lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Cloud Azure Architect
Category: Lead
Experience: 9 years | English: upper

I have more than 9 years of experience as a DevOps engineer. I have been implementing DevOps best practices at multiple projects in order to build a fault-tolerant application, reduce operation costs and improve the delivery process.
My core experience includes implementing continuous integration processes from scratch, developing configuration management solutions, detecting and repairing performance issues, performing build and release management, implementing automated performance, test reports, providing architecture assessment of CI/Cloud infrastructure. 
In addition, I have a good background in virtualization systems and cloud platforms configuration, backup and restore flows configuration, administration of web and database servers, system and application monitoring. I have a strong understanding of version control, and Git flow technique and a strong understanding of CI and automation tools like Jenkins, Teamcity, Azure DevOps, TFS, Vagrant, etc.
During my DevOps career, I used to work on different kinds of projects of healthcare, financial, infrastructure, and marketing domains. In the last projects, I was involved in preparing architecture reports and proposals. 
I am open-minded, well-organized, have an active teamwork attitude, quick learning ability, deep analytical and system thinking that helps me to work productively. I have experience in managing teams of up to 20 team members. I have also provided internal classes for middle-senior staff, helping them as a mentor to improve their skillset.
Azure Cloud Architect
My main activities include:
- CI/CD assessments & Cloud infrastructure assessments
- Supporting pre-sales processes
- Preparing RFI, RFP and SOWs
- Developing DevOps knowledge model
- Leading Operational support activities on several projects
- Leading company-wide interviewers’ community
- Leading internal Researchers and R&D projects for Azure/Azure DevOps
- Developing DevOps course from the scratch
- Conducting training sessions for DevOps Engineers and Architects
Position: Cloud Big Data Manager
Category: Project Manager
Experience: 11 years | English: fluent

I have strong portfolio of successful projects. Testimonials from happy customers. Great relationship with developments teams.
Hi,
   I’m experienced Technical Project Manager. With 6+ years in Cloud, Big data and Machine learning.
I have Project Management Professional (PMP) and Professional Scrum Master (CSM I) certificates.
   There are many successfully completed projects in my portfolio during 13+ years in IT industry.
   My goal is create gorgeous, useful services for the delight customers and stakeholders.
Position: Cloud Data Architect, Big Data, Machine Learning
Category: Lead
Experience: 7 years | English: fluent

Working in an Israeli machine learning startup, I build a scalable machine learning pipelines (it's a core technology of the startup) and solutions that reduced the cost of acquisition of the new customers tremendously. It played a key role in transforming the startup from loss-making to a profitable one with $6M of yearly income.
I'm an AWS Certified Cloud Architect. I speak fluently English, Hebrew and Ukrainian and Russian natively.
I have 7 years of experience in designing and implementing scalable Data Pipelines and  architectures and bringing Machine Learning models to production. I work extensively with AWS stack and code mostly in Python and Bash.
I have vast experience in building REST APIs, microservices, building complex analytical solutions (advanced SQL), databases, data warehouses.
I'm also an AWS Certified Solutions Architect.
I speak fluently English, Hebrew and Ukrainian and Russian natively.
Remote work, preferably small team, product. Strong advantage to Machine Learning/AI projects. End-to-end responsibility. Developing with cutting-edge technology. A lot of new developments (it's fine to have some legacy code).
Position: Cloud Data Engineer
Category: Data Engineer
Experience: 7 years | English: fluent


Consulting in Microsoft’s projects. Design and implement ETL solutions between multiple datasets, on-premises servers and Azure Synapse using technologies such as Azure Synapse Studio, Azure Data Factory, Azure Data Lake Storage, Self-Hosted IR. Designing CD / CI mechanisms in operation on Azure DevOps and Git. Migration of all sized (1M – 1B rows) Oracle DBMS tables to Azure Synapse using SSMS, Python and Parquet files. Recreation of Oracle views with complex logic by converting Oracle SQL dialect/CTE/built-in functions to T-SQL. Recreation of Oracle ETL tool (Oracle Data Integrator) packages, mappings, procedures in Azure Synapse. Integration of several data sources such as Vertica, Salesforce, Oracle OBI, Oracle PMDB, SFTP Server, On-premises SQL Server Migration SSAS to Azure Analysis Services. Repointing data source from Oracle to Azure synapse. Design LogicApp workflows for processing AAS models. Modification of existing Databricks notebooks using PySpark. Writing CSV files from AWS S3 to Snowflake using delta lake architecture. 

