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Designs and builds scalable data pipelines and platforms using Microsoft Fabric, Azure Data Factory, Python, PySpark, and SQL to enable analytics and AI for enterprise clients.
Builds and maintains scalable data pipelines and cloud-based analytics platforms using Azure/AWS, Databricks, and PySpark to support data-driven solutions for enterprise clients.
Designs and builds scalable enterprise data solutions on Databricks and AWS, including ETL/ELT pipelines, data modeling, and governance using PySpark, Python, and SQL.
Design and maintain data pipelines, lead engineering teams, and collaborate with scientists to build robust data infrastructure for nutrition and sustainability projects using Python, Spark, and cloud platforms.
Builds and optimizes data pipelines using Databricks, PySpark/Scala, and Azure cloud services to transform and govern enterprise data in a lakehouse architecture.
Designs and maintains scalable data pipelines using Azure Databricks, PySpark, and SQL to support business intelligence and reporting for a European cloud services provider.
Lead a team to design, build, and maintain scalable data pipelines for procurement analytics using dbt, SQL, Python, Spark, and cloud platforms like Azure.
Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only…
Lead a data-science team building ML models that plan promotions and sales for a large retail platform, ensuring stable pipelines and measurable business impact.
Lead a data-science team building ML models that plan promotions and sales across X5 Group’s retail chains, ensuring stable pipelines and measurable business impact.
Senior Data Scientist at SberAds (Sberbank) builds and improves predictive models for real-time online advertising auctions, using Python, Spark, and other technologies to optimize ad relevance and platform performance.
Designs and builds scalable big-data analytics pipelines using Pig, PySpark, Python, and Scala in a fast-paced Agile environment for a government contractor.
Design and model data structures for applications using Microsoft Fabric, ensuring scalable storage and integration while collaborating with teams to align data strategies.
Senior Data Engineer designs, builds, and scales large data pipelines and cloud infrastructure for a banking platform, using Python, PySpark, GCP, Kubernetes, and Kafka to deliver real-time and batch analytics.
Build and optimize scalable data pipelines and governed lakehouse platforms using Databricks, Spark, and AWS to support analytics and AI in a regulated biotech environment.
Build and maintain data pipelines, ETL workflows, and reporting dashboards using Python, PySpark, SQL, and tools like Cloudera and Tableau.
Design and build scalable cloud-native data pipelines and platforms (batch/streaming) using Python, Spark, Kafka, and cloud data warehouses to power analytics and ML across global telco markets.
Lead engineering for JPMorgan’s Global KYC and Risk Assessment Data Platform, designing secure, scalable systems and agentic AI workflows in Python/PySpark on cloud platforms.
Lead a team building a secure, scalable KYC and risk-assessment data platform in Python/PySpark, defining architecture and engineering standards for JPMorgan Chase’s Corporate Sector.
Lead a team of 8–15 engineers to design, build, and optimize cloud-based data pipelines and lakehouse architectures using Python, PySpark, Databricks, and cloud platforms like Azure/AWS/GCP.
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