ZHANYL ABDYBAEVA
Chicago,IL
Summary
I am a Sr Data/DevOps Engineer at Crabel Capital Management, LLC, where I leverage my diverse skills and knowledge in data engineering, machine learning, cloud computing, and finance to optimize trading platform operations and support data-driven research.
My expertise spans a wide range of tools and technologies, including Python, AWS, Scikit-Learn, PyTorch, Apache Spark, Apache Airflow, MATLAB, R, Ansible, Kubernetes, etc. I have successfully automated and refined data ETL processes, enhanced platform stability and deployment processes, and streamlined the ML model lifecycle via MLOps principles. I am also a Certified Kubernetes Application Developer and Administrator, and an AWS DevOps Engineer. I am passionate about continuous learning and applying cutting-edge technologies to tackle complex challenges and deliver impactful solutions within collaborative environments.
Overview
9
9
years of professional experience
1
1
Certification
Work History
Sr DevOps Engineer
Crabel Capital Management, LLC
08.2021 - Current
- Optimized Trading Platform Operations: Spearheaded the enhancement of trading platform stability, ensuring seamless restarts and providing pivotal support to the trade desk for continuous, uninterrupted operations
- Instrumental in the CI/CD pipeline migration to the Ansible Automation Platform and Harness, enhancing deployment processes alongside my team
- Data Engineering for Research Excellence: Automated and refined data processes for research teams, extracting, transforming, and loading data from the CME to AWS, utilizing S3 buckets, Lambda, thus enabling robust, data-driven decision-making
- Advanced Automation Initiatives: Authored Python scripts for AWS Lambda to drive automation, employed GitHub Actions for PR lifecycle management and pre-deployment checks-like verifying Artifactory RPM publishing-preventing integration and release failures
- Agile Deployment Mastery & Support: Excelled in a high-stakes, fast-paced deployment setting, managing multiple weekly and even daily releases
- Established an on-call rotation schedule to ensure round-the-clock support for the trading platforms
- Documentation and Training: Created comprehensive process documentation on Confluence, conducted project demos for developers, and remained readily available to provide support and troubleshoot issues, facilitating a collaborative and learning-oriented environment
- Mentorship and Collaboration: Played a key role in onboarding and training new employees, fostering a culture of knowledge sharing and mutual learning to continuously elevate team expertise and performance.
DevOps Engineer
Intercontinental Exchange ICE
09.2018 - 08.2021
- AWS Environment Excellence: Mastered use of Terraform/Ansible/Puppet to manage AWS environments, tailored precisely to meet organizational requirements
- Automation Leadership: Pioneered automation of application and infrastructure deployment across cloud platforms, utilizing Ansible, Terraform, and Jenkins, and orchestrated Docker container deployments, enhancing operational agility
- Docker & Kubernetes Synergy: Developed Dockerfiles and managed Docker images, enabling microservices to perform seamlessly on Kubernetes
- Streamlined Kubernetes management on AWS
- CI/CD Advancement: Engineered robust CI/CD pipelines via Jenkins, significantly improving software development lifecycle and deployment efficiency
- Security & Access Control: Oversaw IAM, implementing roles and policies that fortified security postures across the board
- Ansible Playbook Innovation: Authored Ansible playbooks for sophisticated configuration and deployment tasks, bolstering infrastructure scalability and system resilience
- Proactive Monitoring & Scaling: Configured CloudWatch monitors and alarms for EC2, and employed Ansible to automate load balancing and auto-scaling setups, ensuring high availability and performance of microservices
- Helm Chart Management: Managed Helm charts for Kubernetes applications, standardizing deployments and overseeing seamless release processes
- Dockerfile Optimization: Maintained and optimized Dockerfiles for efficient microservices integration within Kubernetes, promoting system reliability and performance.
Software Engineer
Cognizant Sovision
03.2015 - 08.2018
- As a Software Engineer championed the automation of our testing infrastructure with Ansible, leading to more efficient continuous integration processes
- My implementation of automated logging with cron jobs significantly enhanced system behavior tracking and analysis
- Successfully diagnosed and resolved complex system performance bottlenecks, ensuring robust and reliable testing environments
- By developing Ansible playbooks, standardized configurations across Linux platforms, thereby improving our operational consistency
- My routine system administration-including patching and software troubleshooting-maintained controlled testing conditions
- Through optimized monitoring, provided vital insights for system optimization
- Additionally, customized VMs for targeted testing needs and automated repetitive tasks, increasing test coverage and reducing manual effort
- My expertise in LVM within Red Hat Enterprise Linux facilitated flexible and scalable storage solutions, optimizing our testing capabilities.
Education
Bachelor of Science - Data Science
Northeastern University
Boston, MASpecialization - Machine Learning Engineer
Stanford University
Stanford, CA03.2024
Course - Advanced Predictive Modeling
Linkedin
Online02.2024
Course - Statistics With R And Python
Linkedin
Online11.2023
Skills
- Programming: Python, Bash, Shell scripting, R, C, YAML; skilled in data engineering tools like Apache Spark, Hadoop, Airflow, KNIME, WEKA, RStudio, etc
- Software Lifecycle: Skilled in build, deploying, releasing, monitoring, troubleshooting, and supporting, with expertise in CI/CD tools including Harness, GitHub Actions, Ansible Automation Platform, and Jenkins
- Containerization & Orchestration: Advanced knowledge in Kubernetes, Docker, Podman, and Openshift
- Cloud & Tools: Deep experience in AWS (Lambda, S3, Redshift), Linux, Splunk, LogicMonitor, Jira, Confluence, PagerDuty, Miro, Azure AD, PowerBI
- Cloud Computing & Big Data: Specialized in ETL, cloud-based big data solutions, scalable data storage, and MLOps practices
- Microservices & ML: Integrations of ML workflows in microservices architecture, enhancing data-driven decision-making and system performance with data science methodologies
- CyberSecurity: Security first approach
Certification
- AWS Certified DevOps Engineer - Professional, Certified Solutions Architect - Associate, Certified Cloud Practitioner, 2021
- Certified Kubernetes Application Developer, Certified Kubernetes Administrator, 2021
- Certified Python Programmer, 2021
- Certified in Machine Learning Specialization
- CFA Candidate
- CQF Candidate
Additional Information
Winner of Regional Math Olympiad
- Awarded first place in the prestigious Regional Math Olympiad, competing against participants from 26 different high schools. This accolade recognized exceptional proficiency and problem-solving skills in mathematics and physics
Gold Medal for Academic Excellence at High School
- I was the sole Gold Medalist in a high school with over 1,000 graduate students, and I received an award from the city's Mayor for Academic Excellence.
Timeline
Sr DevOps Engineer
Crabel Capital Management, LLC
08.2021 - Current
DevOps Engineer
Intercontinental Exchange ICE
09.2018 - 08.2021
Software Engineer
Cognizant Sovision
03.2015 - 08.2018
Bachelor of Science - Data Science
Northeastern University
Specialization - Machine Learning Engineer
Stanford University
Course - Advanced Predictive Modeling
Linkedin
Course - Statistics With R And Python
Linkedin
- AWS Certified DevOps Engineer - Professional, Certified Solutions Architect - Associate, Certified Cloud Practitioner, 2021
- Certified Kubernetes Application Developer, Certified Kubernetes Administrator, 2021
- Certified Python Programmer, 2021
- Certified in Machine Learning Specialization
- CFA Candidate
- CQF Candidate
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