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Design and build scalable data pipelines, Data Lakes, and DWHs using BigQuery, Kafka, Airflow, and Kubernetes, with exposure to GenAI integrations.
Build and maintain data pipelines and warehouses using Oracle, PostgreSQL, BigQuery, Informatica PowerCenter, Kafka, and Python to feed analytics and ML workloads.
Build and maintain scalable data pipelines for large enterprises using Spark, Cloudera, and Airflow to process streaming and batch automotive, aerospace, and telecom data.
Build and optimize cloud-based data platforms using Databricks, SQL, Python, and cloud data warehouses to enable data-driven decisions for global clients.
Builds and maintains dentsu’s Google Cloud-based data platform, writing Python pipelines in Airflow, integrating marketing and semi-structured data, and modeling in BigQuery for analytics and reporting.
Build and scale a high-throughput data pipeline for Allegro’s 5B daily clickstream events using Scala, Spark, Kafka, and GCP services like Dataflow and BigQuery.
Design and build scalable data pipelines and warehouses on Google Cloud Platform using BigQuery, SQL, and Python to enable data-driven decisions for global clients.
Lead a global data engineering team to build and maintain GCP-based pipelines and platforms that power analytics, compliance, and AI use cases for a FTSE 100 fintech.
Design and build large-scale data pipelines and warehouses for a high-traffic ad exchange, processing over 1 PB of daily events with Java/Scala/Python, Spark, BigQuery, and GCP.
Build and optimize large-scale data pipelines and warehouses for a digital ad exchange handling billions of daily requests, using Java/Scala/Python, Spark, BigQuery, and GCP.
Designs and builds scalable data pipelines on Google Cloud using BigQuery, Dataflow, and Airflow to support analytics and AI workloads.
Build and maintain data pipelines, warehouses, and lakes using Oracle, PostgreSQL, BigQuery, Kafka, and Python to feed analytics and reporting systems.
Builds and maintains dbt-based data pipelines in BigQuery, designs reliable models, and enforces data quality for analytics at Box Poland.
Senior Data Engineer designs and builds scalable data pipelines and warehouses, mentors junior engineers, and ensures reliable data delivery for analytics and business insights.
Senior Data Engineer builds scalable data platforms using cloud tools (Azure, GCP, AWS), Databricks, and modern warehouses (Synapse, BigQuery, Redshift, Snowflake) to enable data-driven decisions.
Designs and builds scalable data pipelines on Google Cloud, focusing on BigQuery, Dataflow, and Airflow to support analytics and AI workloads.
Build and maintain GCP-based data pipelines (batch/streaming) with BigQuery and Pub/Sub, enforce data quality, and partner with ML engineers to support analytics and models.
Build and maintain scalable data pipelines in BigQuery using dbt/Dataform to feed marketing and product analytics dashboards.
Senior Data Engineer builds and scales cloud-based data pipelines and AI-driven analytics platforms using Databricks, Python/PySpark, and Power BI for European clients.
Build and maintain cloud-based data pipelines and APIs to process geospatial data (weather, satellite, locations) for agribusiness insights using Python, PostgreSQL/PostGIS, GCP, and AWS.
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