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Builds and maintains data pipelines and warehouses using Snowflake, dbt, SQL, and Python to power analytics for a product-focused team.
Build and optimize batch and streaming data pipelines in Java and Apache Beam, orchestrate with Airflow, and ensure robust testing and observability for analytics workloads.
Integrates lab-instrument data into semantic formats to support pharma analytics and business decisions in a 6–12 month B2B project.
Designs and builds cloud-based data platforms using Snowflake and Azure, focusing on scalable ETL/ELT pipelines and data modeling for analytics.
Designs and maintains the core data platform powering investment and analytics workflows for an asset management firm.
Data Engineer processes large audio, text, and image datasets using Python/Rust, Data Lake, and event-driven architectures in a fintech company.
Designs and builds scalable data platforms in cloud and on-premise environments, optimizing pipelines to support data-driven decisions within agile teams.
Builds and maintains AWS-based data pipelines and Spark jobs in a Data Mesh architecture using Python and Agile workflows.
Builds cloud-based data pipelines and RAG architectures that power generative AI and large language models for a Polish AI team.
Build and maintain AI/ML pipelines, deploy models, and manage lifecycle with tools like MLflow, Kubeflow, or cloud platforms (AWS SageMaker/Azure ML).
Builds and maintains ETL/ELT pipelines and data models for a financial-sector B2B platform, using SQL, Python/Scala/Java, and Git.
Build and optimize Google Cloud Platform data pipelines to support T-Mobile’s data transformation strategy using modern cloud-native tools.
Designs and builds cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI, integrating with SQL Server and Azure Data Factory.
Designs and maintains AWS-based data pipelines and dimensional models to power business analytics and reporting for enterprise clients.
Builds and maintains a large-scale predictive-maintenance pipeline for jet engines using Python, Spark, Databricks, and Azure cloud services.
Build and maintain financial performance frameworks, automate KPI dashboards, and lead budgeting/forecasting for a global consulting firm’s internal analytics team.
Build and maintain scalable data pipelines on Azure using Databricks, ADF, and PySpark to process and transform enterprise datasets.
Senior Snowflake Data Engineer designs Snowflake-based data platforms, builds ETL/ELT pipelines, and implements CI/CD for Azure environments.
Design and build scalable AWS data pipelines that ingest from DynamoDB, Aurora PostgreSQL, and Neptune, then curate them into an Apache Iceberg-based data lake and orchestrate with Airflow.
Build and maintain data pipelines on Databricks, using Python and cloud platforms to transform and automate data workflows.
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