Pavlo Taraskin

• Designed and Architected a Comprehensive Identity Provider (IDP): Developed an end-to-end IDP solution that provisions infrastructure, deploys applications, and displays performance dashboards with scorecards. Leveraged AWS, Terraform, Kubernetes, ECS, Backstage, Golang, NestJS, and React while ensuring strict adherence to security and compliance requirements in a regulated financial setting.
• Developed a Golang-Based Infrastructure as Code (IaC) CLI Tool: Engineered a robust CLI tool that streamlines infrastructure management and provisioning using AWS and Terraform. This tool enhanced automation and operational consistency, while embedding best security practices at every stage.
• Created the AWS Roles Factory for Secure Role and Policy Management: Implemented a Kubernetes controller-driven solution to manage AWS roles and policies that meets complex corporate requirements. Led the gathering of intricate security needs, streamlined developer contributions, and developed an automated testing framework that enables developers to validate AWS policy compliance and coverage.
• Led a High-Performing Engineering Team: Directed and mentored a team of software engineers to deliver projects on schedule, ensuring that all solutions met the high-quality and security standards critical to the financial industry.

• Developed an automated, scalable CI/CD pipeline for ML and data pipelines, migrating a complex recommendation system from on-premises to GCP.
• Managed production environments and led the complete migration of serving applications and batch jobs to GCP, reducing infrastructure costs by ~30%.
• Enhanced ML batch jobs and critical serving applications to handle peak loads (Black Friday/Cyber Monday) without downtime.
• Automated infrastructure deployment using Terraform and led a DevOps team of 3 engineers.

Technologies: Jenkins, GitLab, Python, Argo Workflows, Kubeflow, Spinnaker, Redis, GCP (BigQuery, GCS, GKE, Compute, Bigtable, CloudSQL, Dataflow, Dataproc), JupyterHub, Docker, Spark, Terraform, Prometheus, Grafana, Helm, Kustomize.

• Designed and developed a fully automated ML platform environment to address Data Scientists' challenges.
• Migrated ML applications and batch jobs to GCP.
• Developed a Django-based orchestration application.
• Deployed Kubernetes on on-prem GPU servers to enhance ML processing.
• Implemented a model store for streamlined model management.
• Led a DevOps team of 3 engineers.

Technologies: Jenkins, GitLab, Python, Argo Workflows, Spinnaker, Django, RQ, Redis, GCP (BigQuery, GCS, GKE, Compute, Bigtable, CloudSQL, Dataproc, Dataflow), JupyterHub, Docker, Cassandra, Spark, Prometheus, Grafana, Helm, Kustomize, Flask, Sanic

• Created CI/CD process for bunch of microservices, migrated them from on-premises to GCP
• Introduced GitOps for Jenkins using Jenkins job builder
• Introduced end-to-end testing during CI/CD, which slightly improved code quality.
• Wrote plugin which integrated self-service deployment environment with AVI and F5
• Developed IP manager application

Technologies: Jenkins, Gitlab, Chef, GCP, Python.

Created CI/CD for Marketplace project (Magento and Java-based applications).

Technologies: Jenkins, Python, Gitlab, GCP (CloudSql, Compute, GCS), Docker, Nginx.

Development of self-service application which provides orchestration of CI/CD of complex e-commerce applications (Django based + Chef).

Technologies: Django, Celery, Chef, Python, Jenkins, Gitlab.

Supported the production environment of TOA application, participated in production deployments, and led support group during the working schedule.

Supported the production environment of TOA application, participated in production deployments.

• Supported bunch of VoIP servers in wholesale VoIP provider
• Interconnected with strategic telecoms and increased company's revenue