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Lead enterprise data and AI strategy, designing scalable data ecosystems and cloud-native platforms while guiding AI/ML initiatives and governance for digital innovation.
Senior BI Analyst builds data pipelines, models, and dashboards to turn financial-services data into actionable insights using SQL, ETL, and tools like Tableau or Power BI.
Build and maintain ETL pipelines, optimize cloud data solutions, and design reports in Azure for a healthcare-focused team.
Build and maintain data pipelines using AWS Glue, Redshift, Python, and SQL to support analytics and reporting for an international client.
Designs and maintains data pipelines for a financial-services client, integrating source systems with target databases using Ab Initio and Azure Data Factory to deliver clean, governed data for BI and analytics.
Build and maintain AWS-based big-data pipelines (Glue, S3, RDS/DynamoDB) to transform and validate automotive data, using Python, PySpark, and Terraform.
Senior Data Engineer builds and maintains data pipelines and cloud warehouses (Snowflake/BigQuery) to power marketing analytics and media activation for a Cape Town agency.
Builds and automates ETL pipelines with KNIME, SQL, Python, and Java, then delivers Power BI dashboards for a tax and advisory business.
Build and maintain pipelines to ingest premium bordereaux and related insurance data from external providers, ensuring accuracy and timeliness for downstream analytics.
Build and maintain scalable data pipelines and cloud-based data solutions using Python, SQL, and cloud platforms (AWS/Azure/GCP) for AI-driven projects.
Senior Data Engineer builds and maintains high-availability data pipelines using Oracle GoldenGate, MSSQL/Oracle DBs, and cloud services to support broadcast media systems.
Build and maintain AWS-based big-data pipelines using Python, PySpark, Terraform, and AWS Glue to move and transform data while ensuring security and compliance.
Builds and maintains an AI-powered web and mobile app using Angular, Flutter, Firebase, and Google Gemini APIs, handling full-stack development and testing.
Design and build AWS-based ETL pipelines and data warehouses to consolidate operational data, then create dashboards and reports that help executives make data-driven decisions.
Design and build ETL pipelines, data models, and warehouses to consolidate operational data and enable business insights via dashboards and reports.
Data Engineer extracts, transforms, and loads data using SQL, Python, and AWS to build pipelines and deliver insights for clients.
Build and maintain SQL-based data pipelines and reports for a financial-services firm, using T-SQL, SSIS, SSRS, and Power BI to deliver BI solutions and improve business efficiency.
Builds and maintains data pipelines and warehouses using SQL and Azure big-data tools to feed analytics and AI teams.
Senior data engineer builds and maintains ETL/ELT pipelines, data lakes, and cloud infrastructure for a marketing organization, using Python, SQL, and AWS.
Build and maintain scalable data pipelines and ETL processes for an investment team, using Python, SQL, and Linux to integrate financial data into a centralized warehouse.
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