lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Engineer | Backend Engineer
Category: Java
Experience: 6 years | English: fluent


Over 6 years of experience in Software Engineering.
Over 2 years of experience in Data Engineering.

Interested in data processing and microservices. I enjoy working with data, pipelines, and various databases, at the same time I love building scalable and maintainable applications based on microservices. 

Skills: 
- SQL, Java, Python, JavaScript.
- Spark (Core, Streaming, SQL), Hadoop (HDFS, MapReduce) 
- Databases/Warehouses (PostgreSQL, MongoDB, Cassandra, ClickHouse, Apache Hive) 
- Kubernetes, Docker
- Spring Boot (Web, Data, Security), Reactive Programming (WebFlux), JPA
- Flask, SQLAlchemy
- Reactjs (Hooks API)
- gRPC, Protobuf, GraphQL, RESTful API
- Apache Kafka, Kafka Streams, Apache ZooKeeper, Schema Registry
- Apache Airflow, Apache NiFi
- Google Cloud Platform (Cloud storage, PubSub, Dataproc, Dataflow, Apache Beam, Cloud Run)
Position: Data Engineer/Backend Engineer
Category: Scala
Experience: 3 years | English: fluent


Java - 4 years 
Scala - 3 years

Spark Core/Streaming/SQL, Gatling
Docker, AWS, Linux
Projects in Scala, preferably big data, high load, cloud, microservices
Position: Data Engineer based in London and looking for the part-time role.
Category: Data Engineer
Experience: 3 years | English: fluent


Skilled Data Engineer based in London with 2.5 years of experience working for outsourcing and product companies. Currently looking only for part-time projects (20-30 hours per week) as a contractor, outside of the main job. I'm not ready to be a formal part of your team and communicate with your customers through. However, if you're a product company, ready to negotiate about things described above. Not considering direct contracts as a Ukrainian entrepreneur.
My skills are the following:
Building architecture for ingesting structured and unstructured data using Athena, Amazon Glue Jobs and EMR Serverless;
Step-Functions workflows to implement complicated business logic;
Lambda functions (monitoring, orchestration, file manipulating, data processing, analysis);
REST and GraphQL APIs, using AppSync or API Gateway;
Using PySpark for writing ETLs;
Working with different column/row-oriented file types;
Implementing software using OOD;
Creating test automation frameworks and monitoring components for the data solutions;
Using Prefect and Airflow as data pipelines orchestrators;
Have strong theoretical knowledge of DWH, OLAP and OLTP;
Writing scripts for ETLs;
Docker;
Gitlab;
I don't care about the size of the company, just want to solve complex and complicated business cases as a contractor using cutting-edge big data technologies without micro-management, legacy and useless corporate things. Not passionate about mentoring someone.
Position: Data engineer / BI
Category: SQL
Experience: 9 years | English: upper


I have more than 9 years of BI and data management experience in different domains: finance, sales, gas&oil industry.

Was working as team member as well as single bi developer on a project. 

Have experience in building and development large DWH  - ETL and visualization of data in the reports.

Technologies (sorted by experience): 
SQL, T-SQL, Power BI, SSRS, Python, Powershell, Databricks.
I interested in Сloud solutions, so it would be great to take part in projects related with that technologys.
Position: Data engineer/ BI analyst
Category: SQL
Experience: 0.5 years | English: upper

- Data analysis using SQL
- Data Modeling
- Building reports in Power BI
•	Experience of working with Excel, python3 and PostgreSQL/T-SQL (joins, subqueries, aggregates etc.)
•	I’m also familiar with SSIS
•	Basic knowledge of math statistics and Power BI
•	Languages: French, Polish, English
Ability to use my knowledge and develop my technical skills
Position: Data Engineer/BI Developer
Category: Data Engineer
Experience: 5 years | English: upper

Business Intelligence  - Epam Academy
6+ years experience as SQL/BI developer / Data Engineer 

(Healthcare/Banking/OpenERP/Advertising)

Skills: MS SQL, PostgreSQL, Pentaho Report Designer, Pentaho Integration Server, Google Cloud Platform, NoSQL, Hive, Power BI, Tableau, Git, ETL/ELT, Visual Studio, SSRS, Stimulsoft, Informática, Power Center.
Solid understanding of BI.
Basic knowledge of C#, C++, JavaScript, HTML, CSS.
Position: Data Engineer / BI Developer / FinOps
Category: Data Engineer
Experience: 10 years | English: upper

