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Lead the design and build of enterprise-scale data platforms on AWS and Databricks, mentoring engineers and owning ETL pipelines, data models, and BI integrations for analytics and AI initiatives.
Build and deploy scalable Azure-based data platforms and production ML solutions, leading end-to-end MLOps and data engineering for a client engagement.
Lead a team to design and build enterprise-scale data pipelines and analytics platforms using cloud data tools, ETL/ELT, and SQL optimization to power BI and reporting.
Leads a data engineering team to design and deliver data solutions for a large retail company, ensuring best practices in architecture and development.
Lead enterprise BI and data engineering efforts, designing Power BI dashboards and governing analytics across business functions while mentoring BI teams.
Lead the design and build of scalable data pipelines and platforms for a fintech company using AWS and Databricks to deliver real-time data products.
Lead the design and build of enterprise-scale data platforms using cloud tools (AWS/Azure), SQL, Python, Spark, and orchestration (Airflow) to deliver reliable, analytics-ready data for BI, AI, and reporting.
Lead the rebuild and migration of a cloud-native data warehouse, writing production-grade code and designing scalable data flows for a South African insurer.
Lead the design and delivery of enterprise-scale data platforms, building scalable ETL/ELT pipelines and cloud-native warehouses to power analytics, BI, and AI across the business.
Lead testing for data pipelines and ETL/ELT processes, designing validation checks and mentoring a small QA team while coordinating UAT with business users.
Lead the rebuild of MiWay’s data warehouse and migrate it to a cloud-native platform, designing scalable ELT pipelines, medallion architecture, and robust data governance for insurance analytics.
Lead a data team to modernize FinTech data infrastructure using Azure, Snowflake, and ELT/ETL pipelines while mentoring engineers and shaping governance.
Lead the design, build, and governance of enterprise data pipelines and models using Azure Synapse, Databricks, and SQL, while mentoring teams and ensuring data quality, security, and compliance.
Design, build, and operationalize secure, scalable cloud data platforms for clients, translating business needs into robust data architectures while mentoring teams.
Lead a team to design, build, and own Vimla’s scalable data platform in AWS, owning pipelines, warehousing, and integrations while coaching engineers and driving data-driven decisions.
Lead Data Engineer builds and owns a scalable data platform on AWS, designing pipelines and ensuring data quality for BI, analytics, and AI initiatives.
Designs and maintains Azure cloud infrastructure, automates deployments with Terraform, and leads CI/CD pipelines for a data platform using Airflow and Azure Databricks.
Lead the design and scaling of an AI-driven data platform using Snowflake, integrating product, growth, finance, and CX into a unified source of truth.
Owns and evolves Tennis Australia’s Azure Databricks-based data platform, building pipelines with Databricks, ADF and ADLS to feed analytics, AI and BI needs.
Lead a team to build and maintain real-time data pipelines and governance frameworks for an insurance company’s enterprise platforms using SQL and cloud technologies.
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