Resume
Summary
Senior Data Engineer with X+ years of experience building and operating data platforms at scale. Proficient in modern data stack tooling — dbt, Snowflake, Airflow, Kafka, and cloud infrastructure (AWS/GCP). Passionate about data quality, pipeline reliability, and developer experience for data teams.
Experience
Senior Data Engineer
- Designed and built company-wide data platform serving 50+ analysts and data scientists
- Migrated legacy ETL pipelines to dbt + Airflow, reducing failure rate by 80%
- Implemented data quality framework with automated testing and alerting
- Led adoption of infrastructure-as-code (Terraform) for all data resources
Data Engineer
- Built real-time streaming pipelines processing 1M+ events/day with Kafka and Flink
- Developed data models and transformations in dbt with comprehensive testing
- Created internal tools for data discovery and lineage tracking
Skills
Languages
Python, SQL, Java, TypeScript
Data Engineering
dbt, Airflow, Kafka, Flink, Spark, Snowflake, BigQuery, Redshift
Cloud & Infrastructure
AWS (S3, EMR, Glue, Lambda), Terraform, Docker, Kubernetes, CI/CD
Analytics & ML
Streamlit, LangChain, vector databases, RAG pipelines