Certifications: 
Microsoft Certified Azure Data Engineer Associate
Microsoft Certified Professional
98-364: Microsoft Database Fundamentals
70-761: Querying Data with Transact-SQL
DP -900: Azure Data Fundamentals
DP - 203: Azure  Data Engineering
Senior Azure Data Engineer
Position: Cloud Data Engineer
Experience: 11 years | English: fluent

English: C2 Upper-Advanced (CPE) 

Certifications:
SEI Software Architecture Professional 
AWS Certified Data Analytics Specialty
Databricks Certified Associate Developer for Apache Spark 3.0
Microsoft Certified: DevOps Engineer Expert
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Azure Data Engineer Associate
Microsoft Azure Data Scientist Associate
Microsoft Certified: Azure IoT Developer Specialty
Google Cloud Platform - Professional Data Engineer
Google Cloud Platform - Professional Machine Learning Engineer
Oracle Certified Professional Java SE 11 Developer
Oracle Certified Associate Java SE 8 Programmer
Oracle Advanced PL/SQL Developer Certified Professional
Oracle Database 11g Performance Tuning Expert
Oracle Cloud Infrastructure 2019 Certified Architect Professional
Oracle Autonomous Database Cloud 2019 Certified Specialist
Oracle Cloud Infrastructure Developer 2020 Certified Associate
Oracle Application Server 10g Administrator Certified Professional
Oracle Database 9i/10g/11g Certified Professional
Oracle Database 10g Real Application Clusters Administrator Expert
The Linux Foundation Certified Kubernetes Application Developer
The Linux Foundation Certified Kubernetes Administrator
The Linux Foundation Certified System Administrator
Scrum Alliance Certified ScrumMaster
ITIL Foundation
Candidate of Sciences, 2010, comparable to the Doctor of Philosophy (Ph.D.)
speciality "System analysis and optimum solutions theory"
thesis "Multivariate risk models in enterprise decision support systems"

Master of Computer Science, Institute for Applied System Analysis, NTUU "KPI"
Senior Data Engineer at Firebolt. 

PhD in System Analysis (probability and statistics).

Before:
* Development Team Lead. Databricks. 
* DevOps in a Data Science Delivery Platform that is based on Hadoop ecosystem deployed in Azure Cloud: Spark, HBase, Hive, DataLake, DataFactory. 
* Lead DB Developer/IT Architect in a Cloud Engineering team. Clouds: Amazon AWS, Microsoft Azure. DBMS: Oracle, Redshift. 
* Development DBA of 80TB+ databases on Exadata and sharded on AWS RDS.

* 11 years as a Senior DBA. Administered about 40 instances of Oracle Database (8/8i/9i/10g/11g/12c), application servers and CloudControl. Platfroms: x86, Power7, zSeries.
OSs: AIX, RHEL/SLES, Windows Server, zLinux 
High Availability solutions: Oracle Real Application Cluster,  ASM, DataGuard, IBM HACMP. 
Backup and Recovery: IBM TSM, Oracle Secure Backup, RMAN, DataPump. 

* 2 years as a developer: PL/SQL, APEX, С++ in pattern recognition.
Position: Cloud developer / Architect
Category: Lead
Experience: 11 years | English: upper


I'm 17+ years of experience in development. Very wide experience. 
Blockchain, AI, clouds, building teams, and complex systems are things that are interesting to me.
I have a problem-solving mindset. Give me any problem and I'll find a solution. Or I can find a problem to solve by myself. My main believe - there is no problem I can't solve until it's not limited by the physics laws.
Position: cloud/devops
Category: DevOps
Experience: 1.5 years | English: fluent


My recent projects involved designing AWS solutions using S3 buckets, EC2 instances, Elastic Load Balancer, Elastic Bean Stalk, and deployment automation using Ansible and Kubernetes.

Also, I deployed the Socks Shop microservices app on Amazon EKS, using terraform as an Infrastructure as Code (IaC) tool. In addition, I implemented a Continous Integration/ Continous Deployment pipeline using Jenkins and CircleCI.
Position: Cloud Devops
Category: DevOps
Experience: 3 years | English: fluent

Won a fintech Hackathon on how to build financial inclusive and security for the unbanked
I currently work as a DevOps Engineer at Wema Bank where I  build, test, and Deploy enterprise services  with Azure DevOps and AWS DevOps either to the cloud or on premises. DevOps practices that enable transparency, cooperation, continuous delivery and continuous deployment .

