lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Engineer
Category: Python
Experience: 4 years | English: upper


Python Developer and Data Engineer.
Have experience in different ETL projects:
- Apache Airflow;
- Scrapy;
- Playwright;
- Zyte;

Data Science and ML:
- Pandas;
- numpy;
- visualization(matplotlib, plotnine, pygal, plotly);
- sklearn;
- Time Series Analysis and Forecasting;
- Computer vision(object detection).

Clouds:
- AWS(Batch, Lambda, Cloudwatch, Secrets Manager, System Manager, DynamoDB, S3);
- GCP(Google Cloud Dataproc, Cloud Storage).

Databases:
- PostgreSQL;
- SQLite.
Position: Data Engineer
Category: Data Engineer
Experience: 1.5 years | English: upper


Python Developer:
Improving Python ETL pipelines, working with S3, Databricks, and PostgreSQL.
Redesigned Cassandra's data model to speed up users’ requests and improved DialogFlow agents for the
chatbot.
Added FBProphet model as an addition to the existing one to highlight prices trend and predict future prices of
assets. 

 Software Engineer:
Responsibilities: Design, build, and maintain efficient and reliable C++ code of cross-platform desktop
applications. Changing engine pipeline, supporting new and existing modules, working with
multithreading.
Python, Data Engineering, Big Data Engineering, AWS, GCP, Airflow, Databricks, SQL.
Position: Data Engineer
Category: Python
Experience: 2 years | English: upper

Positive feedbacks from colleagues and mentors. 
Motivated to work towards results. 
Quick learner.
Python QA automation (4+ years).
Student of Master Degree Program (Software Engineer).

EPAM Big Data Master program graduation.
Study project on building ETL pipeline (DataBricks, PySpark, Spark SQL).
Study project on machine learning (Scikit-learn).
Want to switch to from QA Automation to development, DS, ML.
Position: Data Engineer
Category: Python
Experience: 0 years | English: 

recommender system for a big startup, computer vision subsystem to improve user experience
python, recsys, celery, puppet, opencv, computer vision, Rstats, hadoop, mongodb, nosql, solr, data mining, tableau
more data, more smart people :)
Position: Data Engineer
Category: Python
Experience: 3 years | English: upper


Querying and formatting data using SQL Server, Big query or Athena. Formatting data using Python, SQL or spreadsheets/Excel.
Creating dashboards in Power Bi. 

I have a high level of analytical skills and logical thinking. Can easily master new technologies.
Highly motivated for study and hard working.
Position: Data Engineer
Category: Data Engineer
Experience: 1 years | English: upper


Research And Development Engineer
- Installed 10 V-sat sites that provide internet connectivity for people in rural areas.
- Built python script that automates the supply chain of the cards and shortens the consumed time from 4-8 hours to 4 min per month.
- Installed more than 10 solar systems in the rural areas in order to provide stable and clean
energy for our site.
- Built BI reports for the site monitoring .
Position: Data Engineer
Category: Data Engineer
Experience: 2 years | English: upper

AWS Certified Solutions Architect - Associate
Responsibilities:
• Develop data pipelines with low-code platform (analogue of AWS 
Glue Databrew), PySpark
• ETL processes optimization
• Ingest data from various sources (flat files, s3, relational db)
• Build data catalog with AWS Glue Crawlers, Glue Data Catalog
• Processing data with AWS Glue
• Define infrastructure with CloudFormation templates
• Maintain Tableau dashboards
Position: Data Engineer
Category: Data Engineer
Experience: 6 years | English: upper


Roles I've worked as: Data Engineer, Python Data Engineer, Power BI developer

Industries I've worked for: Retail, Media & Entertainment, Insurance, FinTech, Legal Tech

Languages: SQL, Python

Databases: Snowflake, PostgreSQL, Redshift, Azure SQL etc.

