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Lead Data Engineer who designs, builds, and maintains scalable data pipelines on AWS and Snowflake for a major U.S. client. The role leads the team, drives privacy controls, data governance, and secure data exchange, and owns delivery from design through deployment in line with Warsaw operations.
Lead Data Engineer designing and maintaining scalable data pipelines and security controls for a US consumer insights provider. You will lead a team using AWS (Lambda, Airflow, Redshift), Snowflake, SQL, and Python to process large financial data volumes (200BIL+ records) while ensuring data governance and PII compliance.
Lead Data Engineer at a Polish software house, building reliable Databricks/Spark data pipelines (Delta Lake, CDC ingestion from Oracle/PostgreSQL/MongoDB) for a US BioPharma client's AI/ML and analytics use cases. Day-to-day: hands-on pipeline engineering with Python and SQL, data modelling across layered architecture, code reviews, and mentoring, on CEST hours until 6 PM.
Lead data architect/engineer at ACAISOFT Poland guiding enterprise data architecture and BioPharma projects for international clients — designing data models, building pipelines, and ensuring data quality using Python, SQL, Spark on Databricks, Delta Lake and Unity Catalog, with IaC and CI/CD practices.
Build and secure a greenfield AWS cloud platform for a global payments company using IaC, GitOps, and Zero Trust principles.
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