I have worked as a backend developer at semicolon africa where I built backend api services ranging from edutech startups, virtual classrooms and loans and contributions apps. Also built a sales tracking services for sales manager.
Development process to be clear. Clients should state what they want to achieve from the start
Position: Cloud DevOps
Category: DevOps
Experience: 4 years | English: intermediate

Different
Cloud DevOps Engineer
Project description: A suite of capabilities that aims to enable effective collaboration between an extremely intelligent artificial intelligent platform and airline analysts.
Responsibilities: deployed configuration management and provisioning to GCP using Terraform, CI/CD pipeline creation, development build and deployment scripts, developing cloud solutions, dashboards creation.
Tools: Shell, Python, Spinnaker, Terraform, Kubernetes, GCP, Grafana.
Project description: Proof of concept
Responsibilities: deploy and configure the OpenSearch tool with AWS EKS according to customer requirements.
Tools: Kubernetes, Helm, AWS, Git.
Cloud DevOps Engineer
Project description: CloudBolt's hybrid cloud management platform enables enterprise IT departments to efficiently build, deploy, and manage private and public clouds.
Responsibilities: developing cloud solutions, customers onboarding, CloudBolt Portal configuration and maintenance , accelerating the deployment of resources by developing blueprints and actions, scripting, pipelines creation. Tools: Shell, Python, CloudBolt, Puppet, Packer, Jenkins, Linux, Windows, ServiceNow, GCP, Azure.
Project description: Configuration of GCP cloud-native tools configuration so customers could quickly code, build, deploy, and manage without compromising security or quality.
Responsibilities: deployed configuration management and provisioning to GCP using Terraform, developing cloud solutions, accelerate the deployment of resources by developing Terraform modules, scripting.
Tools: Shell, Terraform, ServiceNow, GCP.

DevOps Engineer
Project description: An online banking service for online payments that allows authorized users to buy things in online stores.
Responsibilities: monitoring, observability, logging, data visualization, dashboards, automation, scripting, deployment, maintenance, duty hours. Tools: Kibana, Splunk, Bash, PowerShell, ServiceNow, Jenkins, TFS, Ansible,
Only GCP projects
Position: Cloud/DevOps Architect
Category: DevOps
Experience: 11 years | English: upper

Built companies from scratch DevOps department, companies, business
I am a Cloud/DevOps Architect with over 17 years of extensive experience in the IT-sphere taking on both engineering and leading roles. I have over 10 years of experience in DevOps Area and 7 years as Linux System Administrator/Network Engineer.  Workled for: Cisco, Philip Morris, Goodyear/Dunlop, Adobe, S&P Global, Google etc.
Cloud/DevOps Architect, CTO, VP of Engineering
Position: Cloud/Devops (AWS)
Category: DevOps
Experience: 11 years | English: upper


Cloud: AWS (Multi-account) 
Infrastructure as code:  Terraform(Terragrunt) 
Orchestration: EKS (Kubernetes) 
Containerization: Docker 
Templating for Kubernetes: Helm, Kustomize
Continuous Integration: CircleCI, Jenkins
Continuous Delivery: FluxCD 
Monitoring and Logging: DataDog,Prometheus/Grafana, Coralogix
Databases: AWS RDS
Focused on developing an infrastructure to be fault-tolerant, highly-available and secure, yet quick, adaptive and innovative. We do our best to stay on the wave of the progress. We are never afraid to try something new.

Note: 13 years of experience in IT overall, previously I was working as Network Engineer. More than 4 years as Cloud/DevOps Engineer.
Position: Cloud Devops Engineer
Category: DevOps
Experience: 10 years | English: fluent


Right now I am working as a Cloud Infrastructure Engineer. Also I am a Cloud Developer, mainly I use terraform to automate entire cloud infrastructure deployment. Creating pipelines in Azure Devops using powershell and bash scripts. I designed and created hub spoke topology in Azure. Deploying kubernetes cluster into spoke by using Azure Devops pipelines. Azure AVD for virtual desktop environment for different teams. 
Tools I use daily: 
Azure Cloud (vnet, vm, load balancer, application gateway, subent, rt, disks, disk attachment, storage accounts, vnet peering and etc)
Terraform as IAC
Kubernetes 
Packer for creating machine images. I use packer to create build machine. I use build machines to create build agents in Azure Devops
Azure AVD
Azure Devops (service principals and service connections, repos, pipelines, boards)
Position: Cloud DevOps engineer
Category: DevOps
Experience: 2 years | English: fluent

Led various open source projects which can be found on my GitHub page such as:
 • Production-Ready Dockerized PrestaShop Solution deployed on AWS with Terraform based on a Microservice Architecture.
Associate DevOps Engineer, Bincom ICT Solutions, December 2020 - February 2022