ETL Tools: Airflow, dbt, Talend, SSIS

Reporting tools: Power BI

Cloud: AWS, Azure, Google

Typical task could look like:
- Designing Data Warehouse, Data Lake, OTLP DB
- Designing, implementing, testing and deploying ETL jobs
- Validating data integrity and consistency
- Reporting implementation and automatization
Not interested in: DB administration

Consider only remote positions and B2B collaboration (as Portuguese PE). I don't have Ukrainian FOP (PE).
Position: Data Engineer
Category: Data Engineer
Experience: 5 years | English: upper

Two-time winner of the All-Ukrainian Mathematical Olympiad.
Roles: ML Engineer, Big Data Engineer, Data Science Engineer.
Worked in a tight collaboration with data scientists and stakeholders, in cross-functional and global teams.

Industries: telecommunications, retail, fintech, transportation, automotive.

Languages: Python, Java, Kotlin. 

Key technologies: AWS, Vertex AI, Azure Databricks, Apache Spark, Apache Hadoop, Apache Kafka.

Familiar with ML approaches and algorithms.

Mentored a team of 2 students, Big Data course.
Position: Data Engineer
Category: SQL
Experience: 1 years | English: upper


R,  Python, SQL
Reporting systems (Spotfire, Tableau, Power BI)
ETL piplines creating and setting up
Ability to grow as professional
High rate of salary
Position: Data Engineer
Category: SQL
Experience: 8 years | English: intermediate


R-Style Softlab Kiev LLC July 2016 — March 2022
Chief Specialist of the Analytical Systems Department
Responsibilities:
implementation and maintenance of an information and analytical system for building a
centralized corporate data warehouse, in particular, the implementation of modifications
to customer requirements that are not included in the distribution kit, development of
management reporting, development of technical documentation, overseeing the support
group.
Projects:
HamkorBank (Uzbekistan) - building management reporting (Qlik Sense);
BelAgroPromBank (Belarus) - support of the storage facility in trial operation,
development of IFRS (PL / SQL) reporting.
BelAgroPromBank (Belarus) - development of procedures for checking the quality of loaded
data, setting up mappings for loading data (Informatica Power Center), building IFRS
reporting (including using vba excel macros).
Position: Data Engineer
Category: Data Engineer
Experience: 10 years | English: upper

* Process automation / monitoring
* Team building / merging
SAFe Scrum Master, Team/Tech Lead
* Customer communications (technical questions).
* Technical analysis / software design / DB design / detailed design description
* Code review / automated tests creation
* New features development / change requests implementing / bug fixing / optimization and performance enhancement
* Source code branch integration
* Team management / team merge
* Progress reporting / time estimation

10 years in NDS Navigation Maps continuous delivery.
* Geospatial ETL (GTL) process development and support.
* Geographic and map data analysis, visualization, transforming for GIS.
* R&D of various data sources for SD and HD Navigation purposes.
* Automation

Tools and Technologies:
• Java, Python, 
• SOLID, OOD, Agile methodologies.
• SQL - PostgreSQL, PostGIS, SQLite
• JTS, OpenJUMP, ArcGIS, GlobalMapper, KML, OSM
• CI (Jenkins)
Position: Data Engineer
Category: Python
Experience: 0.5 years | English: upper


SAS LOGISTIC — WARSAW, POLAND. 2020-PERSENT DAY
SALES MANAGER :
Prospecting and interacting with potential and existing clients to secure sales of company
products and services
Conducting negotiations with clients to identify their needs and requirements
Developing and implementing sales strategies to increase sales volume and expand the
client base
Creating and maintaining a client database to ensure effective sales management and
reporting
Preparing reports on sales, market analysis, and competitor activity to aid decision-making
regarding sales strategy

JSC "ZAMOZHNE MILK TRADE" - ZHYTOMYR, UKRAINE. — 2015-2020
I worked at a dairy processing company where I headed the sales department and created
a complete inventory system for raw material procurement, usage, inventory, production
forecasting, procurement, and sales using Excel.
My main responsibilities included:
Developing and implementing a system for tracking raw material procurement, usage,
inventory, production forecasting, procurement, and sales.
Organizing and monitoring sales activities, ensuring high-quality and timely delivery.
Analyzing data on sales volume, expenses, margins, and other factors affecting production
and sales efficiency.
Planning and coordinating raw material procurement, ensuring quality and timely delivery
to the company.
I am proud of my achievements in this position and believe that my experience can be
beneficial to a Your company I wish to join
Position: Data Engineer
Category: Data Engineer
Experience: 2 years | English: upper

Built data processing pipeline for mobile app analytics "from scratch".
Self-driven Data Engineer qualified in building end-to-end data processing pipelines. Proficient with  "from scratch" implementation of small and medium-scale managed workflows and actively contributed to developing large-scale systems with multiple automated and manual input sources. Experienced in the optimisation of data processing & data warehousing techniques. 

