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Designs and builds secure, scalable cloud data pipelines for financial clients, ensuring data integrity and quality while collaborating with stakeholders.
Builds and scales ML pipelines using Scala and Python, applying ML Ops practices to improve model performance and reporting.
Build and optimize Microsoft-based data infrastructure for real-time financial analytics, fraud detection, and BI systems using Azure Data Platform and Microsoft Fabric.
Build and maintain scalable data pipelines and ETL workflows in Python and SQL, integrating real-time data sources to power an AI-driven compliance automation platform.
Design and build large-scale data pipelines in Java/Scala, lead data migration projects, and provide technical guidance across data initiatives using cloud platforms.
Design and build scalable Microsoft-based data pipelines and warehouses that power analytics, BI, and ML for enterprise clients.
Designs and maintains scalable data pipelines and ETL processes using SQL, SAS, and Oracle to integrate and ensure data quality across systems.
Design and scale robust data pipelines and infrastructure for AI-driven infrastructure projects, using cloud-native tools like Spark, Kafka, and Airflow to process IoT and telemetry data.
Designs, builds, and optimizes Azure-based data pipelines and lakehouse architectures using ADF, Databricks, Synapse, and PySpark to deliver clean, reliable datasets for analytics and AI workloads.
Build and maintain scalable BI pipelines for the South African Reserve Bank, integrating diverse data systems to enable secure, compliant data-as-a-service for analytics.
Build and maintain batch and real-time data pipelines using SQL, Python, and tools like Spark and Airflow to feed analytics and operational systems.
Build and maintain scalable data pipelines and lakehouse infrastructure to power analytics and operations using Python, Spark, Airflow, and modern storage systems.
Build and automate data pipelines using SQL, Python, Java, and KNIME to integrate and transform data for analytics and reporting in a tax and advisory business.
Design and build scalable data pipelines and platforms in Python and SQL, integrating cloud and on-prem systems to power analytics and AI solutions.
Lead the design and implementation of enterprise-wide data pipelines and storage solutions for a major African bank, using relational/NoSQL databases, streaming platforms, and CI/CD automation.
Build and maintain ETL pipelines to move transactional data into a modern data warehouse, write SQL transformations, and ensure clean, reliable data for analytics and risk teams.
Build and maintain scalable data pipelines and warehouses for a fintech payments platform, enabling analytics and AI readiness with SQL, Python, and cloud tools.
Build and maintain secure, compliant big-data pipelines on AWS, using Python, PySpark, and Terraform to provision analytics-ready datasets for enterprise reporting and governance.
Build and maintain edtech platforms (student, mentor, and placements portals) using Python, Django, and modern web technologies.
Builds and maintains data pipelines and dashboards for a fintech firm, using SQL, SSIS, and BI tools like QlikView and Power BI to integrate and visualize financial data.
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