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Designs and maintains scalable data models and ETL pipelines for a real-estate platform, using Snowflake, Python, and SQL to integrate property data and power analytics.
Build and optimize GCP-based data pipelines and ML models, then visualize insights in Looker Studio to drive TELUS’s operational and customer-experience improvements.
Design and maintain a cloud-based lakehouse on AWS, building real-time ingestion pipelines with Kafka/Debezium and PySpark, and curating trusted analytics layers for fintech decision-making.
Build and optimize SQL-based data pipelines and analytics in a Microsoft-centric stack to power expense and invoice management for Rydoo’s SaaS platform.
Senior Data Engineer builds and maintains AWS-based ETL pipelines, transforming raw data into clean, analytics-ready datasets for product, ML, and analytics teams.
Build and optimize ETL/ELT pipelines for ad-tech data, integrating ad platforms and ensuring PII privacy while collaborating with product and marketing teams.
Designs and optimizes data models, builds data warehouses, and implements ETL/ELT pipelines to support AI/ML initiatives and data-driven decisions using Python and SQL.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and data workflows for a fintech client, ensuring compliance and automation using Snowflake, DBT, and Airflow.
Build global finance data pipelines and ETL/ELT workflows on Snowflake for a biotech client, blending data sources and collaborating with finance teams and engineers.
Designs and optimizes ETL/ELT pipelines in Oracle and GCP, building data flows with Airflow to feed reporting and analytics teams.
Designs, builds, and maintains scalable data pipelines and ETL/ELT processes for AI-powered products and enterprise data solutions.
Build and optimize ETL/ELT pipelines and data workflows using Python, SQL, Snowflake, and AWS to enhance logistics intelligence.
Designs and maintains Big Data pipelines, data warehouses, and analytics platforms using Spark, Hadoop, and cloud tools to enable data-driven business decisions.
Design and maintain cloud-based ELT/ETL pipelines and data infrastructure to deliver research-ready datasets for a global scientific intelligence team.
Build and optimize scalable data pipelines and AI platforms using cloud, ETL tools, and SQL for enterprise clients.
Design and migrate on-prem data pipelines to AWS using Glue, Redshift, EMR, and Python; automate workflows with Airflow and monitor with CloudWatch/Kibana.
Build and optimize scalable database solutions, ETL pipelines, and AI-driven workflows using Oracle, Snowflake, PL/SQL, Python, and Unix for BNY Mellon’s finance infrastructure.
Build and optimize scalable data pipelines and cloud-native apps using Snowflake, Databricks, Python and SQL to power reporting, analytics and operational processes for financial clients.
Build and optimize ETL/ELT pipelines using SQL, Snowflake/Databricks, DBT, and Airflow to support analytics and data governance in a wealth-tech environment.
Designs and maintains data pipelines and models for cybersecurity operations using tools like Looker and Snowflake.
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