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Senior Data Engineer at Deutsche Telekom designing and optimizing ETL/ELT pipelines in Databricks Lakehouse environments, leading technical teams, and collaborating with architects and data scientists.
Design and build ETL/ELT pipelines on Google Cloud Platform, focusing on BigQuery, using Python, SQL, Spark, Airflow and DevOps practices.
Build and maintain scalable ETL/ELT pipelines and data platforms using Databricks, PySpark, Python and SQL to deliver clean, reliable data for analytics and AI workloads.
Lead a team to build and maintain scalable data pipelines using Azure, Databricks, PySpark, and CI/CD, delivering production-grade data products from raw to curated layers.
Builds and migrates financial reporting pipelines to Google Cloud, focusing on BigQuery SQL and GCP to automate inventory valuations and support monthly/quarterly/annual financial statements.
Designs and builds scalable Azure Databricks data pipelines and Lakehouse architectures using Spark and Azure Data Factory to power analytics and BI.
Designs and maintains cloud data pipelines and analytics platforms for food and beverage processing plants, enabling AI-driven predictive maintenance and operational reporting.
Builds and maintains real-time ETL pipelines and data warehouses for an ecommerce platform, enabling analytics and decision-making.
Build and maintain Python-based data pipelines and cloud-native trading tools on AWS to support energy trading operations.
Designs and builds real-time data pipelines using Apache Kafka and Flink, optimizing performance for streaming workloads.
Senior Data Engineer builds and optimizes financial-data pipelines using Python, SQL and Spark to support banking products and improve existing systems.
Designs and maintains cloud data pipelines using Azure and Databricks, focusing on ETL/ELT workflows with SQL and Python.
Builds and maintains AWS-based ETL pipelines using Python and Spark to process and transform data for analytics.
Builds real-time data pipelines and maintains non-relational databases like Couchbase and Elasticsearch for a hybrid-role at a product company.
Design, build, and optimize data pipelines and dashboards for a fleet data platform using AWS and Databricks, collaborating with ML engineers and data scientists.
Design and maintain data pipelines and structures for AI-driven web products, ensuring data quality and enabling analytics-driven improvements.
Build and maintain scalable data pipelines for Affirm’s Furnishing Platform using Python or Kotlin, AWS, and MySQL/Spark.
Designs and maintains secure data pipelines between manufacturing systems (MES, PLCs, historians) and enterprise platforms to enable global plant analytics and digital initiatives.
Senior Data Engineer builds and optimizes PySpark/Python pipelines to transform and govern large-scale data in KPMG’s data lake, ensuring quality and enabling business decisions.
Senior Data Engineer builds and maintains AI-driven data pipelines for a traveltech platform serving 85k+ users, using Python and cloud databases like BigQuery.
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