My background include 2+ years on healthcare industry project. 
Main expertise:
- Build end-to-end managed workflows with Airflow;
- Create and maintain different scale pipelines for data processing on Python and Scala;
- Implement cloud-based solutions for automation of data collection and warehousing using AWS Lambda, AWS S3 and AWS Redshift;
- Adjust ETL & ELT processes according to the needs of analysts;
- Create and optimise Spark jobs for processing large amounts of data using AWS EMR;
- Collect and shape structured data with PostgreSQL and Alembic according to business needs.
Looking for a project to utilize my knowledge and desire to build and make things data-driven. 
Nice to have: possibility to work with ML.
Position: Data Engineer
Category: Data Analyst
Experience: 5 years | English: fluent


Senior Business Intelligence Consultant, Paladin Bilisim Hungary 2022-
POC implementation covers a complete assessment of the client’s data with the goal of understanding the primary business requirements
Ingesting data from different sources, design a data model and create awesome insights using PowerBI and Microstrategy

Senior Business Intelligence and Reporting Specialist,
 Assicurazioni Generali S.p.A Turkey 2020-2022
Understanding of business requirements
Designing Etl process with SSIS
Designing reports that display insurance KPI's on SSRS, PowerBI and TIBCO Spotfire

Doga Insurance 2019-2020
Understanding of user data requirements, analysis of source data and designing data models to support analytic reporting.
Designing an ETL process with SSIS.
Designing reports and dashboards that display insurance KPIs such as Average cost per claim, Policy sales growth (%), Loss ratio on IBM Cognos

Obase  2014-17
Creating Microstrategy BI application reports and dashboards. And managed Microstrategy System Administration tasks many sectors such as telecommunications, textiles, insurance
Turkcell (IBM Cognos to Mstr Transfer Project) 

Data Science Earth" is a volunteer community - Insurance research working group leader 2020-
The working group conducts data science studies in insurance with public data sets and works with Python using Numpy, Pandas, Seaborn, Matplotlib, ScikitLearn, Keras libraries.
Safe Driver Prediction: Aimed to detect if the driver is reliable based on certain attributes using the 'Safe Driver Prediction' dataset using classification algorithms. 

Eötvös Loránd University Data Science Msc projects are
Projects Credit Scoring Project : Created a Predictive model which can tell us approve a loan application or not using Classification algorithms (DecisionTree, RandomForest, Support Vector Machine, KNearestNeighbors), and clustering algorithms(KMeans, Hierarchical)
Anomaly Detection in Securing Water Treatment System: Detected anomalies in the SwAT water treatment dataset using SVM, KNN, DBSCAN. 
Emotion Recognition: Built and trained a multimodal deep neural network for emotion detection using tf.keras. (Vgg16, Resnet50)
Position: Data Engineer
Category: Data Science
Experience: 7 years | English: fluent

Built terabyte scale data pipelines
Senior Software Engineer with 5+ years of experience in building trading applications and data pipelines, tackling challenging architectural and scalability problems in Finance. Recently helped COMTEX with Terabyte scale data pipelines.
- Collected 8 years of experience working as a software engineer
- Experienced in working with a variety of clients and deadlines
- Managed and led a team of skilled software engineers
- Maintained a remote work role for 3 years
I am interested in small team and startup projects.
Position: Data Engineer
Category: Data Engineer
Experience: 11 years | English: fluent


skilled data engineer with more than 10 years of commercial experience, including projects in automotive (maps assembly, location insights choice for electric vehicles stations), marketing (mobile attribution, ads extraction + analysis, search analytics) and telecom domains.
Position: Data Engineer
Category: Data Engineer
Experience: 2.5 years | English: upper


