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Build and maintain cloud-native data pipelines in Snowflake and AWS Lambda using SQL, Python, dbt, and orchestration tools to power analytics, billing, and AI/ML workloads for a gaming company.
Design and migrate data infrastructure to a cloud lake-house, build scalable pipelines, and mentor junior engineers for an online gaming company.
Design and build scalable Microsoft-based data pipelines and warehouses that power analytics, BI, and ML for enterprise clients.
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 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.
Design and build scalable data pipelines and platforms in Python and SQL, integrating cloud and on-prem systems to power analytics and AI solutions.
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.
Designs and builds scalable data pipelines and warehouses in Azure, using T-SQL, KQL, Python, and Power BI to support analytics and AI integrations for a Microsoft cloud and AI-focused company.
Designs and maintains scalable data pipelines and cloud-based data platforms using AWS, Microsoft Fabric, and Databricks to support analytics and machine learning for a financial-services company.
Senior Cloud Data Engineer designs and builds scalable, cloud-agnostic data pipelines using Azure, Databricks, Spark, and Delta Lake, optimizing for performance and cost while mentoring junior engineers.
Build and maintain data pipelines for financial analytics in a gaming company, ensuring reliable real-time and batch processing for payments and reporting.
Designs and builds scalable data pipelines, ETL/ELT processes, and cloud-native data warehouses to support enterprise analytics and reporting using Azure, AWS, or GCP.
Build and maintain data pipelines and infrastructure for marketing analytics and product insights using GCP, Snowflake, Matillion, and Amplitude to power AI-driven client reporting.
Designs and builds scalable data models and ETL pipelines to turn raw financial data into trusted, analytics-ready datasets for BI and reporting.
Build trusted data products that power enterprise decision-making for a South African financial institution, transforming raw data into analytics-ready datasets using SQL, ETL/ELT, and cloud platforms like Azure and Databricks.
Build and maintain analytics-ready datasets and ETL/ELT pipelines using SQL, Power BI, Azure Synapse, and Microsoft Fabric to support business reporting and decision-making.
Builds and maintains analytics-ready datasets in Microsoft’s stack (Azure, Synapse, Fabric) and Power BI to power business reporting and dashboards.
Data analyst builds dashboards, KPI systems, and DWH for a new cloud platform, using SQL, Python, and BI tools to analyze IT processes and prep data for AI.
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