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Build and maintain scalable data pipelines and models to power analytics and insights for TikTok’s Video-on-Demand services using Spark, Flink, and distributed OLAP stores.
Builds and optimizes the core, low-latency backend for a new global crypto exchange using Scala/Java/Go in a fast-growing startup.
Lead backend architecture and scaling efforts for a fast-growing multi-currency payment platform, using Java/Python and cloud-native tools.
Build and maintain scalable data pipelines and infrastructure to power analytics and machine learning at a Southeast Asian AI venture.
Build and optimize big-data pipelines and analytics using Hadoop, PySpark, Scala, and Python to process large-scale datasets and integrate data from multiple sources.
Builds scalable data pipelines and backend services using Java, SQL, and Scala to power analytics and reporting for a fintech company.
Lead a backend team building secure, scalable SSO microservices in Java 17/21 on GCP/Kubernetes, ensuring fast, clean code delivery with TDD and DDD.
Leads a team to design and implement data pipelines and warehouses for a large bank, ensuring secure, high-quality data access for analytics and compliance.
Design and deploy containerized data pipelines on OpenShift for banking analytics, using Spark, Hadoop, and Python to transform and enrich financial data for ML and reporting.
Designs and maintains scalable data pipelines and cloud-based data warehouses to feed analytics and AI models, using Python, Spark, Kafka, and cloud platforms like AWS/Azure/GCP.
Design and build scalable data pipelines on Databricks and cloud platforms, integrating diverse data sources to enable AI-driven analytics and business insights for enterprise clients.
Builds and scales high-performance backend services and APIs for a global travel platform using Scala/Kotlin.
Designs and builds scalable data pipelines in Java/SQL to integrate and process data for analytics, ensuring robust and efficient data solutions.
Build and maintain cloud data infrastructure on AWS and Databricks, using Python and Informatica IDMC to design pipelines, integrate data sources, and ensure quality and governance.
Build and maintain AI-powered data pipelines for clinical and sensor data, integrating with cloud platforms and AI algorithms to support healthcare analytics.
Build and maintain data pipelines to track user growth metrics, optimize conversion pathways, and support AI-driven initiatives like AIGC and ad delivery for TikTok’s global user base.
Build and maintain scalable data pipelines using Spark, Scala, and Elasticsearch to power AML and financial crime compliance solutions on Quantexa.
Designs and builds scalable backend systems in Node.js/JavaScript and Java/Scala for a SaaS platform in fintech, focusing on APIs, microservices, and compliance.
Principal Software Engineer at Cloudera leading the design of large-scale distributed systems using Java, Spark, Kafka, and Iceberg, while mentoring teams and solving complex data-platform challenges.
Build and maintain large-scale offline computing systems for TikTok’s recommendation engines, using big-data frameworks like Flink/Spark and ML stacks such as PyTorch.
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