Skills:
- Languages: Bash, Python, HiveQL, PL/SQL, Scala (Spark)
- ETL-orchestrators: Jenkins, Airflow, Streamsets, Tidal Automation
- RDBMS: Postgres, MySQL, Oracle
- Hadoop ecosystem: Hive, Impala, Kudu, Sqoop, HDFS, YARN
- Snowflake
- Kafka, Zookeeper
- Spark
- a little bit of AWS: DynamoDB, S3, Athena
- git/svn
- Tableau

Work experience:
Data Integration Engineer
GameDev Company // Nov 2021 - present
- maintaining DWH & ETL processes (up to 2 petabytes of data daily)
- integrating data from Kafka, databases, and APIs to Hadoop/Snowflake
- query tuning & optimizing jobs (up to 10x faster)
- creating internal tools for metadata collection

Data Analyst
Startup - Mobile Apps // Dec 2020 - Nov 2021
- optimizing and maintaining internal BI system using python and Apache Airflow
- working with databases (PostgreSQL, DynamoDB)
- creating forecasting algorithms and improving the accuracy of the existing ones
- preparing analytical reports (Tableau)
- conducting researches

Education:
Master's Degree (currently pursuing) - University of Vienna, Faculty of Computer Science
Bachelor's Degree - Taras Shevchenko National University of Kyiv, Faculty of Computer Science and Cybernetics
- preferably startup/product
- diversity of data-tools
- flexible work schedule
Position: Data Engineer
Category: Data Engineer
Experience: 1 years | English: upper


SoftServe - Junior Data Engineer - January - October 2022 

Web and mobile appication for managing security system
Project Description: Project is a Web and mobile application for managing, tracking, and supporting of security systems, maintaining user roles, and permissions for large businesses. App is being assed by external AKQA team, and based on that we have a brand new development stage using GCP.
Client is a US nationwide company that offers home security monitoring, equipment and installation services. It is recognized as the nation’s premier full service security provider, offering security services to residential, business, national account, and integrated system customers including professional installation, a high level of ongoing customer service and company owned monitoring centers to ensure a rapid response. 
Customer: US company
Involvement Duration: 9 months
Project Role: Junior Data Engineer
Responsibilities: 
Bug fixing
Migration data from SQL Server to BigQuery
SSRS report deployment
Perfomance/data usage refactoring
Project Team Size: 14 team member
Tools & Technologies: MSSQL Server, Visual Studio, GCP, SSRS, Scrum , Sourcetree.


SoftServe IT Academy – Data Engineer Internship(LV-663 DB) – December 2021-January 2022 

    Internet shop database 
Project Description:    SQL Server Database for project. Development with more emphasis on database 
design. Development of features including transactions, stored procedure, functions, triggers 
for consistent product quantity, dynamic product rating based on reviews etc. 
Customer:    SoftServe IT Academy
Involvement Duration:    2 months
Project Role:    Data Engineer
Responsibilities:    Requirements analysis and clarification; 
Database design; 
Database development and deployment script 
Project Team Size:    5 team members
Tools & Technologies:    SQL Server, SQL Server Management Studio

SoftServe IT Academy – Service Engineer (LV-637 SE) September-December 2021
Position: Data Engineer
Category: Data Engineer
Experience: 11 years | English: upper


Software Developer with more than 15 years of experience designing, implementing, and supporting software solutions.
 
• Design and development of OLAP, OLTP systems.
• Data migration from on-prem systems to the cloud
• Design/development ELT/ETL processes
• Enterprise datawarehouse design/development
• Data harmonization, normalization and integration

• Azure Data Factory
• Azure Sql Database 
• Azure Data Lake Storage
• Azure Synapse Analytics
• Databricks
• Delta Lake 
• Oracle
• PL/SQL
• MS SQL Server
• T-SQL
• SSRS
• SSIS
Position: Data Engineer
Category: Data Engineer
Experience: 4 years | English: upper


Software developer working as data engineer implementing both streaming and batch data processing with Spark, Kafka, Airflow. Have experience with Elasticsearch as core search engine on big eCommerce project.
Position: Data Engineer
Category: Data Engineer
Experience: 1 years | English: upper