Created BI solution to track companies' KPI's from scratch.
I have experience in creating companies' Top and Middle management  BI Reporting and Data ecosystem from scratch.
Also I can help you setup regular reporting connected to you company valuation model or financial model. And then you and your management will be able to track performance, and act based on true actual information and company's goals.
I would like to create value  for the company by helping investors, C-level and management have a clear view of company in digits   and receive fare remuneration, including bonuses/stock options or profit share.
Position: Data Engineer/Bi Engineer
Category: Data Engineer
Experience: 4 years | English: fluent


• Experience in working with AWS (S3, Lambda, CloudWatch, Glue, Athena, Redshift, Quicksight )
• Experience using GSP
• Experience in working with Databricks (Spark)
• Development of ETL: Airflow, GCP scheduler
• Database design and implementation: Oracle, Bigquery
• SQL-tuning;
• ETL performance tuning;
• Development of Oracle PL/SQL procedures;
• Experience developing on Python(functional programming, OOP);
• Web page parsing using Selenium
• Experience using bash & PowerShell
• Experience using Linux
• Debugging
• Experience with Git
• Experience using Power Bi, Power Automate
• Troubleshooting, problem solving.
Position: Data Engineer | BI Engineer
Category: Data Engineer
Experience: 2 years | English: upper

- Collaborated with cross-functional teams to identify and resolve data-related issues, providing support and guidance on data engineering best practices. 
- Designed and implemented data validation and error handling mechanisms, including logging and metadata tracking, to ensure data quality and maintainability. 
- Conducted performance analysis and optimization of stored procedures and ETL processes to improve query execution times and overall system performance. 
- Implemented and maintained Power BI dataset refresh processes, ensuring timely and accurate availability of data for reporting and analytics purposes. 
- Assisted in the migration of historical data from Excel to the data warehouse, developing data pipelines and table structures to accommodate the new data sources. 
- Contributed to the creation of onboarding and technical documentation, facilitating knowledge transfer and team collaboration.
As BI engineer I worked on the next tasks:

- ETL/ELT processes development;
- DWH/Data lake development / Designing;
- Relational Database migration / Designing;
- Data Visualization / Reporting;
As a data engineer, I would like to be responsible for designing, developing, and maintaining the ETL processes. Also to be involved in developing and implementing data storage solutions, data quality assurance procedures, and data analysis tools. In addition, I also have a passion for other data-related tasks, such as data visualization, machine learning, or data analysis. 
Overall, I am interested in exploring new technologies and tools that can help optimize data workflows and improve performance. I am excited about the opportunity to contribute my skills and expertise to the field of data engineering and to work with a team of like-minded professionals.
Position: Data Engineer / Big Data engineer
Category: Data Science
Experience: 2.5 years | English: upper

Worked as Teaching Assistant on Object-Oriented Programming course.
Created scalable architecture for data scraping.
Moved mining system from crontab to airflow.
Moved Data to s3 bucket for easy access and visualization.
Oracle Java 8 Certificate - Associate
Python developer/ 1 year / remote
- Data mining
- Handling POST requests for saving data and  for REST API authentication
- Continuous Integration on Crontab,  Apache Airflow 
- Saved Data in AWS S3
- Created Schemas in AWS Glue
- Querying Data with AWS Athena
- Used H2O AI GUI for Machine Learning tasks

Data Engineer/ 2 Years / Startup Company
- Creation of ETL data pipelines
- Data extraction with python (beautiful soup, selenium, boto3)
- performed data mining tasks 
- Transformation with python + PostgreSQL
- Created architecture for efficient data storage
- Worked on query optimization for creating various views for analysis
- Used Python to visualize data (with Altair, Plot.ly)
- Had experience with Docker / other builders
I`m keen on data mining, process automation, engineering, and visualization. Hope to find a distinctive project with passionate, hard-working team and friendly environment.
Position: Data Engineer (BigData, ETL, DWH)
Category: Data Engineer
Experience: 7 years | English: upper


