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Build a next-gen card platform for a large financial enterprise using Java, Spring Boot, Kafka, and Cassandra, deploying to OpenShift via Azure DevOps.
Designs, builds, and modernizes backend services for ING’s global debit/credit card platform (Java/Spring Boot), migrating legacy systems and enabling new subscription models while mentoring juniors and leading end-to-end feature delivery in an autonomous Agile team.
Designs and maintains real-time streaming data systems (e.g., Flink, data lakes) for TikTok’s billion-user recommendation engine, ensuring scalability, stability, and high performance for video, live streams, and e-commerce features.
Build and maintain TikTok’s real-time streaming data systems using Flink, Java/Scala, and data-lake tech to power billion-user recommendation features.
Build and maintain scalable data pipelines and ML inference systems to turn predictions into reliable, production-ready data products using Python, Spark, Databricks, and Azure DevOps.
Build and improve Elasticsearch’s search relevance and vector search features in Java, contributing to open-source Lucene and collaborating globally to enhance search performance and accuracy.
Build predictive models and advanced analytics to inform housing policy and risk decisions using Python/R, SQL, and big-data tools like Spark.
Builds and maintains scalable data pipelines, warehouses, and APIs to extract, transform, and integrate data across systems, ensuring accuracy and compliance while collaborating with cross-functional teams in an Agile environment.
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools like AWS and Python, while collaborating with cross-functional teams to deliver data-driven products.
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools (AWS, Azure, GCP) and SQL/Python to integrate and clean data for analytics.
Senior Data Engineer builds and maintains scalable ETL pipelines and distributed data infrastructure using Python, Spark, AWS, and GCP.
Build and maintain scalable data pipelines using Python, Spark, and cloud services (AWS/GCP) to process and transform large datasets efficiently.
DevOps engineer maintains and improves production systems for a financial consulting firm, automating CI/CD pipelines and ensuring uptime with tools like Docker, Kubernetes, and Ansible.
Builds and deploys Java-based microservices on Kubernetes, focusing on REST APIs, event-driven systems, and secure authentication for scalable backend services.
Data scientist role building predictive models, statistical analyses, and simulations for financial risk and business optimization using Python/R and big-data tools.
Builds and optimizes scalable data pipelines for a European customer loyalty app (130M users), handling massive customer/transaction data to enable segmentation, personalized campaigns, and AI-driven marketing analytics. Core tech: Python, SQL, Databricks, Airflow, Spark, Kafka, Kubernetes, and relational/non-relational databases.
Designs and maintains scalable data pipelines and cloud infrastructure to ingest, process, and serve clean data for analytics and operations using Python, SQL, ETL tools, and cloud platforms.
Design, develop, and test backend components for a retail-banking platform using Java/Spring, microservices, and DevOps tooling, while supporting production and collaborating in an agile squad.
Designs, builds, and maintains enterprise data warehouses, ETL pipelines, and BI dashboards using SQL Server, SSIS, SSAS, and Power BI to deliver analytics and reporting for business decisions.
Designs and optimizes large-scale data pipelines and parsers using Python, Java, Scala, and various databases (SQL, NoSQL, graph, vector) for enterprise clients.
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