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Lead the architecture and hands-on development of a next-gen streaming and analytics platform for a fast-growing fintech company, using Kafka, Spark, Flink, and Snowflake to process billions of financial events.
Builds and scales a data platform and pipelines for a trading business using Python, SQL, cloud tech, and data lakehouse tools like Apache Iceberg.
Lead a 5–7 person team to design, build, and scale low-latency data infrastructure for a high-frequency trading firm, using Python, Java, Kafka, and Delta Lake/Iceberg.
Sell Google Cloud’s data analytics and AI solutions to enterprise clients, advising on BigQuery, Looker, and GenAI to drive digital transformation and measurable business outcomes.
Build and scale Trino/Iceberg-based data pipelines for Wise’s finance team, transforming raw financial events into audit-ready reports using Medallion Architecture and Kafka.
Lead a global KYC and risk data platform team, designing secure, scalable data pipelines and frameworks in Python/PySpark, cloud-native stacks, and modern data tools.
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 builds cloud data platforms on AWS, Azure, and GCP using SQL, Python, and ETL best practices for enterprise clients.
Build and own the cloud infrastructure and MLOps platform for a regulated fintech firm’s AI trading systems on AWS, including Kubernetes, CI/CD, and model deployment pipelines.
Build and maintain scalable data ingestion pipelines and ETL/ELT processes for a cardiac remote monitoring platform using Python, Spark, and AWS.
Build and maintain GoodNotes' AI-native data infrastructure, designing scalable pipelines and models to power analytics, experimentation, and AI-driven features in a hybrid Singapore role.
Build and maintain backend services and APIs for payment and reconciliation platforms using Java/Kotlin, Spring Boot/Quarkus, and cloud-native tooling.
Middle Software Engineer builds and optimizes a distributed SQL query engine for a large-scale data lakehouse platform, using Java/C++ and cloud-native tools to process analytical workloads across heterogeneous data sources.
Senior Data Engineer designs and governs enterprise-scale data platforms, virtualization layers, and real-time pipelines using Denodo, Qlik Talend/Replicate, and IBM WatsonX Orchestrate.
Build and scale an event-driven data platform using Apache Kafka, Java/Spring Boot, and Kafka Streams to integrate and process data across business systems.
Lead a data platform team to build scalable, self-service data products using modern architectures like Lakehouse and Apache Iceberg, while enforcing governance and cost optimization for a proptech company.
Build and optimize real-time risk and fraud systems for Wise’s North American market using Java/Kotlin and Spring, ensuring sub-second latency while processing billions in transactions.
Technical Product Analyst designs and validates storage features for Veeam's SaaS and flagship products, focusing on object storage, APIs, encryption, and ransomware resilience.
Senior Data Engineer builds scalable batch and real-time data pipelines on a Lakehouse platform using Snowflake, Databricks, AWS, Kafka and Flink to power analytics and AI across a property-tech marketplace.
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