John Doe

📍 San Francisco, CA | 📞 (555) 012-3456 | 📧 john.doe@email.com | 🔗 linkedin.com/in/johndoe

Professional Summary

Results-driven Senior Data Engineer with 8+ years of experience designing and optimizing scalable data pipelines. Expert in cloud migrations (AWS/Azure) and real-time streaming architectures. Proven track record of reducing infrastructure costs by 22% and improving query performance by 50%.

Technical Skills

Languages: Python, SQL (T-SQL, PL/SQL), Java, Scala

Cloud: AWS (Glue, Redshift, S3), Snowflake, Google BigQuery

Tools: Apache Spark, Airflow, Kafka, Docker, Kubernetes

Modeling: Star Schema, Data Vault 2.0, ETL/ELT Design

Professional Experience

TechStream Solutions Jan 2021 – Present

Senior Data Engineer

Orchestrated serverless data lakes using AWS Lambda and Glue, scaling to process 5TB+ of daily ingestion.
Implemented real-time streaming with Kafka, reducing data lag from 4 hours to under 30 seconds.
Mentored a team of 5 junior engineers and established CI/CD best practices for SQL deployments.

DataBridge Corp June 2017 – Dec 2020

Data Engineer

Migrated on-premise Hadoop clusters to Snowflake Cloud Warehouse, resulting in a 35% reduction in annual maintenance costs.
Optimized complex Spark jobs and SQL indexing, improving query response times by 40% for the business intelligence team.
Developed automated data quality frameworks using Python, ensuring 99.9% data accuracy across production tables.

InnoTech Labs Jan 2015 – May 2017

Junior Data Engineer

Assisted in building ETL pipelines for e-commerce analytics using SSIS and SQL Server.
Maintained and documented 200+ stored procedures, improving system observability by 20%.
Collaborated with data scientists to prepare clean datasets for predictive modeling.

Education

University of Technology 2010 – 2014

Bachelor of Science in Computer Science

Certifications

AWS Certified Data Engineer – Associate
Google Professional Data Engineer
Snowflake Pro Core Certification