lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Software Engineer
Category: Data Engineer
Experience: 1.5 years | English: fluent

PhD in Physics
• Development of Ultrafast Laser Spectroscope. 
• Publications in high impact journals. 
• EOLE Research Scholarship.
Motivated Data Software Engineer with solution-focused thinking. Enthusiastic about Software Development, Cloud Computing and Physics. Developer of Data Software Solutions (Clouds, Hadoop, Spark, Kafka), Web Applications (Java, Spring Framework) and Data Analysis software (Python: NumPy, Pandas). Shown expertise in Spark, Kafka, Apache Airflow, dbt, Docker, Java, Scala, Python, SQL, Issues Solving Communication, and Team Management. 

EPAM Systems
Stack of technologies: AWS, Kafka, Java, Spring, SQL, Jira, Scrum.

Big Data Lab, EPAM Systems
Stack of technologies: cloud platforms (GCP, AWS); cloud-native services; data management and design; distributed file systems; distributed processing tools, e.g., Spark; streaming technologies, e.g., Kafka; NoSQL databases; scheduling and orchestration):
• a theoretical course under the mentorship of production specialists;
• practical tasks; 
• evaluations.

During the academic part of my career I have acquired a solid background in Programing, Data Analysis, Numerical Simulations, Physics, Communication, Team Management and Issue Solving. 

I am open to new career opportunities to proceed in the Data Software Engineering and to acquire new experience to expand my competences and to advance my career to the next level.
Position: Data/Software Engineer
Category: Data Engineer
Experience: 2 years | English: fluent


Currently, I work as a data engineer and technologies I work on a daily basis are pyspark, azure, databricks, python and SQL. My job is consists of mostly data transforming and analysis using spark, python, and SQL.
My goal is to get a data/software development job that is more focused on building products.
Position: Data/Software Engineer
Category: Java
Experience: 5 years | English: upper

Like to do performance optimizations in bottleneck areas of systems/applications: 
decreased execution time (30-300 %) and resource usage(20-40%) for a few web apps/ETL;
helped in DWH migration(about 1000 tables) from different data sources to new DWH on top of BigQuery by providing framework instead of writing flow for each db;
automated the way of data transformation from different data sources by writing a framework, so now you can use only configuration file instead of writing new project and deal with totally new CI/CD.
Got experience in:
• Big Data - 3.5 years(pipelines migration from old tech(Hadoop, Hive) to the new one(Spark, Airflow, BigQuery), new ETL pipelines development from scratch. Developed part of the platform for quantitative traders(2 TB of raw events from stock markets every day): market data handlers, ETL/ELT flows, and other parts of data provisioning.
• Backend development - 1.5 years - shipped to production cloud microservice system for US legal firms; designed and implemented the main part of the new REST API  for the R&D company in the automotive area.

Programming languages: Java, Scala, Python
DB: Relational(Postgre), Non-relational(HBase, BigQuery)
Frameworks/tools: Spring(Cloud, Boot, Data, Security, REST), Hibernate, Junit, Mockito, QueryDSL, Liquibase, KeyCloak.
Data processing stuff: Hadoop(MapReduce), Spark, Hive, Impala.
Message bus: Kafka
ETL Schedulers: Airflow, Azkaban, Autosys
Version control systems: Git
Build tools: Maven, Gradle
Cloud Platforms: GCP, AWS
I'm looking for an interesting project and ready to deal with back-end or data processing. Not interested in Java EE legacy project or front-end development.
The most desirable project will be the one with a cool team and an interesting domain area(crypto, fintech, automotive and so on, it is not the constant list :) ).
Financial compensation is negotiable within reasonable limits depending on the project, team, role.
Position: Data Software Engineer (Java/Scala/Groovy)
Category: Data Engineer
Experience: 2 years | English: upper