• Built and deployed Docker containers to break up monolithic apps into microservices.
• Created CI/CD workflows with git, GitHub Actions, Circle CI, Bash scripts.
• Took charge of Linux administration tasks including configurations, maintenance, upgrades, and troubleshooting.
• Led modernization and optimization efforts to improve the reliability and scalability of systems and platforms by over 60%
• Installed and configured Prometheus, Grafana, Elasticsearch, logstach and kibana to constantly monitor infrastructure.
• Utilized AWS services like EC2, ECR, CloudWatch, RDS, VPC, S3, Elastic Beanstalk, Fargate.
• Containerized and Orchestrated containers with Docker and Kubernetes for 70 % of all applications
• Migrated all applications to use latest stack
• Provisioned Infrastructure using Infrastructure and Configuration management tooling such as Terraform, AWS, Ansible.
• Ensured robust SDLC with DevOps and AWS for Continuous Integration and Deployment
• Applied Version control with Git to improve versioning of applications, builds, tests and releases.



Penetration Tester, Freelancer.com , June 2020 - December 2020

• Performed penetration tests on computer systems, networks and applications.
• Researched, evaluated and documented findings and recommendations with client IT teams.
• Identified areas where improvement was needed in security services, software, policies and procedures.
- Developed internal tools as required for penetration tests while adhering to SDLC and Test-Driven development principles using git, python, docker.
Position: Cloud DevOps engineer
Category: DevOps
Experience: 1.5 years | English: fluent

AWSCertifiedCloudPractitioner
[PCEP-30-01]PCEP–CertifiedEntry-LevelPythonProgrammer
TOEFL(98/120)
Have hands-on building infrastructure on AWS. Created multiple terraform modules to manage configurations and services on AWS, such as API Gateway, SES, ECS, CloudFront, S3 and etc.  Certified AWS  Cloud  Practitioner.  Built,  deployed, and managed  Docker containers with ECS. Created and maintained Jenkins master and nodes for CI/CD. I was building serverless applications with Lambda. I have maintained and built iOS and android CI/CD pipelines for mobile applications. Worked with Azure DevOps, built yaml CI/CD files for ios and android applications.
Want to continue working with AWS
Position: Cloud DevOps engineer
Category: DevOps
Experience: 1 years | English: fluent


I've deployed a mobile app API using CI/CD best practices. I've also worked with tools like Ansible for configuration management, cloud formation for infrastructure as code, Prometheus for monitoring of servers.
Position: Cloud-DevOps engineer
Category: DevOps
Experience: 1 years | English: upper


Worked on Kubernetes for cost and workload optimization using HPA and VPA. (GKE)
Completed On-Premises to Cloud migration for monolith applications on development envireonment.
Automated tasks with scripting.(Powershell, Python, Bash) 
Implemented various tools to CI/CD pipeline (Fortify and Dependency-Track)
Created dashboards for monitoring using Cloud Monitoring service (GCP)
Position: Cloud/DevOps engineer
Category: DevOps
Experience: 5 years | English: upper

I created an alerting system based on AWS | NewRelic | Kubernetes, Coralogix, and Python applications for migrations. Automation with 3-rd party applications based on AWS. Python scripts for the Support team. Was responsible for a few ticketing system migrations such as Wix and Salesforce. Automation processes such as deploying and managing lambda functions via Terraform.
A few migrations from a chaotic project to a monolithic structure. Management team on whole migration.
Adapting the system to EKS. Management team on the whole process.
Creation of inventory for a few teams. Functional for auto-deploy customers based on information from CSM. Same for auto-upgrade customers or scheduled upgrades.
Tool for connecting to the customer env. Based on Python. Reducing the company's costs through a restructuring of Amazon Automation for a full CloudOps team based on the alert system.
Alerting system for customers which gives a picture about processes and indication about incidents based on NewRelic and AWS.
Product company

Team Lead position
Position: Cloud DevOps Engineer
Category: DevOps
Experience: 2 years | English: intermediate


09.2021 – 04.2022 – AWS Cloud  Engineer at IT Cloud Unit Altkom Software & Consulting.
Creating architectural solution in AWS Cloud using terraform as infrastructure as a code tool.
Implementation serverless microservices architecture using AWS Lambda, AWS Fargate. 
Working experience with containers microservices using Docker (AWS ECS (ECR)
Work closely with developers to build CI/CD development pipelines and deploy code. 

