lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Engineer
Category: Data Engineer
Experience: 3 years | English: fluent

•	Supported and monitored daily Data Processing
•	Support of existing Datalake (Adverity, Talend, GCP BigQuery) solution, issues troubleshooting
•	End-to-end data flows checks
•	Data issues investigation
•	Data transfer maintenance
•	Creating, fixing and improvement ETL's procedures based on Big Data solutions
•	Extension of ETL processes
•	Designing database schema according to data processing needs
•	Creating new Looker explores within LookML models
•	Creating new explores, improving existing dashboards in Looker Studio
•	Improvement of existing ETL processes and data transfer
•	Loading data from different external systems into Data Warehouse (ETL) (Informatica, Netezza)
•	Data quality insurance
•	Development of Reports and Dashboards (MicroStrategy, Excel,  DB2, SSIS)
•	Providing Ad-hoc reports
•	Maintenance and Enhancement of existing standard reports
•	Working with external/internal requestors to develop and analyze BI needs
•	Data analysis and providing insights

Technologies:
•	GCP BigQuery
•	Adverity
•	Informatica
•	Netezza
•	DB2, AS/400
•	MicroStrategy
•	MS SQL Server 	
•	MS Excel
•	Git
•	MS Visual Studio (SSIS)
•	Data Warehouse, ETL
•	Jira, Confluence
Work Experience:

 - 01/2022 – 06/2023 - Data Engineer (Advertising)
- 10/2020 – 01/2022 - BI Developer (Finance)
- 08/2018 – 10/2020 - Data Analyst (Healthcare)

Experienced Data Engineer with a background in collecting and processing data from multiple sources into Data Warehouse as well as data analysis and visualization tools. Also worked as Data Analyst, contributing to data ingestion and reporting for notable clients in the Finance, Healthcare and ERP sectors. Adept at utilizing tools such as GCP BigQuery, Adverity, Netezza, Informatica, MicroStrategy, MS SQL, Excel. Demonstrated ability to deliver data-driven solutions and provide valuable insights to stakeholders.
Collaborative team player with good soft skills. Detail-oriented and committed to data integrity and accuracy with analytical, research and problem-solving skills.
Preferably looking for the long-term project.
Position: Data Engineer
Category: Data Science
Experience: 2.5 years | English: upper


Work experience: 2.5 years
Samsung Electronics Ukraine R&D Center | Software Engineer | Mobile Commercialization for CIS customers

I am looking to make a career change and start working in the data science field.

In preparation for that, I finished many paid courses through which I worked with and obtained the following technologies/skills:

Programming: Python, R, SQL

Data Science Packages: pandas, NumPy, matplotlib, seaborn, sklearn, XGBoost, TensorFlow 2, Keras

Data Science Algorithms:
•    Classification (Logistic Regression, Naïve Bayes, KNN, SVM, Decision Tree, Random Forest, XGBoost)
•    Regression (Linear, Multiple Linear, Polynomial, SVR, Decision Tree, Random Forest, XGBoost)
•    Clustering (K-Means, Hierarchical)
•    Association Rule Learning (Apriori, Eclat)
•    Reinforcement Learning (UCB, Thompson Sampling)
•    Deep Learning (ANNs, CNNs)
•    Cross-validation (k-fold)
•    Hyperparameter tuning (GridSearch)

Tools:
•    PostgreSQL
•    MS SQL
•    SSIS
•    Jupyter Notebook
•    Tableau
I am very passionate about data science in general. My goal is to constantly learn and improve while applying my skills in practice. Currently, I am continuing studies in the field of ML/DL and aiming to grow fast.
Position: Data Engineer
Category: Python
Experience: 1.5 years | English: upper


WORK EXPERIENCE

Data Engineer
Temabit | Dec 2021 - now
- Building DWH for analytical department of mobile bank project.
- Writing sql queries and procedures (MS SQL Server).
- Designing and developing data pipelines (Airflow, Python).
- Experience with MapReduce frameworks (PySpark).

Data Engineer
Avenga | Feb 2021 - Nov 2021
- Developing integration flows to connect different sources, mainly REST API, Salesforce, RDBMS, DWH, Cloud File Storage, etc.
- Migration of an existing integration solutions to the IICS.
- Experience with RDMBS (Oracle, SQL Server, Postgres, etc.)