Main achievement is prepared generic solution of Delta table monitoring mechanism, that is currently accepted for all other similar features on project. I'm enthusiastic in building architecture of data pipeline and few my ideas was approved by customer and implemented.
On last project I was working on development ETL data pipeline using Apache Spark, Scala, SQL on Databricks.
General description of project activity:
1. Creating monitoring mechanism using CDF (Change Data Feed) tool
2. Loading batch data using Apache NiFi and store data on AWS S3 storage
3. Loading data from AWS S3 bucket into Databricks bronze layer table as Delta table with location on AWS S3.
4. Extraction and transformation data from bronze layer table based on business requirements and save result on silver layer
5. Creation of streaming flow for INSERT/UPDATE/DELETE both layer tables
6. Introduction of logging and metrices collection
7. Dashboard creation based on collected metrics
8. Creation of Databricks data flow using notebooks created earlier.
9. Promotion into production environment.
10. Working with Databricks APIs (Secrets API, Jobs API etc.) and CLI

On previous projects I worked with Apache NiFi, where we built data pipeline using Groovy. Also my previous experience include Apache Kafka, ELK stack, Cassandra etc.
I have some educational experience with Google Cloud Platform (GCP) and Azure Cloud.
Other hands-on tools: DBeaver, Postman, Kibana, DataDog, Terraform
Position: Data&Solution Architect/DBA as a service
Category: SQL
Experience: 7 years | English: intermediate

Oracle SQL Certified Assotiate(1z0-071);
Postgres Certified Assotiate;
Python Entry Level Certified;
Database administrating(Oracle, Postgres, MSSQL, MySQL, MondoDB); Backup and Replication(Data Guard and etc.); Optimization of SQL code; Experience with bank systems(FlexCube, GNI);
IT Governance; Solution Architecture;
DB Administrating; IT Governance; Solution Architecture; Optimization of SQL-code; Data Architecture
Position: Data Solutions Architect
Category: Lead
Experience: 11 years | English: upper


Big Data Solution Architect with more than 19 years of experience in delivering commercial applications. Has solid technical experience in research and development, people management, design and documentation
• Result oriented and pro-active, active listener and strong problem solver
• Since 2015 focused on BigData. Wide experience in implementing Data Lake, Lambda, Lakehouse architectures on leading Cloud platforms (AWS, Azure). Supported multiple customers and development teams in digital transformation projects as Data Solutions Architect
• AWS Certified Solutions Architect – Associate
Position: Data/Solutions Architect
Category: Lead
Experience: 7 years | English: upper

TOGAF 9.2 certified.
Huge technical and development background.
17+ years in IT, 6+ years on a position Solutions Architect.
TOGAF certified.

Main duties: solutions for dataflows across the company's services development, integration (API) interfaces design, close work with Enterprise Architects.

Looking for Data/Solutions Architect position.
Not looking for a position with 50+% presale activities.
Position: data specialist
Category: Other
Experience: 2 years | English: upper


Content research and collection. 
Work with brands portals and Dropboxs.
Images modefication in Photoshop.
Images queued and processed. 
Images quality QA
Spreadsheet modifying.
Excel formulas execution. 
Data troubleshooting. 
Email communication with clients. 
Preparation of internal documentation in Confluence.
Work with CRM (Hubspot) system.
Position: Data Specialist
Category: Data Science
Experience: 1 years | English: upper


Computer literacy, MathCAD, MS Office, Photoshop, ProZorro, experience with Atlassian (Confluence, Trello, Jira).
Russian (native), Ukrainian (native), English (upper intermediate).
Driving license category B. Experience with clients. Organizational skills. Writing articles, technical documents, guidelines. Drawing up technical specifications, estimates, timings. Working with OKR system. Onboard training for newcomers.
Position: Data Specialist
Category: Data Analyst
Experience: 0 years | English: intermediate

My name is Karina Reznichenko and I am an undergraduate student at the Kharkiv National University of Radio Electronics, Applied Mathematics. In addition to Applied Mathematics, I am interested in such fields of study as data analysis, decision-making analytics, business analytics. Excellent grades in subjects fully confirm my activity in the learning process. I actively participate in university life and volunteer activities.
Currently, I have no experience in IT, but I am a student majoring in applied mathematics, in addition, I am actively interested in and studying data analysis, business analysis, decision-making analytics, etc.
Position: Data Specialist
Category: Data Science
Experience: 11 years | English: upper


