Data Engineer, Cloud Solutions Architect, Big Data Consultant

Chicago, Hybrid, Remote

Professional Summary:
A highly skilled data engineer with over 5 years of experience in designing, developing, and optimizing big data infrastructures across multiple industries. Demonstrates extensive proficiency in cloud environments (AWS, Azure, GCP), big data technologies (Hadoop, Spark, Kafka), and hands-on expertise with ETL processes, data lakes, and large-scale data processing. Proven track record of improving data pipeline efficiency, developing scalable solutions, and driving operational cost savings through automation and optimization. Strong team collaborator with excellent communication skills, fostering a cooperative team environment while mentoring junior members.

Industry/Sector:

  • Financial Services: Led data migration and risk platform optimization projects, leveraging big data and cloud technologies to enhance processing speed and reliability.
  • Healthcare: Architected and optimized data warehouses for patient analytics, contributing to real-time data accessibility.
  • Technology and Cloud Services: Designed and deployed scalable data solutions in hybrid cloud environments, improving operational efficiency and reducing processing time.

Quantifiable Impacts:

  • Increased data processing capacity by 20% through the implementation of a Kubernetes-based infrastructure.
  • Reduced ETL runtime by 20% by optimizing SQL scripts and partitioning techniques.
  • Improved data processing speed by 40% through efficient file parsing and data ingestion routines.
  • Reduced operational costs by 25% through optimized data storage using Apache Parquet.
  • Enhanced project decision-making efficiency by 25% by delivering actionable data insights through comprehensive data analysis.
  • Decreased model training time by 50% by implementing distributed ML solutions on AWS.

Education/Certifications/Licensure:

  • Bachelor’s Degree in Computer Science
  • AWS Certified Solutions Architect
  • Microsoft Azure Data Engineer Associate
  • Certified Hadoop Developer

Technical Skills:

  • Big Data Technologies: HDFS, Spark, Kafka, Hive, MapReduce, HBase, Snowflake
  • Cloud Platforms: AWS, Microsoft Azure, GCP
  • Databases: MySQL, Oracle, SQL Server, MongoDB
  • Programming Languages: Python, Java, Scala, SQL
  • Tools: Jenkins, Docker, Kubernetes, Tableau, Power BI, Airflow

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