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Builds Python-based APIs and cloud data pipelines to aggregate financial data and automate text processing for a BPO firm.
Builds and maintains cloud-based data pipelines and solutions using Python or Scala for a global team.
Designs and maintains cloud-native data pipelines and data lakes on AWS, building scalable ETL/ELT workflows for analytics teams.
Designs and maintains cloud-native data platforms on AWS, building ETL pipelines and managing data lakes for enterprise clients.
Designs and maintains GCP-based ETL/ELT pipelines to feed analytics and decision-making, using SQL, Python, and Airflow.
Senior Data Engineer builds and optimizes BigQuery data pipelines and dbt projects to power AI agents and executive decisions across multiple clients.
Builds scalable data pipelines and real-time/batch processing systems using modern cloud tools like Databricks, ensuring data quality and reliability for cross-continent teams.
Designs and builds scalable data pipelines using Azure Databricks and Python, integrating AI for automated classification and processing across cloud environments.
Designs, builds, and scales data pipelines and architecture to support reliable, production-grade data systems for a product-focused company.
Designs and optimizes SQL databases for live gaming applications, focusing on schema design, query tuning, and ETL/ELT pipelines.
Design and implement scalable AWS data platforms, build ETL pipelines, and manage data warehouses to support AI and analytics initiatives.
Senior Data Engineer builds and optimizes cloud data pipelines using Python, AWS, and Snowflake to support analytics and reporting for clients.
Build and maintain SQL-based data pipelines, ETL processes, and Power BI reports for a Spanish insurance company using Microsoft stack (SSIS, SSAS).
Leads a team to design and build Azure-based data pipelines and Databricks analytics platforms that turn raw data into business insights for asset-management clients.
Senior Data Engineer builds and scales secure, hybrid data pipelines using Python, SQL, and Spark in a growing team.
Builds end-to-end data pipelines and designs Databricks-based architectures using Python and PySpark.
Lead a team building PySpark/AWS ETL pipelines that ingest SAP, Intelex, SQL and OSI PI data into a cloud data lake and ensure clean, reliable data flows for analytics.
Builds and maintains big-data pipelines and APIs using Python, Spark, Kafka, Hadoop, and SQL to process and analyze large datasets for IBM clients.
Design and maintain scalable data pipelines and ETL processes using Python and SQL in a collaborative, on-site role.
Maintains and enhances a legacy property & casualty insurance system (WINS) using COBOL, RPG, and SQL on AS400/DB2, ensuring weekly/monthly/quarterly processing deadlines are met.
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