lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Protection Officer
Category: Other
Experience: 11 years | English: intermediate

I have conducted more than 100 inspections of compliance with the requirements of legislation on the protection of personal data.

I organized and led work on the drafting of the new edition of the Law of Ukraine "On Personal Data Protection" (In the Secretariat of the Ombudsman of the Verkhovna Rada of Ukraine for Human Rights).
Also, I am a member of the working group under the Verkhovna Rada of Ukraine for the  drafting of the new edition of the Law of Ukraine "On Personal Data Protection".
My professional skills:
• Conducting inspections and audits in the field of personal data protection (I have conducted more than 100 inspections of compliance with the requirements of legislation on the protection of personal data).
• Conducting a risk assessment in the processing of personal data (Data Protection Impact Assessment (DPIA)).
• Drafting of legal documents regulating the processing of personal data (privacy policy, privacy notice, contracts, etc), as well as bringing the company's PD processing activities in line with the requirements of Ukrainian legislation and GDPR.
• Drafting of various internal legal documents (orders, orders, regulations, instructions, etc., including those regulating the processing of personal data).
• Team leadership, work organization (20 specialists, and 5 subordinate units).
• Drafting of laws and other legal acts (in the Secretariat of the Ombudsman of the Verkhovna Rada of Ukraine for Human Rights I organized work on the drafting of the new edition of the Law of Ukraine "On Personal Data Protection", I also participated in the drafting of Resolutions of the Cabinet of Ministers of Ukraine, other by-laws).
• Analysis of draft laws, Resolutions of the Cabinet of Ministers of Ukraine, and other by-laws for their compliance with legislation on personal data protection.
• Judicial practice (preparation of procedural documents, representation in court).
• Public speaking, holding seminars, giving lectures (audience 10 - 400 people);
• Staff training.
I have extensive experience in the field of personal data protection, economic, administrative, civil, information, labor, tax, immigration law, and intellectual property law.
I would like to lead the work of personal data protection in a large IT company and take the position of Data Protection Officer. 

Also, I consider the possibility of cooperation as an outsourced Data Protection Officer (DPO).
Position: Data Protection Officer | Head of Data Protection
Category: Other
Experience: 6 years | English: fluent

I am a Certified Information Privacy Professional/Europe (CIPP/E) and Certified Information Privacy Manager (CIPM). I am also a member of the International Association of Privacy Professionals (IAPP).
I have about 4 years of experience working in privacy and data protection. 
I work as the Privacy and Data Protection Lead at one of the biggest Ukrainian IT company, where I monitor compliance with the GDPR and relevant data protection laws and regulations, and lead the privacy team consisting of self-motivated individuals by skillfully helping to grow their competencies in the field of data protection.
Previously, I worked at the consulting firm as a Privacy Lawyer, drawing up policy frameworks, drafting and negotiating data processing agreements, and advising on data protection matters.

Key Responsibilities:

- Led the execution of the GDPR compliance and data privacy program worldwide;
- Maintained strong relationships with Data Protection Authorities and internal stakeholders;
- Worked with senior leadership, legal, product and security teams to give advice on data protection efforts;
- Reviewed, negotiated and confirmed the third-party agreements and contracts relating to data protection and privacy;
- Conducted regular audits and other reviews to ensure continuous compliance with the GDPR and other relevant data protection frameworks/regulations in various jurisdictions;
- Facilitated data breach notification procedures;
- Stayed up to date with the best practices and global developments in the data protection and privacy area.

Measurable Results:

- Managed over 700 data subject requests per month;
- Managed over 20 data processing agreements per quarter;
- Structured data protection team and organized workflow in high load systems;
- Built the privacy program from scratch;
- Conducted 4 Data Protection Impact Assessments and 6 Privacy Impact Assessments per year;
- Carried out 20 Legitimate Interest Assessments per year;
- Designed Consent Management Platform (CMP) and led its development and implementation.
Position: Data QA Analyst / Junior Data Scientist / Product Analyst
Category: Data Analyst
Experience: 5 years | English: upper

1) In December, 2017, according to the results of competition, Hackaton BigDataLab.com.ua, 
together with my team (4 participants) were selected for the finals and got into the accelerated program "Vodafone Big Data Lab" with mentoring support. 
Idea: Predictive recommendation systems (transport)
Role: Data Analyst / Researcher.

