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Builds and maintains CI/CD pipelines for data workflows in Snowflake, automating deployments with Python and Kubernetes to streamline developer workflows.
Build and optimize big-data pipelines using Azure, Databricks, and Spark to process large datasets for a global digital transformation firm.
Design and implement a scalable enterprise search engine using SQL, Python, and Big Data tools in a hybrid Kraków role for a global financial-services firm.
Leads cloud-native migration and AI integration for regulatory data platforms in a global investment bank’s Warsaw team.
Builds and maintains Snowflake-based cloud data warehouses and CI/CD pipelines for a global media company, collaborating with cross-functional teams.
Freelance role building and maintaining data pipelines on Databricks for a Polish beverage manufacturer’s Azure-based data platform.
Builds and maintains scalable data pipelines and lakehouse infrastructure for AI/ML workloads using Python, Java, SQL, and Spark.
A 2-month remote bootcamp teaching SQL and Python for data analysis, including practical tasks and feedback for students with IT backgrounds.
Builds and maintains data pipelines on Palantir Foundry to deliver AI-driven analytics solutions for business challenges using Python and PySpark.
Leads a team building and maintaining large-scale data pipelines on GCP, mentoring engineers and collaborating with stakeholders to deliver AI and platform solutions for an edtech company.
Design and build automated testing infrastructure for AMD’s distributed ML training systems, ensuring reliability and high quality standards across teams.
Designs and maintains ETL pipelines for market abuse surveillance and compliance using DataStage, Python, Oracle SQL, and Kafka.
Leads Salesforce data architecture and integrations, building robust pipelines to keep financial data flowing across systems.
Senior Data Engineer builds and optimizes Databricks Lakehouse pipelines in Azure, using PySpark to create scalable data models and incremental loads for large datasets.
Design and build scalable data platforms using Databricks and modern warehousing tech to enable data-driven decisions across global projects.
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.
Senior Data Engineer builds and optimizes cloud-based ETL pipelines and data models for sales analytics at a large bank, using GCP, Python, SQL, and Gen/Agentic AI tools.
Build and migrate AML data pipelines using PySpark on Databricks, integrating APIs and batch processes while centralizing data from multiple sources.
Build and maintain Roche’s enterprise knowledge graph, design ontologies, and create scalable data pipelines to power AI assistants and data integration.
Build an automated canary-analysis system that ingests edge-device telemetry, detects anomalies, and triggers promote/pause/rollback decisions using Prometheus/VictoriaMetrics and Python.
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