- Build data pipelines - Collaborate with analytics and business teams - Design data products - Develop batch data processing - Develop reporting solutions - Develop streaming data processing - Ensure data quality -…
Manager leading a team of data engineers designing and maintaining scalable data pipelines and analytics infrastructure on cloud/distributed platforms using Python, Java, Spark, Hive, Kafka, and SQL, while guiding architecture, governance, and Agile delivery.
Leads a team of data engineers at Cummins designing, building and maintaining scalable data pipelines and platforms to support enterprise analytics and reporting. Day-to-day work spans data architecture, ETL, cloud data services and mentoring, using Java, Python, Spark, Hive, Kafka and SQL on cloud/distributed environments.
Senior Data Analyst embedded in Nebius's Hardware Infrastructure Automation team, owning analytical projects end-to-end — building data pipelines, dashboards, and insights from large-scale hardware telemetry to drive automation and operational decisions for the global GPU cloud fleet.