Software engineer with 5 years experience in Java development (mostly e-commerce) and about 2 years experience in Data Engineering using Scala and Spark. Current role on the project - key developer (data ingestion team).
Related skills: AWS (Certified), Databricks, Data Lake, SQL, Kafka, Cassandra, Hazelcast, Spring (Boot, Data, MVC, Test, Security, WebFlux), Akka, Splunk, Maven, Git, Jenkins.
English skills: speaking - B2, writing - B2.
Looking for a contract with product company to apply my java/scala and data engineering skills.
Position: Data Engineer / BI Tech Lead
Category: Data Engineer
Experience: 11 years | English: upper

Working on full life cycle of BI projects and their architecture.  
Working of Migration from SQL related technologies to BigData solutions.
Creating near real-time solution, based on SQL Server and SSAS Tabular.
Building CI/CD process for a project from scratch.
Building complex financial reporting, including deep analysis and business processes.
Working on Integration with marketing platforms: Google Ads, Facebook Ads, etc.
I have 11+ years of experience in developing database solutions, ETL processes, BI solutions and Reporting applications. I have a solid background in Big Data engineering, warehousing, data mining and complex reporting and planning systems. Very strong skills in analysis and planning of various data reporting applications as well as excellent knowledge of hardware and software needed to support such applications. I have good knowledge of SDLC and all of its stages.
Ideally Product company, ideally Ukrainian.
Ideally working on some cloud platform and maximum modern technologies. 

Project shouldn't be just to support current infrastructure, but develop something new, ideally helpful for people.

Can work as a Senior developer, but prefer to be a technical leader of the team, as I had such experience in successful project and can take such role.
Position: Data engineer, C# developer
Category: .NET
Experience: 1.5 years | English: pre


Improvements to current microservices related to card payments. Writing scripts to write files.
Position: Data Engineer/Cloud Data Engineer/Big Data Engineer/Oracle Apps DBA
Category: Data Engineer
Experience: 11 years | English: fluent

Confluent Certified Administrator for Apache Kafka
Microsoft Azure Fundamentals certification
DP-200: Implementing an Azure Data Solution (Data Engineer certificate)
DP-201: Designing an Azure Data Solution (Data Engineer certificate)
Microsoft Azure Data Engineer Associate
AWS Certified Cloud Practitioner
AWS Certified Data Analytics Specialty
Oracle Certified Associate DBA for Oracle 11g
Oracle Certified Professional DBA for Oracle 11g
Oracle Certified Professional DBA for Oracle 12C
Oracle E-Business Suite R12 Applications Database Administrator Certified Professional
Oracle WebLogic Server 12c Administrator Certified Associate
Oracle WebLogic Server 12c Administrator Certified Professional
Oracle Autonomous Database Cloud 2019 Certified Specialist
Over 12 years of Expert level Oracle, Big Data experience, Batch and Streaming system.

Over 12 years of Data Engineering with Oracle Databases, Data Warehouse, Big Data, and Batch/Real time streaming systems. Working on Cloud (Azure/AWS) and on-Premises Big Data/Hadoop Ecosystem/Data Warehouse, ETL, CI/CD and Visualization (Power BI, Tableau).
Personally love playing/watching football and swimming. DWH Methodologies: Inmon, Kimbal, Data Vault 2.0

Oracle Big Data Appliance, Cloudera, HBase, HDFS, YARN, Zookeeper, HUE, Hive, Spark, MapReduce, Impala, Apache Kafka, Confluent Kafka, Airflow, NIFI, Databricks, Delta Lake, Data Lake, Azure  Data Factory, Azure HDInsight

Cloud infrastructure setup/configure/support OCI, Azure, AWS, and GCP related to the DBA/BDA and Data engineering. 
CI/CD - Jenkins, Jira, Confluence, HP ALM, Docker
I'm looking for an interesting company in a good place. I would like to participate fast growing team.
Position: Data Engineer /  Dashboard Engineer / Report Engineer
Category: Data Engineer
Experience: 2 years | English: intermediate

Developed and maintained 80+ dashboards in Google Data Studio for a group of 10 companies.
I have experience in automation of routine processes, extraction,processing and visualization  of data from various services (Google Analytics, Hubspot, etc.)
Skilled in:
• Google BigQuery (1y)
• Google Data Studio (1y)
• Google Sheets (3y)
• SQL (1y)
• Python (Programming Language) (0.6y)
• JavaScript / Google App Script (2y)
Position: Data Engineer/ Data Analysis
Category: Data Engineer
Experience: 1 years | English: intermediate


