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Build and optimize cloud data pipelines and lake house architectures for a global iGaming provider, migrating on-prem systems to AWS/Azure and implementing Kafka-driven streaming pipelines.
Designs and delivers client-facing workshops on Databricks’ big-data platform, troubleshooting Spark workloads and cloud integrations to help customers turn raw data into actionable insights.
Lead a team building Grab’s Customer Data Platform, enabling real-time personalization, ML, and ad targeting by processing billions of events per hour with Python, Go, and distributed systems.
Leads a team to build and maintain Prudential Malaysia’s data lake and enterprise data model on Azure, enabling analytics, AI, and regulatory reporting while ensuring governance and compliance.
Build and maintain secure, governed ELT pipelines and data models on Azure and Databricks to power analytics and AI across a UK-based professional services group, ensuring high-quality, reconciled data for regulated entities.
Builds and maintains scalable finance data pipelines on GCP (BigQuery, Dataflow, Pub/Sub) to power reporting, FP&A, and analytics for McDonald's India, ensuring data reliability and governance.
Build and maintain reliable, high-performance data pipelines for a global market maker, ensuring data accuracy and availability to support trading and research systems.
Build and maintain reliable, high-performance data pipelines for a global market maker, ensuring data accuracy and availability to support trading and research operations.
Design and build scalable data pipelines and analytics infrastructure using Python, Spark, and AWS for large-scale data processing and real-time streaming.
Build and maintain reliable data pipelines and SRE practices to ensure data accuracy and availability for Optiver’s global trading systems.
Design and build Azure-based data platforms for banks in Dubai using medallion architecture, Databricks, and ETL pipelines to deliver analytics-ready datasets and support BI/AI workloads.
Build and maintain Azure-based data pipelines and warehouses using Synapse, Databricks, and ADF to turn SAP and other sources into clean, business-ready datasets.
Designs and optimizes cloud-based data pipelines on Azure (ADF, Databricks, Synapse) to enable enterprise analytics, ensuring scalability, governance, and performance for large-scale data initiatives.
Designs and maintains scalable data pipelines and cloud-native platforms to ensure reliable, high-quality data for analytics, BI, and AI use cases using SQL, Python, and Azure.
Build and maintain a GCP-based data lake and Spark pipelines to process ride-hailing, delivery, and financial data for a super-app serving 45+ cities across Africa and Europe.
Builds and maintains big data pipelines using Cloudera CDP, Spark, Hive, and Hadoop to support analytics and production systems.
Design and maintain scalable data pipelines and infrastructure to support AI, ML, and analytics initiatives for a global fintech trading platform.
Senior Data Engineer builds and maintains Azure-based data pipelines, warehouses, and lakehouses to power analytics and AI workloads using PySpark, Azure Synapse, and ADF.
Designs and builds scalable big-data pipelines using Spark, Hadoop, and Kafka, primarily in Java/Scala/Python, on AWS or Azure.
Build and operate large-scale data infrastructure (SQL/NoSQL, Kafka, Hadoop) and cloud-native systems to ensure reliability and performance for Criteo's adtech platform.
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