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Build and maintain Ebury’s scalable data platform using Python, SQL, and GCP tools like BigQuery to enable analytics and insights across the company.
Build and maintain data pipelines on GCP, using BigQuery, Python, dbt, and Prefect to ingest, transform, and activate data from CRM, ecommerce, and digital campaigns.
Senior Data Engineer building and maintaining modern data pipelines in hybrid environments for a fintech insurer, focusing on Oracle, BigQuery, and cloud data warehouses to enable data-driven decisions.
Lead a small team building and maintaining scalable data pipelines in Snowflake, Python, and SQL to turn raw business data into analytics-ready assets for BI and enterprise reporting.
Build and maintain data pipelines using Microsoft’s stack (Azure Data Factory, Synapse, Fabric) to integrate and transform data for analytics and AI solutions.
Build and maintain data pipelines, warehouses, and AI integrations for Emburse’s travel and expense SaaS platform using Snowflake, Databricks, AWS, and Looker.
Build and scale cloud-based data pipelines and platforms using AWS, Python, PySpark, and Databricks to deliver reliable, high-performance data solutions for analytics and business needs.
Build and optimize cloud data pipelines for analytics using Azure Data Factory, Databricks, and Power BI to enable strategic decision-making for enterprise clients.
Lead the design and optimization of iRESTORE’s BI stack, including BigQuery, Looker Studio, and dbt pipelines, to enable data-driven decisions across marketing, operations, and logistics.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform to power analytics and AI use cases for enterprise clients.
Lead the architecture and delivery of large-scale healthcare data pipelines and platforms for Roche’s digital cervical screening solution, using Python, SQL, Spark, and cloud data tools.
Builds and maintains data pipelines, lakehouse storage, and cloud-based CI/CD for an edtech company, ensuring data quality and security for analytics and AI.
Builds and maintains data pipelines in PL/SQL and Python to feed analytics and reporting, ensuring clean, reliable data for decision-making.
Build and maintain data pipelines and models in Databricks and BigQuery to integrate CRM, marketing, and finance systems and power revenue analytics for a SaaS business.
Build and maintain data pipelines and models in Databricks and BigQuery to power revenue analytics and forecasting for a SaaS-like product company.
Build and maintain an insurance-focused data warehouse, automate ETL pipelines, and create Power BI dashboards to track claims, conversion, and retention KPIs.
Designs and builds real-time data pipelines and lakehouse architectures using Hadoop, Kafka, Python, and Java.
Senior Data Engineer builds and optimizes LLM and RAG pipelines for a telecom-focused data ecosystem using SQL and Big Data architectures.
Design and build scalable Snowflake-based data pipelines and warehouses, optimizing ELT workflows and collaborating with business teams to deliver reliable, high-performance analytics solutions.
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