySpark, and Databricks for large-scale analytics projects.
Data Engineer Intern builds Azure-based data pipelines and insights using Fabric, Synapse, and Power BI to help clients become data-driven.
Lead the design and implementation of ETL/ELT pipelines and data platforms using Databricks, ensuring high data quality and alignment with business needs.
Designs and builds scalable Azure data pipelines using ADF and Databricks, ensuring data ingestion, processing, and governance meet enterprise standards.
Designs and maintains data pipelines using Microsoft Fabric, SQL, Python, and Lakehouse architectures for a stable client project in Madrid.
Builds scalable data pipelines and optimizes cloud-based data lakehouse platforms using Databricks, Spark, Airflow, and Iceberg for digital-transformation projects.
Build and maintain an Azure-based BI platform, designing ETL pipelines and Power BI reports to process millions of business-critical documents for strategic insights.
Designs and implements AWS-based data pipelines and ETL/ELT workflows for a lakehouse architecture, using Spark and infrastructure-as-code tools.
Designs, builds, and optimizes ETL/ELT pipelines in Databricks for a large telecom’s data lake, collaborating with architects, analysts, and data scientists.
Build and optimize ETL/ELT pipelines, set up data lakes/warehouses/lakehouses, and ensure data quality while mentoring junior engineers in a global team.
Senior Azure Data Engineer designs, builds, and optimizes scalable data pipelines in Microsoft Azure and Fabric, from ingestion to insights, using Synapse, Databricks, and KQL.
Build and maintain a cloud data lake and real-time streaming pipelines using Kafka, Spark, Scala, and Airflow to process billions of messages daily for analytics.
Build and optimize scalable data pipelines on Azure using Databricks, Data Factory, Synapse, and DevOps tools to ingest, process, and govern enterprise data.
Build end-to-end data pipelines with Python, PySpark, and Databricks for enterprise clients, designing scalable cloud data architectures on AWS/Azure/GCP.
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