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Emma Chen

[email protected]•(123) 456-7890•linkedin.com/in/emmachen

WORK EXPERIENCE

Snowflake

Mar 2021-Present

Senior Data Engineer

San Mateo, CA
  • Architected and implemented data pipelines processing 5TB+ daily using Snowflake, dbt, and Airflow
  • Reduced data processing costs by 40% through query optimization and implementing efficient partitioning strategies
  • Led migration of legacy ETL processes to modern ELT architecture, improving data freshness by 6 hours

Databricks

Jun 2019-Feb 2021

Data Engineer

San Francisco, CA
  • Built real-time data streaming pipelines using Apache Spark and Delta Lake, processing 1M+ events per second
  • Implemented data quality monitoring framework reducing data incidents by 60%

PROJECTS

Data Lake Architecture

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  • Designed and implemented data lake using AWS S3, Glue, and Athena, enabling self-service analytics for 200+ users
  • Automated metadata management and data discovery using Apache Atlas

Stream Processing Platform

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  • Built streaming analytics platform using Kafka, Flink, and Elasticsearch for real-time metrics and alerting

TECHNICAL SKILLS

Skills

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  • Languages & Tools: Python, SQL, Scala, Apache Spark, Airflow, dbt, Docker, Kubernetes
  • Databases: Snowflake, PostgreSQL, MongoDB, Cassandra, Redis
  • Cloud: AWS (S3, Redshift, EMR), GCP (BigQuery, Dataflow), Azure

EDUCATION

University of Michigan

Sep 2017-May 2019

M.S. Data Science

  • Relevant Coursework: Distributed Systems, Big Data Processing, Database Management, Data Mining