JS/SQL Developer
FUIB| Sep 2020 - Feb 2021
- Risk strategy developing and optimization.
- Writting technical documentation.
- Building sql queries and procedures

Purchase Manager
Goodwine | Feb 2016 - Feb 2020
 - Analyzing sales and money turnover.
 - Keep track of retail industry trends and new products.
 - Negotiating contracts with third parties and suppliers.
 - Developing and structuring analytical reports.
 - Organization of the educational process of sales team

COURSES

 - Data Science & Engineering - DataRoot Labs 2018
 - C++ Basecamp - Global Logic 2018
 - Python Developing - EPAM 2019
 - Stepic / Coursera: Math, Statistics, Python / C++ Programming, NN
Position: Data Engineer
Category: Data Engineer
Experience: 1 years | English: upper

Have improved the internal organization of project – reorganized the process of sprint releases and backups for project essential things. Developed a new ETL process and implemented a new pattern for data cleaning. In addition, I implemented a pattern of interacting with the source in close to real-time - to improve the project in the future.
Working as a data engineer - ETL and DWH on Azure stack - (Azure data factory + MSSQL + Azure functions on Python).
Last year passed an internship in C# + Angular stack.
Have a couple of pet projects based on ASP.NET MVC + SQL and ASP.NET Core + SQL and Angular.
Looking for new knowledges, friendly team,  and field for growing as a specialist.
Position: Data Engineer
Category: Data Engineer
Experience: 6 years | English: fluent

1) Formed Strong Team;
2) Developed 100% processes;
3) Deployed Airflow using with Git sync for Team;
4) The largest number of educational materials in Department;
5) Passed RHCSA, good sysadmin;
6*) Survived brain surgery.
Working experience: 6 years;
Great soft skills. 

2.5 years as Data Engineer: ETL, Informatica PC/DEI, Oracle/Postgre/Hive databases, Datamart Development, workflow orchestration, research and development. 
3.5 years as Red Hat certified System Administrator (teamlead, data center operations, DevOps)
Looking for new experience, projects and continuous development. True leader, reach the goals.
Professionalism is my top priority and advantage.
Position: Data Engineer
Category: Data Engineer
Experience: 4 years | English: upper

Certified Microsoft Azure and GCP Data Engineer.
Working with streaming data using PySpark, Kafka, Azure and SQL.
- SQL;
- PySpark;
- Azure;
- Python;
- Kafka;
- Microsoft Excel;
- Jira;
- R;
- Python;
- MySQL, PHPMyAdmin;
- Ubuntu (Linux);
- PHP, Wordpress, Symfony;
- HTML5, CSS3, jQuery.
Position: Data Engineer
Category: Data Engineer
Experience: 4 years | English: intermediate


·	Writing Advanced SQL queries 
·	Finding errors from Stored Procedures and views
·	Creating new stored procedure or views for new part of business.
·	Optimizing queries
·	Analyzing advanced queries and rewrite them from zero
·	Creating new Reports from zero using SSRS, Report Builder, Quicksight, Tableau or PowerBI
·	Checking reports working correctly or not
·	Finding easy way to difficult solutions
·	Extract data using SSIS or ADF
·	Using SSIS multi tasks(DATA FLOW, Script, For Loop, For Each Loop, Execute SQL task, Execute Package Task, Execute Process Task, Sequence container)
·	Working with data using Python (Numpy, Pandas, Matplotlib and other libraries)
Position: DATA ENGINEER
Category: Data Engineer
Experience: 4 years | English: upper

Second place in the republic at the logic olympiad
First place in the city at the Physics Olympiad
İn my first job ,İ worked as a SQL reporter at the bank. Our team was building a new Dwh and as a new employee,i prepared a report and analyzed the data using structured query language(Oracle SQL,Pl/SQL) .After a while, i learned Etl  and started receiving data from T24 core banking system and other bank applications .At that time i am working as a Data Engineer in one of the large banks of our country. There are a lot of big platforms and a lot of databases (Oracle  databases,Postgre,Mangodb,Core System,Cms etc). Data Warehouse project  is new and we are have already completed the project. All Data analytics and reporter already use our new project. Our tecnologies is  ETL (Sap Data Designer),Oracle Enterprise Edition and Oracle Bi. Now we support these project using Oracle sql ,Oracle Tuning and Etl . Our bank don’t allow to save their data on the cloud. That is why i am interested in Cloud technologies and i want Iearning Big Data deeply
Position: Data Engineer/analyst
Category: Data Engineer
Experience: 8 years | English: fluent


Oluchi is an experienced Data analyst / Data Engineer with over 8 years of history in the financial industry. She has successfully implemented and supported various Financial applications in several banks in Nigeria. Her core competencies are Database Development, Business Process Automation, Financial Reporting, ETL Development, Data Analysis and Visualization.

