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Build and optimize scalable data pipelines and AI platforms using cloud, ETL tools, and SQL for enterprise clients.
Build and optimize PySpark pipelines for large-scale data processing, using HDFS, YARN, and Spark SQL to deliver clean datasets for analytics and reporting.
Build and optimize PySpark pipelines for large-scale data processing, tuning performance and integrating with Hadoop, HBase, and SQL databases.
Build and maintain large-scale data pipelines and products for the App Store, processing petabytes daily to generate insights while ensuring privacy and correctness.
Builds and optimizes scalable Java-based data pipelines and microservices using Spring, JPA, and PostgreSQL for an ad-tech company.
Build and maintain scalable ETL/ELT pipelines and data warehouses to track USDC movement across blockchains, enabling analytics on holdings, use cases, and growth opportunities.
Build, deploy and maintain Java-based enterprise applications using Spring, microservices, Docker/Kubernetes, and Oracle/PostgreSQL, with CI/CD and parallel processing.
Builds and maintains scalable Java-based services and distributed systems for Rocket Lawyer Mexico’s platform, collaborating in an Agile team.
Build and operate AI-powered data platforms and applications for Disney’s vacation brands, designing cloud-native pipelines and AI frameworks to turn raw data into insights and guest experiences.
Builds and optimizes data pipelines for regulatory reporting in banks using Python, ETL tools, and big-data tech like Spark and Kafka.
Build and optimize a large-scale pet-products marketplace using Java, Spring Boot, and event-driven microservices on AWS/Azure/GCP.
Build and maintain cloud-based data pipelines and warehouses (BigQuery, Vertica) to power real-time analytics and ML for a large-scale internet search platform using Spark, Kafka, and AWS.
Design and build scalable big-data pipelines for clients, using Hadoop/Spark, cloud data services, and orchestration tools like Airflow to store, transform, and expose data.
Build and maintain a high-stakes data platform using Spark, Kafka, Scala/Java, and DevOps tools to deliver real-time and batch data pipelines and REST APIs.
Lead a team to design and build scalable data pipelines and platforms for clients, advising on cloud and big-data tech while enforcing DevOps, FinOps, and governance best practices.
Build and maintain Wizaly’s data pipelines and attribution algorithms using Scala/Spark and SQL, ensuring accurate, real-time marketing performance insights for clients.
Build and maintain full-stack Java/Angular applications for major insurance and public-sector clients, using Spring Boot, microservices, and modern frontend tooling in an Agile environment.
Build and maintain a high-performance pet-products marketplace platform using Java backend and React frontend, focusing on scalable distributed systems and low-latency APIs.
Lead a team building production-grade AI/ML systems and data pipelines for clients, focusing on clean code, scalable architectures, and end-to-end ownership using Python/Scala and big-data stacks like Spark and Snowflake.
Build and enhance a big-data post-trade system in Java, processing high-volume XML messages via IBM MQ and ingesting data into HDFS/HBase with Spark and Scala.
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