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Builds scalable ELT pipelines in BigQuery and dbt for public transit data, integrates real-time GTFS feeds, and delivers QlikSense dashboards for agencies and stakeholders.
Builds and migrates scalable Snowflake/Azure data platforms, designs ETL pipelines, and transforms high-volume data for Deloitte’s Cloud & Engineering practice.
Build and optimize scalable data pipelines and AI solutions using cloud platforms, SQL, ETL tools, and Python/R for European clients.
Build and optimize scalable data pipelines and AI solutions using cloud platforms, ETL tools, and SQL for enterprise clients across Europe.
Designs and builds scalable data pipelines on Databricks and Azure, integrating diverse sources and using AI tools to accelerate development and testing.
Designs and maintains scalable ETL/ELT pipelines and data models on GCP using BigQuery, Airflow, and Spark for HSBC’s data infrastructure.
Senior Data Engineer builds scalable Lakehouse architectures and ETL/ELT pipelines using Databricks, Spark, and cloud services to turn logistics data into BI insights and support analytics across Azure, AWS, or GCP.
Designs and builds Snowflake-based data pipelines and ELT workflows for a Swiss mobility client, using SQL, dbt, Python, and CI/CD.
Design and build scalable data platforms on Azure, integrating enterprise sources with Microsoft Fabric, Databricks, and ETL/ELT pipelines to enable analytics and reporting.
Builds and optimizes cloud-based data pipelines using Microsoft Fabric, Azure Synapse, PySpark, and SQL to process diverse datasets for analytics and reporting.
Build and maintain data pipelines, AI models, and transformations using Python, GCP, Dataiku, and SQL to turn raw data into business insights for enterprise clients.
Builds and maintains ETL/ELT pipelines for a data lake and warehouse using Oracle, PostgreSQL, BigQuery, and Informatica PowerCenter.
Build and maintain scalable Python-based data pipelines and ETL/ELT processes for a global banking client’s modern data platform and microservices architecture.
Build and operate Snowflake-based data platforms that power GenAI and advanced AI use cases at enterprise scale, integrating vector search, RAG, and agent workflows.
Builds and maintains data platforms using Azure, Databricks, and AWS, focusing on Lakehouse architectures, ETL/ELT pipelines, and high-quality data delivery for analytics and AI teams.
Design and automate AWS-based data infrastructure using Terraform and Python, building scalable pipelines for ingestion, transformation, and validation.
Design and build scalable Lakehouse architectures (Bronze/Silver/Gold) using Databricks and Delta Lake to transform logistics data into BI insights, optimizing ETL/ELT pipelines with PySpark and Azure/AWS/GCP services.
Design and maintain Azure Data Factory pipelines, orchestrating ETL/ELT workflows and optimizing warehouse layers (Azure SQL/Synapse) for enterprise clients.
Build and optimize Snowflake-based ETL/ELT pipelines for finance data, collaborate with finance teams, and develop REST APIs for downstream consumers.
Designs and builds Snowflake-based data pipelines, warehouses, and CI/CD workflows, integrates with Azure, and optimizes SQL performance for analytics.
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