Projects: 
- Business Intelligence Solution – Implementation of On-premises Enterprise Datawarehouse
- Implementation of Azure Enterprise Data Warehouse 
- Operational data store migration from on-premise to Azure
- Monthly Performance Report

Role -  Data Engineer/Analyst
•	Design and build ETL pipelines to automate ingestion of data from various sources.
•	Maintain and optimize existing ETL workflows, data management and data query components
•	Maintained business intelligence models to design, develop and generate both standard and ad-hoc reports.
•	Generated reports and dashboards for internal and external customers for business performance monitoring and business decision making.
•	Participated in project planning sessions with project managers, business analysts and team members to analyze business requirements and outline the proposed solution.
•	Worked with Project Managers to develop and execute project plans within assigned schedule and timeline.
•	Managed the development, maintenance, and integration of enterprise data warehouse and data reporting solutions.
•	Update business intelligence and data warehousing solutions to meet changing business needs.
•	Coordinated ETL processes to retrieve data from various data sources.

TOOLS & TECHNOLOGIES		
        Database:	MS SQL, Oracle, MySQL, Sybase
Software Tools:	MS Office Suite (Word, Excel, PowerPoint), 
BI Tools:	T-SQL, SSIS, SSRS, PowerBI, Azure Data Factory
Business Skills:	IT Projects, Requirement Gathering, Presentation and Training, Stakeholder Management, Business Plans, User Documentation

•	Microsoft Certified Azure Data Engineer Associate
•	Microsoft Certified Data Analyst Associate
Position: Data Engineer/Analyst
Category: Data Analyst
Experience: 3 years | English: fluent


Data Engineer(Analyst) with 3+ years of experience in Data Integration.

- Interests: Data Analysis, Data Integration, Business Intelligence, Data

Engineering & Machine Learning. - Languages: Python(Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn), PySpark,  Matlab

- Databases: MySQL, Postgres, , MS SQL Server

- Tools: SQL, AWS, GCP, Azure, Git, Athena, Redshift, Snowflake, MS Excel, Power BI, Tableau - Other: Data structures, algorithms, distributed systems, engineering best practices
Position: Data Engineer/Analyst
Category: Data Engineer
Experience: 4 years | English: fluent

I solved a data warehousing issue we had as a team when the data we got from excel was so disorganized, dirty and consist of numerous pages. I was able to solve the issue when I joined my current company after it has been an issue for a long time. The MD was so happy about it that he rewarded me handsomely.
Snapnet Limited 
Business Intelligence Developer/Data Engineer 
• Translated business needs to technical specifications. • Designed, built and deployed BI solutions as in SQL, SSAS, SSIS, Power BI for businesses 

• Maintained and supported data analytics platforms including Microsoft Power BI, Tableau. 

• Created data storage and data models as in OLAP cubes. • Conducted appropriate data capture, data cleaning and data governance. 
• Evaluated and improved existing BI systems. 

• Collaborated with teams to integrate systems. 

• Developed and executed database queries and conduct analyses. 

• Created visualizations and reports for requested projects. 

• Developed and updated technical documentation. 

SKILLS 
Programming: Proficient user of SQL (PostgreSQL), Azure synapse, data warehousing, SSIS, SSRS. SSAS, Sql server, Python (Pandas, Sci-kit learn, NumPy, etc.) and SPSS to leverage data treatment and analysis. 

Report writing: Able to transform conclusions on highly complex datasets into simple English for nontechnical audiences. Data 

Visualization: Advanced user of Microsoft Power BI, Python visual tools (Matplotlib, Seaborn) with the ability to create accurate and creative infographics and presentations. 

Statistical methods: Expert descriptive statistics, inferential statistics, regression models and other classic analysis methods. 

Teamwork: Committed to maintaining constant communication with departmental heads to ensure business goals are being met. 

