S

Syeda Yasir

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California, United States

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work
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Résumé


Jobs verified_user 0% verified
  • Z
    Big Data Engineer
    Zilliz
    Mar 2018 - Dec 2021 (3 years 10 months)
    • Designed and optimized scalable data pipelines to support high volume AI/ML workloads leveraging Apache Spark, Databricks, Delta Lake, and distributed processing across Azure and AWS environments.
  • Alteryx
    Data Engineer
    Alteryx
    Jul 2015 - Apr 2018 (2 years 10 months)
    • Modeled data into star schemas and dimensional models for analytics and BI using Power BI and SQL. • Integrated structured and unstructured data sources into cloud data lakes (AWS S3, Azure Data Lake) for unified reporting. • Implemented automated validation checks with Great Expectations, reducing bad data incidents by 50%. • Created metadata-driven ingestion patterns using Airflow DAGs and configuration files. • Monitored ETL performance with Grafana, establishing real-time alerts for failures and latency issues. • Supported cloud data warehouse optimization, including partitioning and caching strategies.
  • Stride Consulting
    Senior Data Engineer
    Stride Consulting
    • Architected and deployed scalable, cloud-native data pipelines using Apache Spark, Delta Lake, and Databricks, boosting processing throughput by 30% across AI/ML workloads.
Education verified_user 0% verified
  • D
    Databricks Certified Data Engineer Associate Microsoft Certified: Azure AI Engineer Associate TensorFlow Developer Certi
  • B
    Bachelor of Science
Projects (professional or personal) verified_user 0% verified
  • H
    Healthcare Knowledge Assistant Powered by LLM
    • Engineered an AI assistant on Azure OpenAI leveraging retrieval-augmented generation (RAG) and OpenSearch vector retrieval to respond to provider FAQs from internal documentation. Integrated with React frontend and Azure API Management. • Created a scalable LLMOps pipeline enabling retraining, prompt tuning, and evaluation for a healthcare chatbot using Azure OpenAI and MLflow.
  • F
    Financial Forecasting MLOps Pipeline
    • Built a comprehensive CI/CD pipeline for time-series forecasting models utilized in budgeting and financial planning. Integrated with Databricks and Power BI to automate retraining, detect drift, and provide dashboards for finance teams.