2) September 2018 - Successfully completed cource “Data Analytics and AI: Business edition” (onsite Kyiv).
Mentor: Oleksandr Romanko - Senior Research Analyst, Watson Financial Services, IBM Canada & Adjunct Professor, University of Toronto.

3) PET project in data analytics / data quality testing ( Tensorflow machine learning).
• Experience with data visualization; data manipulation/data processing, basic Big Data concepts.

• Ability to performing data analysis with Python scripts; collect,  extract, clean, transform, load data and to build basic visualizations of results.

• Previous IT experience 5+ years in the roles: PM / BA, SysAdmin and QA (LAMP, front-end, eCommerce process automation).

• Programming skills: basic Python, R.
• Deep Learning frameworks: TensorFlow, Keras (basic).
• Strong understanding: SDLC; QA; UI/UX, usability.
• Methodologies: Agile, Scrum, Waterfall. 

Education: Bachelor of Computer Science and Medical Associate Degree (Health Care).

Personal qualities: 

• Proactive leader, self and result driven, independent, tactful, focused, team player, systems thinking.
• Skills and experience to see the problem in business focus and the ability to research and find a balanced technical solution.
• Mentorship
• Well-established modern development process.
• Opportunity to participate and solve challenging tasks (short-term, long-term) related to Data Science, AI, ML, DL.
Position: Data QA (Data Quality) engineer
Category: QA
Experience: 5 years | English: upper

Validation of complicated business logic & backend part of projects
Setting QA process from scratch
• Experience in ETL validation, testing on UI, API, and database layer;
•  Experience with analyzing business, functional requirements
•  Experience with test management  systems (Jira/Zephyr/TestRail/Redmine)
• Direct communication with a customer and participating in all Agile meetings.
• Knowledge of QA documentation (test cases, checklists, test plans, bug reports)
• Test scenarios design and maintenance
- Test Plan / Test Strategy  managing
+ Data analysis;
+ data pipelines testing;
+ QA processes driving

- No testing, but QA
Position: Data QA engineer
Category: QA
Experience: 2 years | English: intermediate


WORKING EXPERIENCE:

Data QA Engineer:
(August 2021 - now)
- Testing ETL solutions in SSIS
- Creating ETL solutions for testing goals
- Working with customer’s bugs
- Working with QA automated solutions  

Reporting Analyst
(October 2020 - August 2021)
- Analyse and transform data leveraging tools such as SQL Server, Excel, execute SQL queries to create data extracts and reports
- Works with company management to ensure mission critical reporting
- Using Pandas to analyze large datasets
- Communication with Support team in India
- Technical support of the customer issues.
- Providing data analysis using existing database

Data Analyst
(November 2019 - October 2020)
- Working with Amazon Athena and Vertica for SQL queries
- Technical Support for marketing team in internal systems
- Working with Help Desk tickets
- Charts Monitoring in Grafana
- HD team analytics based on Jira system (Creating and monitoring dasboards in Jira, reports in Excel)

Junior specialist of payment services department
(January 2019 - September 2019)
Working in 2 projects from start to successful finish:
- "Unsecured crediting"
- "Modernization of financial monitoring department"
- Working with project documentation and project plans in MS Project

Trainee Data Mining Analyst
(May 2018 - August 2018)
- Working with SQL Management Studio
Position: Data QA Engineer
Category: QA
Experience: 8 years | English: upper

I have good experience with SQL and know how to make a great demo for customer
Dev.pro
Creating and maintaining test documentation
Collecting test metrics and reporting
Requirements, User Stories analysis
Functional testing
Regression testing
Test coverage analysis
Estimation
Onboarding and mentoring newcomers QA

SoftServe
Creating and maintaining test documentation
Requirements, User Stories analysis
Functional testing
Regression testing
Database testing
ETL testing
End-to-End testing
Estimation

G5
Project QA lead.
Requirements analyzing and clarification
Creating and maintaining test documentation
Functional testing
Web testing, cross-browser testing, mobile (Android, IOS) testing
Regression testing, smoke testing, localization testing
Estimation
Onboarding and mentoring newcomers QA
Preferable Big Data projects.  I worked a lot with Business Intelligence applications. Statistics is very interesting for me. 

