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Design and maintain ETL pipelines with PowerCenter, optimize PL/SQL for Oracle, and build enterprise data warehouses while ensuring data quality and governance.
Senior Data Engineer builds and optimizes Snowflake data warehouses, migrates legacy systems, and designs ETL pipelines using Talend/Informatica to support analytics and reporting.
Builds secure, scalable Azure data pipelines and platforms for government analytics, using Databricks, Synapse, and Python to ensure trusted, compliant data access.
Design and build scalable Snowflake data warehouses and ETL pipelines using Talend/Informatica, optimizing data flows and ensuring integrity for analytics and reporting.
Designs and maintains scalable data pipelines, ETL processes, and cloud-based data warehouses to support analytics and business intelligence workflows.
Builds and optimizes big-data pipelines using Hadoop, Spark, and SQL for a banking analytics platform, ensuring scalable ETL and reporting.
Designs and builds data pipelines, models, and transformations in Snowflake, migrating legacy data and integrating ETL tools like Informatica/Talend.
Designs and maintains scalable data pipelines, ETL processes, and warehouses to collect, process, and analyze financial data in real-time and batch modes using tools like Informatica, Spark, and Python.
Build and maintain scalable ETL/ELT pipelines and data warehouses using Python, SQL, and cloud platforms to power analytics and AI products.
Designs and builds scalable data pipelines and warehouses for healthcare analytics, integrating SAP, Salesforce, and cloud sources using Python, SQL, and Snowflake/Databricks.
Build and maintain cloud-based data pipelines and warehouses for clients using AWS, SQL, and ETL tools like Informatica or SnapLogic.
Designs and maintains data pipelines, warehouses, and analytics infrastructure using SQL, Python, and AWS services to support reporting and modeling for clients.
Lead a team to build and maintain scalable ETL pipelines and cloud data platforms for government projects using AWS services like S3, Glue, and Redshift.
Designs and maintains large-scale data pipelines and warehouses using Hadoop, Spark, and SQL, transforming raw data into analytics-ready datasets.
Designs and maintains scalable data pipelines, ETL processes, and warehouses for mission-critical systems, using tools like Informatica, Spark, and Python to support analytics and AI-driven decision support.
Build and maintain scalable ETL pipelines using Talend, PySpark, and SQL to integrate data sources for analytics and ML workloads.
Maintain and optimize data pipelines, troubleshoot incidents, and support cloud-based data products for enterprise clients using Python, SQL, and DevOps tools.
Leads AI data engineering at a Singapore government agency, designing scalable data pipelines and governance for AI systems that support national security.
Design and maintain scalable data models and ETL pipelines for a global fintech platform, ensuring clean, reliable data for analytics and AI use cases.
Design and build data pipelines, warehouses, and lakes for enterprise clients, using SQL, Python, and cloud platforms like Snowflake.
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