Spreadsheets: Adept in the advance usage of Microsoft Excel (Power query, Power pivot, VBAs, Lookups) and google sheets for data analysis.
I look forward to a challenging environment where the priority is to solve tech driven problems of all sorts
Position: Data Engineer / Analyst / Researcher
Category: Data Engineer
Experience: 1.5 years | English: fluent


I worked for 1,5 years in the ML Laboratory at UCU, where I performed tasks related to research, 3D computer vision, classical AI algorithms (including writing code in both Python and C++), and scientific paper writing. 
Among educational projects, I worked with Biomedical Signal Processing (more specifically, EMG processing with Python tools), Big Data (creating streaming architectures using various tools, such as Docker, Cassandra, Kafka, etc), Computer Vision (working on deep learning solutions for tasks related to MRI imaging), Geospatial data analysis and visualizations (mostly in Altair), Research (I have published papers). I also had some educational experience with microservices architecture, assembler, etc.

Currently, I am especially interested in prosthetics/orthotics development and biomedical signal processing fields, and research involving natural sciences in general.
I will not work in any company/organization which still works with russia or belarus, or which doesn't condemn the war they started against Ukraine.
Position: Data Engineer/ Analytic, Network Infrastructure Specialist or Software Tester
Category: Data Engineer
Experience: 11 years | English: fluent

Was able to migrate all on-prem backup data to the cloud for a Multi-national company (Bouygues construction) in Nigeria between 2020 and 2021.

Was able to rebuild the datacenter servers and network  for Bouygues Construction Nigeria after a fire incident in Feb 2021

Work in collaboration with France Office to rebuild the production servers in Nigeria for Bouygues in 2020, after a worldwide virus attack of Bouygues systems
Data Engineering:
1. Spin-up Kubernetes Clusters, loading of docker images (your APPs) that is meant to be exposed to the web using Google GKE
2. Use of minikube cluster to expose NGINX images (APPs) to the internet via service exposition
3. VEEAM backup data warehousing from on-prem Dell PowerVault robot system to the cloud.
4. Managing security of the GCP using IAM and provisioning of containers for data storages
5. Used Git and Github for version control
6. Can perform ETL of data from any and multiple data sources

Python Dev / Data analytics
1. Used python for all  my data analytics and visualization (also ETL)
2. Developed an ITSM ticket categorization model and exposed same to the web via a flask API
3. Developed a circuit breaker module for a client
4. Developed not less than 15 machine learning models between the year 2020 and 2022 (in the following industries: medical, financial, construction, economy, academic, etc). Codes available online in my Github

Software Testing (QA/QC)
1. Testing of Simika School management system for Testlio freelancing
2. Functional Testing of Next APP for Digivante freelancing
3. Can also handle perfectly these automation test tools: Robot Framework and Playwright
Not working on anything for Adult sites and others can be talked on and revealed before contract is signed
Position: Data Engineer/Analytics engineer
Category: Data Engineer
Experience: 1.5 years | English: upper


I've been working with data collection and data aggregation for more than 4 years. Have 1-year production experience in the product company as a analytics engineer, and before that 1.5 years as a Python engineer for data collection
Experience in data manipulation, building pipelines, preparing data for ML models, analyzing ML model's forecast results, building forecasts, and calibrating ML models.
Have experience with plain text, json, RestApi, csv, xlsx 
From the soft skills: I'm a responsible, reliable team player, unconflicted, and always open to something new and not afraid of difficulties.
I'm a quick learner and I desperately wanna grow, so I'm looking for a project that can suit my ambitions and a team with whom I'd like to stick for 2 and more years
I'd like to work with GCP/AWS services, BiqQuery/Snowflake, python, pySpark
Also, I'd prefer propositions from Ivano-Frankivsk, because, after several years of working remotely from home, I'd like to have an opportunity to work from an office from time to time
Position: Data Engineer | Analytics Engineer
Category: Data Engineer
Experience: 3 years | English: upper

• Data Engineering Track certificate in DataCamp
• 84th top performer out of 2300 participants in the popular course on Machine Learning from ods.ai: mlcourse.ai
• Top-100 learner in educational platform stepik.org
• Top-30% in Leetcode contests ratings
• Several Math Olympiads during school time
Data Specialist who is interested in challenging data-driven tasks and looking for an experienced strong team with a culture to grow specialists and share knowledge. I am a fast learner who is ready to develop as a professional and effectively contribute to the company's development. 
Tech stack: Python, Apache Airflow, SQL, Google Data Studio.

