CV / English / Big Data Architect

Person Information

  • Name: Alexander Turing
  • Address: 145 Data Lane, Codeville, CA 94022
  • Email: [email protected]
  • Phone: +1 (555) 123-4567


A visionary Big Data Architect with over 8 years of experience in designing, implementing, and managing large-scale data processing systems and providing strategic solutions. Skilled in leveraging big data technologies to drive innovation, efficiency, and competitive advantages. Proven ability to lead cross-functional teams in deploying scalable and robust architecture to meet evolving business needs.

Core Competencies

  • Big Data Strategy and Architecture
  • Data Modeling and System Design
  • Performance Tuning and Optimization
  • Cloud Computing (AWS, Azure)
  • Machine Learning and Analytics
  • Data Privacy and Security

Technologies and Certifications

  • Languages: Java, Scala, Python
  • Big Data Technologies: Hadoop, Spark, Kafka, Hive
  • Databases: Cassandra, MongoDB, MySQL
  • Cloud Platforms: AWS, Azure, GCP
  • Certifications:
    • Certified Data Architect - Big Data (CDA-BD)
    • AWS Certified Solutions Architect
    • Azure Data Engineer Associate

Professional Experience

Lead Big Data Architect - DataSolutions, Inc.

  • Location: San Francisco, CA
  • Duration: March 2018 - Present

Responsibilities: - Designed a multi-petabyte data platform using Hadoop and Spark, improving data processing speed by 300%. - Led the migration of on-premise data architecture to a fully-managed cloud environment, reducing operational costs by 20%. - Implemented robust data security measures, ensuring compliance with GDPR and other data protection regulations.

Senior Data Engineer - TechInnovate

  • Location: New York, NY
  • Duration: July 2013 - February 2018

Responsibilities: - Developed and optimized data pipelines for big data analytics applications. - Collaborated with data scientists to integrate machine learning models into production. - Spearheaded the evaluation and adoption of cutting-edge big data technologies.

Education and Training

  • Master of Science in Computer Science, with a focus on Big Data Technologies, Stanford University, 2013
  • Bachelor of Science in Computer Science, Massachusetts Institute of Technology (MIT), 2011


Available upon request.