I don't won't be a lead
Position: Data QA Engineer (Relocation to France)
Category: QA Automation
Experience: 7 years | English: fluent


Certified QA (ISTQB Advanced level, Test Manager).
Overall 8 years in QA.
Data quality testing (Python, 3+ years)
Advanced English.
Position: Data QA manager
Category: QA
Experience: 8 years | English: upper

-setting up the testing process from scratch for different project
-anexperience in automation testing on DB level and automation using different ETL tools.
I am a manager of a team of Data QA engineers who is responsible for data quality testing/DWH testing. I have an experience setting up the testing process from scratch for different project, also I conduct all agile processes in my team.

My team works on automation testing on DB level using different tools.
Good knowledge of : T-SQL,  SSIS,  Snowflake, Apache Ariflow, Tableau,SSRS, management studio, Visual Studio,   ETL processes, GIT etc
Professional growth, good team, adequate management, interesting project and tasks.
Position: Data Quality and Governance Leading Analyst
Category: Data Analyst
Experience: 5 years | English: fluent

Provided the project idea of increasing sales of the Credit Cards by using Mobile Model details.
Currently I work in ABB Bank (prev. International Bank of Azerbaijan) as a Data Quality and Governance Leading Analyst.
My main job responsibilities implement Data Governance within banking domains with Data Domain Owners and Stewards, improve quality level of data by updating and creating procedures using certain algorithms, provide the data quality rules to Banking System Support team for preventing future Data Errors, prepare dashboards, monitoring reports and alerts on current data to determine anomalies and non-standard values for CDEs (Critical Data Element) in each domain. In my previous agile projects I have prepare analytical reports for Customer-360 Project in order to increase the sales using digital channels.
Position: Data Quality Engineer
Category: Data Engineer
Experience: 5 years | English: upper


Current position - Data Quality Engineer 
 Aug 2021 - Present 
 Performing testing of new sources ingestions to the database 
 Testing of complex extracts and results verification 
 Performing DQ for migration between databases 
 Testing of Tableau dashboards, calculation verification 
 Serving three different development teams within company 
 Most used tools SQL and Python (pandas, sql connectors, jupyter notebooks)

Previuos experience:
Graduate Product Engineer - 3 month (Hardware)
Data Management Specialist - 3 years (Aviation)
Position: Data Quality Engineer
Category: QA Automation
Experience: 2 years | English: intermediate


- Development of scripts for automated DWH testing.
- Developing scripts for ETL testing.
- Power BI dashboard testing, including DAX validation.
- Working on report performance tuning.
- Developing automated Power BI visualization verification
using APIs and Python.
- Working with the Power BI backend (developing and
maintaining SQL views).
- Active participation in HIVE -> Synapse migration.
- Writing test documentation.
- Requirements gathering, analysis and testing
- Short-term maintenance of Azure Data Factory in
another part of the project.
Position: Data Quality Engineer
Category: SQL
Experience: 8 years | English: upper

Exam 461: Querying Microsoft SQL Server 2012  
Exam 463: Implementing a Data Warehouse with Microsoft SQL Server 2012/2014
Domain: Healthcare, Retail, Financial, Banking

My most recent role involved in-depth business process analysis, where I meticulously documented various workflows for optimization. A key aspect of my responsibilities was the effective use of SQL for data gathering, analysis, and cleaning, ensuring the integrity of the information we worked with.
My role involved constant communication and collaboration with fellow engineers, managers, and customers, ensuring alignment with project objectives and successful execution.
Additionally, I had the opportunity to conduct technical interviews, where I assessed candidates for technical roles.
Overall, my extensive experience in business process analysis, data management, client support, and technical proficiency with SQL equips me to contribute effectively to any project, driving tangible results for the organization.

