Sakshi Shah

About Sakshi Shah

Data engineer

Experience

1. Data Engineer

   Nike

   Dec 2022 — Present · New York, NY, US

   Architected and maintained scalable batch and streaming pipelines using Apache Airflow and Spark on AWS, enhancing ETL throughput and reducing data latency by 40%•Migrated legacy on prem data systems to Amazon Redshift and Google BigQuery, improving query speed by 45% and cutting cloud infrastructure costs by 30%•Integrated OpenAI GPT models and Hugging Face Transformers into data pipelines to auto summarize clinical notes and prior authorizations, reducing manual processing time by 60%•Designed ingestion frameworks with AWS Glue, S3, and Step Functions to support semi structured healthcare data, increasing ingestion efficiency by 50%•Implemented GCP native real time data ingestion workflows using Pub/Sub and Dataflow, enabling sub second event stream processing•Leveraged BigQuery ML to deploy classification models for claims data, improving fraud detection accuracy by 25%•Developed serverless validation workflows with AWS Lambda and Step Functions, improving data accuracy SLAs and reducing engineering overhead•Automated CI/CD workflows using GitLab, Docker, and Kubernetes, reducing deployment errors by 70% and enhancing pipeline reliability•Implemented HIPAA and GDPR compliant access controls and encryption using AWS IAM, KMS, and TLS, ensuring full data governance across cloud platforms.•Collaborated with data scientists, analysts, and compliance stakeholders across product and engineering teams to design

Education

• University of Rochester

  Master's degree, Business Analytics

• SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

  Postgraduate Degree, International Business

• SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

  Bachelor's degree, Business Administration, Branding and Advertising