Software Engineer, inspired by developing in IT industry, and coming with a strong background in industrial engineering, product design and project management.
Experienced in elaborating product strategies, developing project procedures for automation and testing, and team management, I also have a master’s degree in industrial management with an orientation to market research and user experience analysis, and a PhD in industrial engineering where I elaborated an own Product Design Methodology for a smart orthosis – both, hardware, and software parts. 
The ability to adapt and fast learn allowed me to access execution positions in different projects through which I acquired significant knowledge of product management, risk management, quality assurance, best practices for developing and implementing procedures for optimizing internal processes and achieving specific organizational objectives.
Position: Data Engineer
Category: Data Engineer
Experience: 8 years | English: upper


Software engineer with 8+ years of experience in the IT and Big Data world. Participated in many projects with different technical stacks (Java, Scala, Big Data & ETL) and business domain areas (e-commerce, agriculture, telecommunication e.t). As an engineer, I am always trying to keep a balance between tools and business needs. Believe in Scrum and teamwork. Musician.
Looking for an opportunity in a product company that can move our world forward. Maybe something that relates to the health care domain with AI/ML. No gambling products. Wants to work in the office with people together.
Position: Data Engineer
Category: Data Engineer
Experience: 5 years | English: fluent

Developed and delivered a system that notifies a marketing team about incorrectly created or modified user segments.

Created a dashboard that shows real-time ETL job statistics and saves time by not gathering that information manually.

Developed and delivered an automated ETL pipeline that pulls data from a third data source, transforms it according to the marketing team's requirements, and uploads it to BI.

Developed and delivered a report automation system that generates reports for specific requirements and sends them to the marketing team email on a schedule.
Software Engineer with over 5 years of industry experience, including 4 years dedicated to data engineering. Proficient in developing and maintaining ETL pipelines, creating data migration tools for seamless infrastructure transitions, crafting Airflow DAGs, and populating different databases using third-party APIs and data sources while leveraging expertise in data engineering best practices.
I'm open to any suggestions, but the main thing for me is the opportunity to grow as an engineer.
Position: Data Engineer
Category: Data Engineer
Experience: 10 years | English: upper

Experience in working in the USA and Europe-based companies for a long term.
Created different ETL processes.
Working on SQL performance queries.
SQL query coding skills. 
Experiences in Qlikview and python.
Snowflake.
AWS Developer Certificated.
Experiences in data warehouse integration processes (ETL) and use various tools to perform a board range of data migration tasks. 
Able to do comprehensive reporting for a variety of data sources to meet various business needs.
Understanding of OLTP and OLAP.
Strong data analyzing, processing, validating and reporting skills. Proficient in developing, manipulating and testing data in the database according to the business requirements. 
Familiar with various businesses and financial related terms and concepts.
Position: Data Engineer
Category: Data Engineer
Experience: 4 years | English: intermediate


Stack: Apache NiFi, IBM DataStage, SQL (PostgreSQL, Sybase IQ/ASE, Oracle, MSSQL), MinIO, AWS S3, Docker, Kafka, Linux, Trino (Presto), Apache Airflow, Python, PySpark, Hadoop, Hive, SSIS, Microsoft Office (Excel, PowerPoint, Access).

As Data Engineer (2+ y of exp):
Development of new ETL/ELT pipelines: uploading terabytes of data to DWH and Data Lake.
Development of data marts, procedures, functions.
Migration of existing ETL/ELT pipelines from to open source solution: code refactoring, performance improvement and optimization.
Development of core flows, which decreased the time to build similar ETL/ELT pipelines for uploading to Data Lake and DWH.
Performing PoCs and implementation of new tools & environments.

As Data Analyst (2+ y of exp):
Aggregation of the credit portfolio data from different systems.
Development and maintenance of credit portfolio data marts.
Analysis and dividing of credit portfolio by different segments.
Analysis of credit portfolio collateral property.
Calculating loans priority considering the loan segments, making of a distribution of credit portfolio among the collectors.
Building and automation regulatory and business reports, creating presentations.
Forming portfolios to provide Debt Sale deals, making portfolio applications for the Credit Committee.
Ensuring data quality.
I like complex and varied tasks and I'm sure that this is the most effective way to develop professionally and achieve success in getting new skills and learning new tools. I believe that I will be useful and able to use my existing and future knowledge in data engineering in projects that socially matter.