Matthew Ivezaj
@matthewivezaj
LLM Data Engineer with expertise in cloud technologies and analytics.
What I'm looking for
I am an LLM Data Engineer with a Master of Science in Information Technology and a strong foundation in cloud technologies, particularly AWS and Azure. My journey in data engineering has equipped me with a diverse skill set, including proficiency in SQL, scripting, and big data technologies like Hadoop and Spark. I have a proven track record of enhancing operational efficiency through automation and data analytics, which I demonstrated while analyzing airline statistics and developing machine learning models.
Throughout my career, I have successfully collaborated with distributed teams to implement cloud infrastructure and streamline workflows. My experience spans various roles, including IT Specialist and DevOps Software Engineer, where I utilized my technical skills to improve security measures and optimize data processing. I am passionate about leveraging data to drive decision-making and am eager to contribute my expertise to innovative projects.
Experience
Work history, roles, and key accomplishments
Cloud Practitioner
Professional Development
Nov 2023 - Present (1 year 8 months)
Analyzed airline statistics from a CSV file, performed regression, multiple linear regression, and clustering to compute KPIs and evaluate airline performance with the goal of identifying optimal planes across different airlines. Configured an AWS environment, created a Python 3.8 Lambda function named Mytestlambdafunction, set up a CloudWatch alarm for error monitoring with an SNS email notificat
IT Specialist (Cyber Security)
Department of Homeland Security
Jun 2023 - Aug 2023 (2 months)
Utilized Hadoop to perform analytics over data drawn from ArcGIS systems and developed meaningful reports to deliver to management. Integrated cloud APIs to enhance security analytics and streamline access controls, increasing efficiency of reporting and metrics by 24%.
Identity, Developer, and Systems Analyst
Raytheon Technologies (Collins Aerospace Business Unit)
Aug 2022 - Feb 2023 (6 months)
Utilized Hadoop and other technologies to perform analytics over IAM users acquired from databases to utilize in reporting and supporting the IT Support Team. Automated identity management/DevOps workflows using Python scripting within Django architecture and LDAP technologies, reducing waste on the network by 18%.
DevOps Software Engineer
Dow Jones
Jun 2022 - Aug 2022 (2 months)
Developed Python automation scripts to enhance cloud security authentication processes by 22% and data processing by 17%. Developed a CI/CD pipeline between Jenkins and vulnerability scanning tools like Checkmarx to scan developer code.
IT Security Analyst
Acxiom
Jun 2021 - Jun 2022 (1 year)
Utilized Hadoop to perform analytics over Systems and IAM directories to include within reporting. Developed scripts to automate security tasks within Azure and built APIs to acquire data from customers and used AI to efficiently process that data.
Cyber Threat Intelligence Analyst
Department of Homeland Security
May 2020 - Aug 2021 (1 year 3 months)
Worked with team members to create threat reports regarding security threats against cloud environments, delivered briefings to senior leaders and client teams. Automated cyber threat intelligence gathering from various systems through cloud technologies and analyzed events using Python scripting, streamlining workflows by 18%.
Education
Degrees, certifications, and relevant coursework
Walsh College
Master of Science, Information Technology, Data Science
Grade: 3.736
Completed a Master of Science in Information Technology with a specialization in Data Science. Achieved a GPA of 3.736, demonstrating strong academic performance in advanced IT and data science concepts.
Walsh College
Bachelor of Science, Information Technology, Business Information Systems
Grade: 3.567
Earned a Bachelor of Science in Information Technology with a focus on Business Information Systems. Maintained a GPA of 3.567, indicating a solid understanding of IT principles and their application in business contexts.
Tech stack
Software and tools used professionally
AWS CLI
Apache Spark
AWS Glue
Amazon EC2
Microsoft Azure
Amazon CloudWatch
Amazon S3
GitHub
GitLab
Bitbucket
Kubernetes
Amazon EKS
Jenkins
NumPy
Pandas
MySQL
PostgreSQL
MongoDB
Hadoop
Gmail
Django
Databricks
Redis
Terraform
Visual Studio
Jira
JavaScript
Java
PowerShell
Azure Machine Learning
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Kafka
Grafana
Prometheus
Amazon DynamoDB
Linux
macOS
Windows
Amazon Kinesis
Elasticsearch
Checkmarx
Ansible
AWS Lambda
Amazon RDS
pytest
Visual Studio Code
Amazon WorkSpaces
Skype
Airflow
Root Cause
containerd
AWS Elastic Beanstalk
Luigi
Amazon EMR
Amazon Athena
AWS Database Migration Service
SQL
XGBoost
Amazon EBS
SciPy
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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