12.2020 –  08.2021 – Junior DevOps engineer at IT department Infrastructure as a Code "Aviva Poland"
Experience with AWS – including but not limited to EC2, S3, RDS, IAM and Router 53.
Maintaining and creating Infrastructure as Code (IaC) with: 
- Amazon Web Services (AWS)
- HashiCorp stack (Terraform, Vault)
- Shell /Python/
- Docker
- Atlassian stack

•	07.2017 –  11.2020 – IT department of exploitation and monitoring systems at “Aviva Poland”.
Linux system administration. Experience in infrastructure monitoring, analyzing and problems solving 24/7 using Nagios. Creating a process automation architecture using shell/bash scripting with supporting tool „SheduleIn”. ScheduleIn administrator.  Support clients via Jira tickets.
I would like to obtain a challenging position in IT where my technical and interpersonal skills can be utilized to benefit both me and Organization. I can describe myself as AWS  DevOPS Engineer who is technical sound with  Linux Administration,  Support & Services skills.
Position: Cloud DevOps Engineer
Category: DevOps
Experience: 0.5 years | English: upper


DEVOPS INTERNSHIP, SoftServe IT Academy
Intern DevOps Engineer, December 2022 – March 2023
Project Description: The django CMS is an easy to use, open-source content management build using 
Django/Python. It is an option for new developers who wish to create a site that tailors to their needs. 
The user-friendly interface is aimed at developers and content editors.
• Development build, deployment scripts, configuring, monitoring;
• Writing Ansible playbooks;
• Creating Jenkins jobs and pipelines;
• Dockerizing application and work with Docker container images in DockerHub;
• Minikube (Kubernetes) creating a VM and deploying a simple cluster containing;
• Building and managing Cloud Infrastructure with Terraform;
• Deploying Docker Containers to AWS ECS Using Terraform.
Tools & Technologies: Apache Tomcat, Maven, Oracle VirtualBox, Vagrant, VMware VSphere, ORM 
Hibernate, MySQL, MariaDB, Ansible, Jenkins, Web Services, Linux, GitHub, Docker, Kubernetes, AWS, 
Terraform
Project Team: 7-10 team members
Position: Cloud DevOps Engineer
Category: DevOps
Experience: 11 years | English: intermediate

Certificates:
- Red Hat Certified System Administrator
- AWS Certified Solutions Architect – Associate
Experienced and confident full stack Systems Engineer with more than 15 years of practical
experience with solid understanding of a wide range of technologies on the market.
Quick-learner, highly motivated, working hard to be aware of new trends in technologies.

Skills and Awards:
• Operating systems: Linux (RHEL, SLES, Debian), FreeBSD, Windows;
• Administration Linux, FreeBSD (Internet-gate, IDS, Firewall, NAS, SAN, SMB, WEB, MTA, MDA, DNS, DHCP, Load Balancer, HA Clustering, Proxy, Antivirus, VPN, FTP, Backup, Statistics, Monitoring), Windows;
• Administration Oracle WebLogic 11g/12c, JBOSS 6.x EAP;
• Experience of working with High Availability cluster solutions (RHCS, Heartbeat, Keepalived, WEBLogic Cluster);
• Experience of IT management;
• Cloud Computing: AWS (EKS, ECS, ECR, Lambda, SNS, SQS, DynamoDB, RDS, ElastiCache, S3, ELB, Route53, VPC, EC2, CodeBuild, CodeDeploy, CodePipeline, Managed Services), GCP (GKE, Cloud Functions, CloudDNS, Workload Identity, Bucket), Serverless;
• Microservices: AWS (EKS, ECS), GCP (GKE);
• CI/CD: Jenkins, GitHub Actions, ArgoCD;
• HashiCorp products: Terraform, Consul, Vault;
• IaC: Terraform/Terragrunt;
• Monitoring: Prometheus, Grafana, Zabbix, Nagios, Datadog;
• Git: GitHub, Bitbucket;
• Configuration Management: Ansible;
• Repository Management: AWS ECR, Artifactory, Nexus, Dockerhub;
• Atlassian products: Jira, Confluence,
• Knowledge of SAN and Backup systems;
• Virtualization: VMware ESX vSphere;
• Security: PCI DSS;
• Programming: Python, Bash Scripting, Groovy, PowerShell;
• Database: MySQL (Cluster, Replication), AWS RDS;
Interesting and prospective work.
Position: Cloud/ DevOps Engineer
Category: DevOps
Experience: 0.5 years | English: fluent

AWS Certified Cloud Practitioner.   AWS Developer and Solutions Architect Associate (in progress)
AWS Certified Cloud Engineer and graduate of a comprehensive cloud career training program, equipped with a solid background in Computer Science and over 600 hours of specialized training in cloud computing. I am currently seeking an entry-level Cloud Engineer role to utilize my technical proficiency and analytical mindset, while continually expanding my knowledge in this field.