I am a junior data engineer with proficiency in SQL, Python, and ETL tools like Apache Airflow. I have
experience working with data warehousing and data modeling concepts. Additionally, I have experience
with data visualization tools like Tableau and PowerBI. I am currently workeing on developing ETL
pipelines using Apache Airflow to automate data extraction, transformation, and loading. I am eager to
learn new technologies and techniques in data engineering to contribute to the success of the
organization. I am a quick learner, a strong problem-solver, and a team player who is able to work
collaboratively with other members of the team to achieve shared goals.
Position: Data Engineer & Data Analyst
Category: Data Engineer
Experience: 1.5 years | English: upper


Experience : 
  
1. Data Warehouse Engineer in banking industry  ( fulltime )
 
    Since  september 2021 , I have been working as a Data engineer in the banking sector
 that also includes reporting , data analysis and BI tool support. I have enough experience 
 with Oracle database and
 within almost 1.5 year I have been a part of Data Management team and contributed a robust DWH of the bank. In order to
 provide ETL processing , Apache Airflow is the main tool I use.  One of my daily responsibilities contains Microstrategy BI tool support which includes satisfying 
 user requests and shaping a semantic layer behind BI processes. 
   I leverage high-level SQL  ,PL/SQL and python skills that enables me to automate repetitive tasks ,to write 
 complex ,high-speed reporting queries and to delivery demanded requests within shorter period of time.

2.  Data Warehouse Engineer in the Ministry of Science and Education of Azerbaijan (Remote/freelancer )

    Starting from August 2022 , I have been a part of this project as a middle data engineer . The project contains :
1 .  contributing an existing Data Warehouse :
2 .  integrating new data sources into DWH ;  
3 .  assuring data quality ;
4 .  Providing requested data by Reporting team ;
5 .  Establishing and monitoring ETL processes  and so on.


Skills :

Programming languages :T- SQL, Oracle SQL  , PL/SQL,  Python 
Databases : Oracle ,Sql Server 
Tools : SSIS , Git/Github , Apache Airflow , Microstrategy (BI tool) , Power BI 
Others : ETL ,DWH concepts , Data Modelling ,Data Cleansing .
Position: Data Engineer / Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper

•	Completion course “Программирование на Python” (by Bioinformatics Institute, Stepik), November, 2019
•	Completion course “Data Analysis: інтенсив для початківці” (by Ciklum), June, 2019
•	Participant of the Ukrainian students’ academic competition on Economic Cybernetics, April 24-26, 2019
•	Completion of English Language Dynamics Course by Michael Gott International, February, 2019
•	Taking part in National research and practical conference on “Innovative banking technologies and modern forms of money”, 2018
•	Successfully completion of a General English Course at Upper-Intermediate level (English Language School – “SpeakWell”), January 2017
Company: Multi-brand retailer in Canada
Duration: Dec 2022 – up to present
Role: Data Analyst/Engineer
Responsibilities:
1. Using AWS(Athena, jobs); 
2. Working on migration deprecated reports system to new architectural framework in the company;
3. Rewriting Python/MS SQL scripts for reports to tables/views in Athena;
4. Working with CI/CD tool – GitHub;
4. Building and improving dashboards in Tableau;
5. Direct communications with the stakeholders. 

Company: One of the largest U.S. distributors of medical devices
Duration: Aug 2021 – Dec 2022
Role: Data Engineer
Responsibilities:
1. Working with Cloud platforms (AWS);
2. Building ETL pipeline using AWS Glue workflows, triggers, and crawlers;
3. Writing complex SQL queries (Presto);
4. Reporting into Tableau with dashboards based on data;
5. Performing initial data investigation, transformation and exploratory analysis;
6. Using Python to manipulate SQL databases and data analysis. Data Analyst in ML engineering team.
Role: Data Analyst
Responsibilities:
1. Working on preprocessing, labeling data;
2. Development of graphical user interfaces for data analysis using Python patterns and Tkinter package;
3. Familiar with Python parallelism and GIL; working with multiprocessing, multithreading libraries;
4. Familiar with ML clustering algorithms and dimensionality reduction approaches.