First of all, I am an experienced IT Specialist possessing over 20+ years of experience working in IT. I spent most of my time providing analytical support to stakeholders, developing visualization tools, managing and coordinating IT projects. 
I have developed extensive knowledge and expertise in the field and gained valuable experience in various aspects of this job. Besides collecting and examining large datasets, I am fully skilled in creating and implementing data models, producing detailed reports, and performing multiple data management tasks. Moreover, my previous roles have helped me to develop and significantly improve my attention to detail and accuracy and gave me a chance to see and feel what it's like to be a part of a deadline-driven and fast-paced business environment.
Position: Data Specialist
Category: Data Analyst
Experience: 1 years | English: pre


For the time when i was working as data specialist i've learned to work with a high amount of incoming data, ways to solve the issue based on this information and providing this ways to solve for my co-workers.
I was working with a original tools that my company have made and for that time there was plenty of the new updates each week, so i've learned quick adaptation based at this updates.
My passion is to grow in to master of my skills and learn each time, something new.
Position: Data Specialist
Category: Other
Experience: 0.5 years | English: upper


I worked as a regional development expert.
My responsibilities were:
Finding grant projects;
Writing regional development projects;
Monitoring of Internet resources of leading donors in Ukraine and abroad;
Participation in the search for partners;
Organization of Supervisory Boards;
Preparation of regulatory documents;
Translation of grant applications.

I'm highly motivated to learn and deep in the deepest water of any profession!
Position: Data/System analyst
Category: Data Science
Experience: 6 years | English: intermediate


Continuous monitoring and analysis of key indicators fraud risks. Understanding the ways, methods and procedures of fraud. Investigation fraud incidents in the system and organization.
Counteracting the risks of negative consequences of malware, scammers, crawlers, bots, financial fraud, illegal actions of users and customers of the system.
Interpreting large amounts of data to formulate a problem statement, conclusions about dynamics, trends and opportunities for major fraud risks.
Experience working with  payment and KYC providers.
Verification of clients, analysis of activities and anomalies for fraud behavior, blocking of fraudsters.
Experience in building, implementing and testing scoring models, developing algorithms, developing methods for detecting and methods of preventive protection against fraud.
Automation in the field of fraud protection, creation an effective system of antifraud protection. 
Provide consolidated reporting of trends in fraud risk across the organization to general management.
Good knowledge of data science, data mining, statistical analysis methods, mathematical model building.
Experience with Python, numpy, pandas, scipy, scikit-learn, plotly/seaborn. 
Working with databases MySQL, Clickhouse, MongoDB, HDFS(Hive, Hue).
Experience with task trackers(JIRA, Confluence, YouTrack, Redmine), the ability to prioritize tasks,  user stories, manage backlog, compile a product roadmap. Modeling and description of UML business processes.
Analysis of the IT solutions market, analysis and identification of business needs, their implementation, verification of sold products for compliance with requirements. 
Experience in successful certification of antifraud protection by international certification center (TAG), cooperation with international antifraud companies Forensiq, White Ops, Anura, Secure D, BotRadar, etc.
Consulting and training the anti-fraud team in the use of specialized software, creating instructions and regulating the escalation of cases. Analysis and recommendations for improving the software taking into account the requirements of the fraud protection functionality.
A clear understanding of the Software Development Lifecycle for Enterprise, web, mobile applications. Using agile development methodology (Scrum). Understanding the internal structure of web projects.
Analysis of the IT solutions market of business needs, their implementation, verification of sold products for compliance with requirements.
Position: Data / System  Analyst
Category: Data Analyst
Experience: 0 years | English: upper

Recently finished Google Data Analytics specialization. Worked on some case studies and personal projects that could be found in the resume. 

I am a Kaggle contributor - took part in the Kaggle competitions. My notebooks can be found in my resume. 

Keen on learning languages, English in particular. Have a certificate for the B2+ level, preparing to pass the exam for the C1+ level soon.
I have no practical working experience in the Data Analytics field yet, but I am a fast learner ready to work hard, solve problems, and evolve. Have practical knowledge of R, SQL, and Python, Power BI, MS and Google tools, etc. 

At the university had learned and was interested in algorithms for AI, Machine Learning, worked with web development (HTML + CSS, JS),  and studied functional programming with Scala.  

