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Build and maintain scalable ETL pipelines and data flows using Python, PySpark, and SQL to support real-time and offline analytics for a large-scale brewery.
Design and build cloud-native data pipelines on GCP, enabling AI/ML initiatives and analytics for a global banking team using PySpark, Airflow, BigQuery, and Vertex AI.
Build and migrate cloud data warehouses using Snowflake, dbt, and Python; design ETL pipelines and validate data integrity for enterprise clients.
Senior Data Engineer builds and optimizes Azure Databricks pipelines for banking analytics and AI using PySpark, Delta Lake, and cloud-native tools.
Build and optimize scalable data pipelines and streaming solutions on Microsoft Azure and Databricks to power analytics and operational processes.
Builds near-real-time data pipelines and models on Azure Databricks, integrating Azure services to deliver API-driven data products for a modern data platform.
Build and maintain scalable data pipelines and applications on Azure Databricks using Python, PySpark, and SQL, while collaborating with cross-functional teams to deliver robust, cost-efficient data solutions.
Builds and analyzes large-scale cloud datasets using SQL and PySpark to create audience segments from user behavior insights.
Builds and maintains ETL/ELT pipelines and distributed data architectures using PySpark, SQL, and Azure services to modernize a company’s data stack.
Design and build real-time data pipelines and ML models on Microsoft Fabric to analyze shipping logistics data, using Python, PySpark, and Azure services.
Design and build distributed data pipelines and modern data platforms (Microsoft Fabric/Databricks) to integrate and model data for analytics and reporting.
Designs and builds modern data platforms and ETL/ELT pipelines on AWS and GCP using Python/PySpark, following Medallion architecture and cloud best practices.
Build and maintain data pipelines for e-mobility insights and operational support using Python, PySpark, SQL, Databricks, and AWS.
Lead AI engineering teams to design and deliver scalable generative-AI and data platforms for clients in automotive, healthcare, and other sectors, using Python, cloud stacks, and MLOps tooling.
Builds and maintains the company’s end-to-end data platform, focusing on Microsoft Fabric, Power BI, and Dynamics 365 to deliver reliable analytics and reporting for Finance and business decisions.
Designs data pipelines and lakes, transforms data with PySpark/Spark SQL, and builds Power BI dashboards for manufacturing or agri-food clients.
Designs and builds modern data pipelines on Google Cloud Platform using PySpark, SQL, and GCP tools for global clients.
Designs and builds modern data platforms on Google Cloud using Python, PySpark, and IaC, focusing on Medallion Architecture and data governance.
Designs high-performance data pipelines for financial analytics using Azure Databricks, PySpark, and Delta Lake in a remote Agile team.
Designs and builds AWS-based data platforms and pipelines for enterprise clients, using Python, PySpark, and Terraform to enable scalable, governed analytics and cloud-native data architectures.
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