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Build and maintain scalable data pipelines and platforms for AML and payments in banking, using Python, Spark, Snowflake, and Azure to process and transform financial data for analytics and compliance.
Build and maintain scalable data pipelines for real-time pricing systems using AWS, Spark, and Airflow, enabling data-driven decisions for a mobility platform.
Build and maintain scalable data pipelines using Python, Spark, AWS, and Snowflake to power analytics and insights for a global restaurant group.
Builds and maintains scalable data pipelines and analytics infrastructure using Python, Spark, and Snowflake to process large datasets and generate business insights.
Build and maintain data pipelines and ETL processes using PySpark, Airflow, and Databricks to power analytics and customer-focused products for a large retail company.
Build and maintain scalable data pipelines and analytics infrastructure using Python, Spark, and Snowflake to power business insights and decision-making.
Builds and optimizes big-data pipelines using Hadoop, Spark, and SQL for a banking analytics platform, ensuring scalable ETL and reporting.
Builds and maintains big-data pipelines using Spark, Scala, Hive, and SQL for a financial-sector client, with optional real-time streaming.
Build and optimize data pipelines using Python, PySpark, and HBase to power analytics and rule-based systems for a fintech-focused software team.
Builds and optimizes Python-based data pipelines using Spark, PySpark, and HBase to process and transform large datasets for backend services and APIs.
Build and maintain IBM’s Quantum Software data lake, designing scalable pipelines and orchestration workflows to power analytics and insights for quantum computing.
Builds and maintains data pipelines and infrastructure to power AI/ML applications, collaborating with data scientists to integrate models into systems.
Build and optimize data pipelines to process large financial datasets, then engineer ML features and models that power AI-driven banking solutions using Python, Spark, and NoSQL databases.
Builds and maintains automated test frameworks for Apple’s App Store analytics backend, validating data pipelines and ETL workflows using Python/Java, SQL, and CI/CD.
Migrate legacy banking data to new enterprise data marts using SQL, Hive, Impala, and Oozie, then validate and automate reports.
Build data-mining pipelines and ML models to extract insights from e-commerce data, tagging systems, and user behavior to optimize GMV and productization.
Designs and maintains scalable data pipelines, ETL processes, and warehouses to collect, process, and analyze financial data in real-time and batch modes using tools like Informatica, Spark, and Python.
Build and maintain analytics-ready data marts and pipelines for a crypto exchange, using dimensional modeling, Spark/Flink, and cloud data tools to power business decisions.
Build and maintain large-scale data infrastructure for a top crypto exchange, integrating AI agents to automate scheduling, cost optimization, and incident response across distributed systems.
Build and maintain full-stack e-commerce systems using Java/Spring, MySQL, NoSQL, Kafka, and cloud data tools while collaborating across global teams.
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