Finished Google Data Analytics specialization. I worked on some case studies and personal projects that can be found on my Kaggle page in my resume.
I am interested in analyzing, visualizing, and making predictions for further analysis or business decisions.

Open for internships in Data Analyst fields, or, maybe, in Data Science field, etc.
Position: Data Team Lead
Category: Data Science
Experience: 8 years | English: fluent

- Designed, developed, and implemented machine learning models to solve complex business problems.
- Conducted data analysis to identify trends, patterns, and insights in large data sets to support business decisions.
- Managed projects from start to finish, ensuring on-time delivery and high-quality results.
- Led cross-functional teams and stakeholders to identify and prioritize data-driven initiatives.
- Communicated complex data analysis and insights in a clear and concise manner to stakeholders of all levels.
- Developed and implemented data visualization dashboards to communicate insights to cross-functional teams and stakeholders.
- Provided thought leadership on data science and machine learning initiatives.
Highly skilled Lead Data Scientist/Data and Advanced analyst with 8 years of experience in designing, developing, and implementing data-driven solutions to solve complex business problems. Proficient in machine learning, statistical modeling, and data visualization. Excellent communicator with the ability to lead cross-functional teams and stakeholders. Strong track record of delivering high-quality results and driving business growth through data-driven insights.
Interesting project/product with high quality and motivated team. Cutting-edge technology.
Continuous Learning: Stay up-to-date with the latest advancements in data science and machine learning and continuously improve skills and knowledge.
Position: Data Team Lead/Data Delivery Manager
Category: Data Engineer
Experience: 8 years | English: fluent

Will be described in CV.
Seasoned Team Leader on a complex project. Successfully managed a team of up to 10 Data Engineers, at the same time
acting as a Resource/Functional Manager for a pool of up to 20 Data/Data Quality Engineers.
Currently transitioning from Team Lead role to the Delivery Manager. 
Experience in building Data project from scratch on Azure, using multiple sources/targets for ETL, such as ADLS, SFTP, CosmosDB, Azure SQL, and completing migration projects (on GCP from Oracle to Postgres). Proficient in Azure DevOps, engineered CI/CD pipelines (classic and yaml) for ADF, Snowflake, Azure SQL.
Conducted multiple Technical Interviews, seniority evaluations, project and manager interviews for projects and company needs.
Hands-on experience with multiple DBs (Teradata, PostgreSQL, Azure SQL, Snowflake, MS SQL, Oracle, Hadoop).
Experience in major cloud technologies: Azure (main), AWS, GCP.
Proactive and continuously growing. Always trying to deliver more and ahead of schedule.
Responsible for architectural decisions in various teams.
Can easily communicate with the customer and present the progress to teams and/or stakeholders.
Interpersonal skills: Active Listening, Communication, Flexibility, Helping Others, Humor, Motivation, Patience, Persuasive, Fast Learner, Knowledge Seeker, Responsive, Eager to go extra mile.
Interested only in DWBI/DWH/ETL projects as a Team/Tech Lead or Data Delivery Manager. No preferences for team size. Cloud stack is mandatory (Azure preferred).
Position: Data Team Lead/Head of data
Category: SQL
Experience: 11 years | English: upper

find opportunities for business growth at least on +30%.
10+ years in analysis and team management.
Technical skills:  MySQL, PostgreSQL, Tableau, Python.
Find ways for business growth.
High communication, interpersonal and leadership skills. 
Experience in different projects and business areas.
looking for company with lifetime balance, good team and opportunity to grow with the company.
Position: Data verification/Data entry
Category: Lead Generation
Experience: 0.5 years | English: upper

Able to prioritise important tasks and work in team. Attentive to details and able to check thoroughly for any matches or mismatches
6 months as Verification manager and 6 months as Data research/Data entry. 3 months as Shift leader assistant.
Was taking сare for checking data in documents and filling corresponding values in internal system
Position: Data/Video Analyst
Category: Data Analyst
Experience: 1 years | English: upper