Tools:
MS SQL Server Management Studio, MS Visual Studio, Excel, SSIS, Azure DevOps, Jira

Technologies:
ETL, Database core
Position: Data Quality Engineer
Category: Data Engineer
Experience: 3 years | English: intermediate


Have experience of working as Data Engineer for 3.5 years. Quickly adapt to changes, attentive to new information, like to switch to smth new, have no problem with monotonous work, can perform my responsibilities both solo and in team.
Position: Data Quality Engineer
Category: SQL
Experience: 2 years | English: intermediate

Certifications:
- 8 Microsoft Azure
- 5 Snowflake
I am a Data Integration Engineer with good technical knowledge and communication skills.
I enjoy working with data: programming the collection, storage, processing, retrieval, visualization of data, building pipelines
I am a fast learner, result-oriented, and a team player person with an analytic mindset.
I am ready for self-development and learning a lot of material in a short time.
One of my goals is to make the day-to-day customer's cooperation with me easy and comfortable.
My technical skills:
- Strong knowledge of Snowflake, MySQL, Aurora;
- Experience in Data Integration Tools (ETL: Snaplogic, SSIS);
- Skills in NoSQL DB (Redis Cache);
- Experience in AWS: S3, ElastiCache(AWS Redis), CloudWatch;
- Knowledge of ETL/ELT, DWH, Data Lake, and Data Mart;
- Skills in reporting and visualization (Power BI, Qlik Sense);
- Experience in using Testrail, RabbitMQ, REST API, Postman;
- Experience in using Git, GitLab;
- High responsibility and reliability, good team relationships, dedication;
- Successful participation in the product demos.
Position: Data Quality Engineer
Category: QA
Experience: 9 years | English: intermediate

Licenses & Certifications:

Microsoft Certified: Azure Data Engineer Associate
Issued Jun 2020 - Expires Apr 2023
I219-3579

MCSA: SQL Server 2012/2014 - Microsoft
F875-2109

Data Engineering, Big Data, and Machine Learning on GCP (Coursera)

ISTQB, Foundation Level - ISTQB® - International Software Testing Qualifications Board
15-CTFL-71173-03

Accredited Software Tester Certification - International Software Test InstituteTM
15694286321289

Data Analysis with R Programming (Coursera)
57XT6PTFNTU5
I've been working as a Data Quality Engineer for more than 8 years. I have solid experience in Quality Assurance as well as Data Engineering.
My responsibilities in recent projects include: requirements gathering and analysis; user story creation; data modeling; developing ETL; data analysis and curation; test cases and scenarios creation and execution; defect tracking; test results reporting.
I have experience with the following manual testing techniques: Functional testing, Localization testing, GUI testing, Regression testing and Exploratory testing.
I have experience in cloud technologies: Azure, AWS, Google.
Good knowledge of SQL, XML, JSON, basic knowledge of Python. 
I am able learn new technologies quickly and worked successfully in multicultural environment. I am result-oriented.
Position: Data Quality Engineer
Category: QA
Experience: 7 years | English: upper

Several successful accomplished projects by myself.
Jan 2022 - Present  

•	Build SQL scripts for backend validation (Big Query) and perform data quality analysis 
•	Looker reports (Data verification, administration, dashboards, custom filters)
•	Test strategy development for migration to the UDMH model 
•	Root cause analysis of data issues
•	Participate in the code review process
•	Testing migration from AWS to GCP
•	Generating test data
•	Integration testing
•	Conducting Demo sessions for the customer and business team
•	DAGs — Airflow Analysis
Skills: Google Cloud Platform (GCP), DAGs- Airflow ,FHIR, DAG, Google BigQuery ,Looker, SQL ,Git, Python


•	Build technical test cases (SQL) and automate them by using the existing “Data Testing framework” for end-to-end testing of data transformation (C#) 
•	Test database migration from SQL server 7 to SQL server 2012
•	Stored procedures, jobs, and functions testing (e.g.: Search functionality)
•	SSRS report testing (Functional, Usability, Performance)
•	Identification of bad data and root issues analysis
•	Web applications (functional) testing
•	Conduct interviews (ETL and Databases for QA)
•	Build approaches in testing different subprojects
•	Performance testing of databases
•	Conduct own training in Epam (Databases for QA)   
•	Test plan, impact analysis, and test documentation development for data transformation testing
Skills: C#, SQL ,Git, SQL server 2012, SSIS, SSRS



