CV / English / Data Engineering Lead

William Hartfield

• Address: 456 Technology Drive, Innovation City, CA 94301
• Phone: (555) 123-4567
• Email: [email protected]

Brief

A seasoned Data Engineering Lead with over 10 years of experience in designing, building, and optimizing data systems and team leadership. Skilled in understanding complex data issues, developing ETL processes, and streamlining data flow and collection for cross-functional teams. Proven track record of leveraging big data technologies and analytics to drive effective decision-making, improve operational efficiency, and foster innovation.

Core Competencies

• Data Architecture & Modeling
• Team Leadership & Mentoring
• ETL Design & Implementation
• Big Data Technologies
• Data Integrity & Quality Assurance
• Performance Tuning & Scalability
• Agile Methodologies
• Strategic Planning & Execution

Technologies & Certifications

• Languages: Python, SQL, Java, Scala
• Frameworks/Tools: Hadoop, Spark, Kafka, Airflow, Snowflake, AWS/GCP/Azure data services
• Databases: MySQL, PostgreSQL, MongoDB, Cassandra
• Certifications: Certified Data Engineering Professional, AWS Certified Solutions Architect, Google Cloud Professional Data Engineer

Professional Experience

Lead Data Engineer

Tech Innovations Inc., San Francisco, CA June 2016 – Present - Led a team of 10 data engineers to design and implement robust ETL pipelines that increased data processing efficiency by 40%. - Architected a scalable data platform on AWS that supports real-time data streaming, processing, and analytics, serving over 5 million users. - Pioneered the adoption of Spark for large-scale data processing which reduced batch processing time by 50%. - Mentored junior engineers, leading to a 30% increase in team productivity.

Senior Data Engineer

Data Solutions Ltd., New York, NY January 2013 – May 2016 - Developed and optimized data models and ETL processes for customer analytics, resulting in a 20% increase in customer insight accuracy. - Collaborated with cross-functional teams to integrate new data sources into the corporate data warehouse, broadening analytical capabilities. - Implemented data governance and quality frameworks to ensure the accuracy and integrity of critical business data.

Education & Training

Master of Science in Data Science University of California, Berkeley, CA 2011 – 2013

Bachelor of Science in Computer Science Massachusetts Institute of Technology (MIT), Cambridge, MA 2007 – 2011

Referees

Available upon request.