Data Engineer | Feb 2022 – Present
• Maintained cloud-based DWHs, data solutions, storage platforms in Snowflake and AWS (Redshift, S3)
• Automated ETL pipelines and constructed DAGs making it easier and faster to fetch and deliver a data
• Increased complex pipeline execution speed by 4 times redesigning its load stage to take advantage of MPP in the Redshift
• Deployed custom connectors and sources on Airbyte which collect data from 3rd side APIs and websites
• Reduced the processing time of data parser script from 23-minutes to 2-minutes applying multithreading

BI Engineer | Feb 2021 – Nov 2021
• Built interactive visualizations, financial reports, tracking systems in Google Data Studio and Power BI
• Developed 4 new dashboards from scratch interacting with stakeholders and maintained 10+ dashboards in the collaboration with the team
• Implemented inventory management system based on ABC/XYZ analysis of clients, products, locations
• Documented the process of data preparation and dashboarding principles for an internal knowledge base
• Worked on descriptive analytics for different types of businesses such as sales, logistics, service, transport
Looking for an experienced strong team to join for long-term cooperation. I am ready to grow and learn becoming a more strong specialist. I expect mentoring from colleagues and possibilities to grow effectively as a professional. My expectations are: collaborative and supportive work environment, opportunities for continuous learning and professional development, and best practices and processes within the team/company.

Currently in Kazakhstan, Almaty. Open to remote/relocation.
Position: Data Engineer and Analyst
Category: Data Engineer
Experience: 3 years | English: upper


- 10 months (Tableau/Quicksight, SQL, Python, Apache Airflow, Amazon Redshift)
- 9 months of working as a data engineer(TT-SQL, Microsoft SQL Server, Python, Apache Airflow, Docker)
-  3 months (Python, Jupyter Notebook, Apache Spark, SQL, Matplotlib)
- 3 months retraining of data engineering, with Spark, Hadoop, Data Modeling etc.
- 9 months on the project as a backend python developer(Python, Flask, MySQL, Docker, Flask jwt extended, Boto3, logger, AWS(S3 bucket, Aurora DB), Git)
- 5 months of internship(Python, Flask, SQLAlchemy, PostgreSQL, Docker, MongoDB, Flask-Login, marshmallow, Git, PyTest, HTML/CSS , JS)
- Graduated in Computer Science in Ivan Franko National University of Lviv
Position: Data Engineer and Python/Django Developer
Category: Python
Experience: 2.5 years | English: fluent


Worked on building internal and automated reporting system using Django.
Built a web scraping bot using selenium to monitor currency exchange rates and created a data pipeline that records and stores the data on a database.
Looking to expand my knowledge beyond Python to a more robust Language precisely C++ for building embedded systems.
Position: Data Engineer/Architect
Category: Data Engineer
Experience: 11 years | English: fluent


I have over 10 years of Data related software development and Project Management experience in IT industry. For about 4 years, I have been working as a Team Lead and Architect on various data integration projects.
Mostly my experience is related to relational data. Data design and development. Building, managing, and collaborating teams. Covering architecture roles. Most of the projects I have been involved with were MS SQL based initially and now i have solid experience in ADF/Snowflake/AWS Redshift projects.
I have been taking a role of Technical Lead on several projects.  I am experienced in Agile (XP) methodology. Have vast knowledge in Scrum.
Position: Data engineer (Architect/Developer/DBA)
Category: SQL
Experience: 11 years | English: upper

I may explain "how it works" to the dev team. Yes, with examples.
As a DBA, I know how it should be, how it can be, and what the difference is. Yes, it's all about tradeoffs. And there are will be much more tradeoffs in case you want to scale your workload.
p.s.
Oh, there was a limit for the description's length. Ok, I fit it.
Position: data engineer (AWS)
Category: Data Engineer
Experience: 10 years | English: upper


- More than 10  years of experience in IT Industry , 3 in  Big data platforms having hands on experience in AWS Services

- Hands on experience on Data Analytics Services such as Athena, Glue Data Catalog 

-Performed the migration of ETLs from  premise Database  to AWS cloud using Athena, Kafka,Goden Gate  and Airflow,NIFI

- experience  of buildings ML projects with using XGboost , pandas and scikit learn

- Extract, transform and load the data from different formats like JSON, a Database, with using AWS Glue Spark

Hands on expertise with AWS Databases such as Redshift, DynamoDB 


Programming languages : Python ,SQL ,Pg/SQL
databases: Redshift , Dynamo,Oracle
AWS Services: S3,Athena,Glue,AWS lambda,  Step Function ,API getaway, Redshift ,Dynamo DB  ,
Others: Airflow ,NIFI ,Spark, Pandas, kafka,boto3,pandas,pyspark,aws wrangler
Looking for challenging projects where BIG data technology are used , opportunity for personal   grows