Company: Ukrainian microfinance organization, Kyiv, Ukraine
Duration: Mar 2020 - Aug 2021
Role: Data Analyst
Responsibilities:
1. Automating regular reports in Grafana;
2. Writing SQL scripts for unloading the necessary data;
3. Data analysis, search for statistical relationships (PostgreSQL + Pandas);
4. Data visualization - graphics in Excel, Pandas, Tableau;
5. Economic analysis of clients profitability;
6. Create new rules for check information about clients.
Position: Data Engineer / Data Analyst
Category: Data Engineer
Experience: 11 years | English: upper


- Data Lakehouse design and implementation with a medallion architecture (bronze, silver, gold layers) using meta-data driven orchestration (Azure SQL/Synapse, Data Factory, Storage)
- Data Warehouse design and implementation, modeling and integration with Power BI on hybrid environment (Azure and on-prem SQL, Data Factory, various API)
- Data interfaces for Dynamics 365 
- Database versioning with Redgate Flyway
- Tableau sources integration with Hyper API
Part-time remote job
Position: Data Engineer / Data Analyst
Category: Data Engineer
Experience: 2 years | English: fluent


Hey! :)
I'm a data engineering and data analysis enthusiast, with almost 2 years of commercial experience. Besides that, during the past 4 years of my university studies I have worked on plenty of educational projects, which helped me to develop the key skills for working with data. 
I'm still advancing my knowledge by developing personal projects and learning more about data engineering technologies and tools, which we can discuss as well!

Commercial projects:
Data Warehouse Engineer / BI Engineer
* Developing AWS QuickSight visualization dashboards and
analysis reports for delivering analytics and insights to the end
user;
* Built Python scripts for more automated deployments and
migration of the QuickSight dashboards across multiple working
environments;
* Achieved significant improvements with the dashboards
deployment duration and reduction of manual steps involved;
* Features investigation, technical documentation writing and
team training.

Educational projects:
Bachelor Thesis Project at Ukrainian Catholic University
* Built ETL/ELT pipelines for creating a comprehensive dataset of
Ukrainian news articles for modelling and analysis;
* The pipelines worked with data from parsed news articles and the
Rest API for more detailed features retrieval;
* Was able to apply classical NLP approaches to analyse the textual
data — clustering and text summarisation.

Movies Analysis Project (Completed as a part of the Programming course at Ukrainian Catholic University)
* Built an ETL pipeline for the IMDB dataset containing the
information on all the movies existing in the IMDB resource;
* Optimized the transformation process and was able to reduce the
time taking to load in the data;
* Created an insightful report, which included statistics on movies
from the IMDB dataset.
Position: Data Engineer / Data Analyst
Category: Data Engineer
Experience: 0 years | English: intermediate

I`ve also finished next course and got skills:
1.OOP Java Core (SoftServe IT Academy)
Java SE, OOP, Fundamentals, Classes, Collections, Threads, JDBC , Error & Exceptions, I/O
2. Java Enterpise (Hillel School):
Servlet, Java EE, Spring Core, Spring MVC, Spring Data, Spring Security
3. QA Manul (Hillel School)
Trainee Data Engineer
(EPAM Systems, August 2022 - November 2022)
• Used Hive SQL, including internal / external tables, partitions, buckets and different types of joins;
• Get acquainted with Spark RDD and DataFrame structures;
• Worked with streaming data using Kafka and Spark Structured Streaming;
• Converted data to different formats with Spark;
• Transferred data to Kafka using Spark Streaming;
Position: Data Engineer | Data Analyst
Category: Data Engineer
Experience: 3 years | English: fluent

I was doing three USA Data Engineering Projects successfully with my teammates, which focused on Pure Data Engineering Projects
--Collecting Various Types of Data from Different Sources, Transforming, and Loading to Data Warehouses
--building data pipelines to ingest, transform, and load the data into data warehouses using Azure Data Factory, Python, and Talend.
--visualizing data based on the nature of the data and the respective chart type to get insights easily for the customers.
creating and publishing dashboards and reports in various data visualization tools.

Tools that i have used so far: 
Power BI,Azure,Azure Data Factory,Azure SQL,Snowflake,Python,SQL Server,SSRS,SSIS,SSAS,DBT,Excel and PostgreSQL
Position: Data Engineer, Data Analyst
Category: Data Engineer
Experience: 4 years | English: upper


I have 4 years of experience working with large sets of data (databases - Oracle, PostgreSQL, MySQL, MongoDB) using Python and its libraries such as pandas, NumPy, Matplotlib, PySpark. I'm familiar with data warehouse architecture and ETL patterns. Also have working experience in Web3.