January 2016 –   August 2017
       Role: QA Engineer
•	Writing test documentation (Test plan, Test cases, Business cases)
•	Perform testing of database migration: creation test scripts using sql, reading SSIS error logs and understanding the problem of fail, investigation bad data
•	Teaching business users perform testing on  UI system
Tools: SSIS, SQL Server   
•	Preparation, investigation and uploading  appropriate content for production demonstration
•	Testing(IOS application and web portal) : Functional, Smoke, Regression;
•	Web Services Testing (Creating mock test data( json, xml format) SOAP UI)
Tools: SOAP UI.,WinSCP (XML,JSON  format) 
•	Web applications testing (New features, maintains)
•	Testing: Cross-browser, Functional, Smoke, Regression, localization
•	Functional analysis
•	Bug reporting: Jira,Mantis
Interesting project area (e.g Healthcare), friendly team and opportunity in career growth
Position: Data Quality Engineer
Category: QA
Experience: 0 years | English: intermediate


Project Roles: Support Specialist
Project: Automation retail network ( more than 150 stores )
Participation: 
 Resolved tickets submitted by users via support ticketing system.
 Investigated and troubleshot issues reported by users.
 Delivered users feedback on the product to the development team.
 Created knowledge base content and how-to articles on the product for users.
 Generated statistical reports to identify trends in user’s tickets.
Team: 3 Support Specialists
Database: MS SQL, Oracle
Tools: Jira, Ivanti, Putty, WinSCP, FileZilla, Notepad++, Subnet and IP calculator, ZenMap, NMap, IP scanner, POS software, Office 365, Oracle VirtualBox
Technologies	Point to Point, Multi-point, LAN, WAN, VPN
Not interested in the companies or projects that are related to casinos, gambling, credits.
Position: Data Quality Engineer
Category: QA
Experience: 5 years | English: intermediate


Young and experienced Software Testing Engineer with knowledge of software testing and quality assurance methodologies
Knowledge of software development, testing procedures
Knowledge of testing tools, information architecture, and manual testing
Knowledge business process and testing life cycle
Ability to communicate proficiently with excellent analytical skills
Experience:
• Analyzing requirements, user stories
• Development and execution of test cases
• Мanual testing Client/Server (acceptance, regression, functional, UI, integration)
• Testing ETL processing
• AI testing
• Writing SQL Query for testing
Git, GitHub, MySQL, MS Access
Position: Data Quality Engineering
Category: Data Engineer
Experience: 1 years | English: upper


- SQL, good understanding of ETL and Database testing 
- Creating bug-reports and test cases in Jira, Mantis, TestRail and TestLink 
- Cross-browser testing (Safari, Google Chrome, Opera) of web apps (functional testing, testing of layouts)
- Testing mobile apps and games.
- Preparing checklists, test plans, core loop and checking the GDD of the game on discrepancies and making improvements. 
- Implementation Web-app "Customer portal" for ordering and processing of goods (beta-testing)
- Testing of up-grading  the Web-app "Customer portal" (beta-testing)
- Testing of up-grading  SAP/Hana (assignment of test cases in Jira)
- Writing the requirements  for adaptation 1C for company's needs (personal issues and salary), control  over implementation and testing. 
- fluent German
Position: Data quality manager
Category: Data Analyst
Experience: 10 years | English: upper


1p years of experience working in Data Quality

Mainly responsible for the managing projects and teams in Data including designing data quality frameworks and dashboards, gathering requirements and working with client on the data quality approaches. Worked with databricks, snowflake, Aws platforms.
Looking to the projects for the b2b collaboration
Position: Data Research Analyst
Category: Lead Generation
Experience: 2.5 years | English: upper


A self-driven and responsible Leads Researcher with 3 years of experience in data research to provide strategic insights that can help to drive the success of the sales and marketing efforts. Proficient in Google Sheets, Excel and automated tools used to gather, verify and validate real-time data for email and LinkedIn outbound campaigns. A problem solver with excellent rapport-building and collaboration skills.