Rebecca Raezada is a Senior Data Engineer based in San Francisco with 14 years of experience and over 9 years focused on designing scalable pipelines, warehouses, and high-throughput systems. She has driven measurable impact—leading a Postgres-to-Spark migration that cut processing costs by 40% while boosting ingestion rates 100x and building Kafka/FAST API/GRPC architectures that supported up to 400K+ msgs/sec. Her background spans retail, adtech, and fintech use cases at companies like Unit21, Stash, and Walmart engagements, with deep hands-on skills in Snowflake, Databricks, Airflow, and monitoring/operational dashboards. Early career QA and open-source QA contributions to the W3C CSS Working Group reflect a persistent attention to correctness and test automation across both data and web-spec domains. She pairs strong technical execution with business impact—turning complex data migrations and real-time pipelines into demonstrable revenue and performance improvements.
14 years of coding experience
11 years of employment as a software developer
B-Tech Electronics and Copmmunication, B-Tech Electronics and Copmmunication at Motivational Pathway
Intermediate physics chemistry maths computer science, Intermediate physics chemistry maths computer science at St Fidelis College
University of California Santa Cruz
Diploma Child Psychology, Diploma Child Psychology at Udemy
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at San Francisco Bay University
Contributions summary:Rebecca's contributions primarily involve adding and modifying test annotations and updating test suite links within various CSS specification documents. This suggests a focus on ensuring the accuracy and functionality of CSS implementations through rigorous testing. The user's work directly supports the CSS Working Group by maintaining test suites and improving the test coverage for different CSS modules.
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