- worked with the analysis and identification of key elements of video advertising for major companies of Mobile Gaming Industry and online banking apps targeted on Meta, Google, Snapchat and TikTok                                   
- evaluate key performance indicators, provide ongoing reports, and provide recommendations on elements that not used before in order to appeal audience
- stakeholder management
- create documentations about features of video creatives for clients` apps
- discover new creative elements that worked well for competitors by comparing elements in clients` creatives and competitors`
- interacting with potential customers
- decision-making and problem-solving during teamwork
I'm open for new experience, professional and personal development.
Position: data visualisation
Category: Data Analyst
Experience: 2 years | English: fluent


About me: 
I am passionate about giving you full access to your data and allowing you to get easy access to the insights needed to improve your business. The data world has grown faster than we've had the ability to consume it, and I'm here to help you catch up.
My recent work history includes four years of data strategy focusing on agile analytics and data visualizations. I am able to understand your data and present it to you in an appealing way to bring you the answers you need.
Further, I have three years experience as a business analyst, bridging the gap between industry and technology to deliver successful IT projects.
My combined experience gives me the ability to quickly integrate into new team, easily catch the understanding of the environment and provide value almost immediately.
Let's start your next project!
Position: Data Visualization Engineer
Category: Data Analyst
Experience: 10 years | English: intermediate


Creating dashboards using Tableau, PowerBI, Excel.

Practical Experience and certification earned in GA (GTM, UGA, GA4)

Over a decade of experience in presentation and report design, web layout coding & data visualisation.

Expert knowlege of Adobe Creative Suite bundle (Ps, Ai, Ae, Id, An)

Mid level of HTML5 / CSS3 / JS / PHP,  but with a practical experience of implementing. 

Basic knowledge of Python in data analytics envoirement (numpy, pandas, matplotlib, seaborne)

Understanding data managment stack and have a practical skills of quering via SQL.

Degree in computer science (Production Electronics)
I am looking for opportunites in dashboard design and layouting. If you need taylored your data visualisations prepare to presentations i'm a right person to cooperate.
Position: Datawarehouse Architect (BI end-to-end, ETL)
Category: Lead
Experience: 11 years | English: upper


Berlin Brand Group
Solution Architect Data warehouse
Responsibilities:
-	Architecting and designing large data platforms, data warehouses, data lakes, streaming applications, data ingestion and distribution pipelines
-	Migrate existing Data Warehouse to cloud Data Warehouse using best practices
-	Supporting the BI with real-time process reporting and allowing the business stakeholders to interact with operational processes
-	Interfacing with different HQs to adjust and to adapt existing solutions to entire global Data Warehouse
-	Evaluating, testing, and realizing modern data solutions offerings
-	Design and implement cloud-based solutions for existing solutions and new ones

Jean Edwards Consulting, Latvia
Database Architect
Insurance/Reinsurance clients
The projects were dedicated to migrating financial data (contracts, accounting) from different sources to target system SICS.
Responsibilities:
-	ETL design and implementation
-	Design DWH structure
-	Data validation, Data Quality
-	Data migration
-	Data reconciliation
-	SQL performance tuning

Accenture, Latvia
Pharma client
Technical Team Lead
The project was dedicated to providing support for multiple different applications and enhance existing data flow.
Responsibilities:
	Coordinate work of cross ST team (15 ppl)
	Technical point of contact for the offshore team in supporting to solve tasks according to existing SLA
	Continuous improvement for Trade Marketing
applications
	Key contributor in communication between business and team
	Participating in Due Diligence, Knowledge
Transition sessions
	Clarify business requirements for incoming business requests for change requests to team
	Manage risks and issues on the service

EPAM, Belarus
UK Insurance client
Senior DWH developer

The project was dedicated to reorganizing old DWH structure for a new ETL process for extracting data including writeback operations to check and edit existing data in older system.
Responsibilities:
	ETL design and implementation
	Design DWH structure
	Data validation, Data Quality
	Integration with Azure
US Legal Tracker
ETL / DWH Developer

The project was dedicated to implement multidimensional SSAS cube, adjust existing ETL process and DWH structure.
Responsibilities:
	Design of SSAS cube
	DWH modeling
	Implementation and maintenance of ETL
	Performance tuning of the implemented ETL solution
	Architecture design
	Azure integration