lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Engineer, Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper

As a academic, I can mention PhD in Information technologies, over 30 papers in peer-reviewed journals, participation in large European research projects

However I would say, that my main achievements are the ability to learn, to see the overall picture or patterns in a set of separate fragments, to find a non-standard point of view at the problem
Over 10 years of experience of work with data related to social systems and science as a very special system (publication data, temporal logs, downloading statistics, etc). 

Participated in 3 international research FP7 projects (precessor of  Horizon programs). Was a mamber of a core team responsible for writing and submitting 4 proposals for Horizon 2020 - research programs by EC

Experience of teaching and supervising at the university

Great experience in oral presentations and data visualization (in particular using complex netwoks framework)

My background is related to computer technologies in publishing - therefore, I am familiar also with design principles, color theory etc.
I would love to work with data and data visualization. Remote or part-time position is perfect for me, but I can consider also full-time job at office in Lviv - if this means an active work in a good team.
Position: Data Engineer/ Data Analyst
Category: Data Engineer
Experience: 5 years | English: intermediate


I worked at Ministry of finance as mid economist about 1 year.
Then I moved to State Revenue Committee and worked there as
leading statistical specialist about 2 years. Here I used tools like Eviews and Stata, and also had a little project in ML (classification algorithms, DT and RF).
Currently I am working in Questrade Inc. company as Data Engineer/ Data Analyst and using the related tools like T-SQL,SSRS,MySQL,BigQuery, PowerBI,Python.
I have an experience of using Jira board and Git repository
Position: Data Engineer/Data Analyst
Category: Data Engineer
Experience: 3 years | English: intermediate


Data Analyst (financial/healthcare domain) 07/2021 - Present
Data Modeling;
Looker Modelling;
Communication/collaboration with stakeholders;
Documentation maintenance/keeping up to date;

Analyst (supplies domain) 09/2017 - 07/2021
Visiting retail outlets;
Сontrol of product representation and equipment availability;
Presentations for customers, setting goals, and holding meetings;
Collaboration with distributors on an assortment; 
Research on Competitors and Marketing Analysis; 
Control from a policy perspective;
Managing a small team;
Research of premises and control of existing ones;
I want to have a modern data environment to enhance my skills and continue practicing w/ different data concepts. Would be cool to have a some kind of mentor.
Position: Data Engineer/Data Analyst
Category: Data Analyst
Experience: 3 years | English: intermediate


I have 3.5 years in Data Analytics/Data Engineering.
I am located in Lyon, France now.
But I am going to change some another country for life to autumn.

My main tasks at work were:
- AB tests, analysis and conclusions
- Segmentation of customers and products. RFM / ABC analysis.
- statistical evaluation of tests (P value)
- dashboards on the main metrics of the company such as: Retention, ARPU, MAU, DAU, cohort analysis
- analysis of the company's shares
- Automation of ETL processes using R/Python.
- Working with databases: Maria DB, MySQL, BigQuery: window functions, nested queries, subqueries.
- Automation of reporting and distribution of messages about changes in key metrics using RMarkdown
- Working with Git to track code versioning
- creation of virtual machines in Azure DevOps.
- worked with Docker to test production services locally

Main Tech Skills: 
- Python (pandas, numpy, pyarrow, pysftp, matplotlib, seaborn)
- R (data.table, tidyverse, lubridate, purrr, ggplot2, stringi, RMarkdown, RShiny)
- PowerBI
- Data Studio
- SQL(MySQL, MariaDB, BigQuery)
- Microsoft Office
- Git
- Basic Docker
- PySpark
- Databricks
Without overtimes.
Position: Data Engineer/ Data analyst/ BI Developer
Category: Data Engineer
Experience: 6 years | English: fluent


Data Engineer with SQL, Python, GCP and Snowflake hands-on experience.
Key competencies: 
- modeling and development of data lakes and data warehouses
- batch and streaming code-based ETL/ELT pipelines
- data quality and reconciliation automation
- development and deployment of BI solutions
Position: Data Engineer / Data Analyst / BI Developer
Category: Python
Experience: 1.5 years | English: upper


Recently Completed Projects:


1. Report Building | December 2022 - February 2023
Description: The project's main goal was to build and update Tableau dashboards. The main responsibility was to create a couple of dashboards using data that represents employees' activities and occupations.
Environments: Tableau
Position: BI Developer
Activities:
• Employee activities analysis
• Fixing bugs
• Report building


2. Computer Vision Accelerator | October 2022
Description: The project's main goal was to create and support a Computer Vision system. It should recognize objects in a photo and label them. The solution included a web application, which was built using Python and PostgreSQL, and also some of the AWS services were used for storing data and ML.
Languages: Python, PostgreSQL
Environments: pgAdmin, VS Code
Position: Software Developer
Activities:
• Back-end development
• Fixing bugs


3. Drools Development  | July 2022 – September 2022
Description: The project aimed to improve the existing system of processing business data. The client had a list of rules according to which transaction files were validated. My task was to create new rules in compliance with the received instructions and update some of the existing rules in case of outdated instructions.
Languages: Drools
Environments: MS SQL Server, VS Code
Position: Software Developer
Activities:
• Creating and testing drools
• Fixing bugs


4. Data Engineering (internship) | January 2022 – April 2022
Description: Course for those who planned to start their career as a Data Engineer. I was learning such technologies as Hadoop, Spark, MapReduce, Airflow, AWS (Lambda, S3), GCP (Cloud Function, PubSub, BigQuery). 
Languages: Python
Environments: MS SQL Server, VS Code
Position: Trainee Data Engineer
Activities:
• Learning theory
• Building pipelines
Position: Data Engineer/Data Analyst/Data Modeller
Category: Data Engineer
Experience: 2 years | English: intermediate


Data Engineer/Data Analyst/Data Modeller (financial/healthcare domain) 07/2021 - Present
Data Modeling;
Looker Modelling;
Communication/collaboration with stakeholders;
Documentation maintenance/keeping up to date;

Analyst (supplies domain) 09/2017 - 07/2021
Visiting retail outlets;
Сontrol of product representation and equipment availability;
Presentations for customers, setting goals, and holding meetings;
Collaboration with distributors on an assortment; 
Research on Competitors and Marketing Analysis; 
Control from a policy perspective;
Managing a small team;
Research of premises and control of existing ones;
Position: Data engineer / Data architect
Category: Data Engineer
Experience: 8 years | English: upper

Started and designed several projects as a data architect. 
Leading team of data engineers including discussion with business analytics and customers.
Data Engineer / Data Architect with solid experience in Big data 
and cloud technologies.
Have experience in presenting and delivering projects from scratch beginning from the PoC stage to the production deployment and support.
4+ years of experience in Data Engineering, Data architecture.
3 years of experience as a Java backend/full-stack engineer 
Latest projects related to Big data:
Design and start additional subprojects related to near real-time data processing. 
Involvement in pre-sales activities as a data expert.
Professional growth, interesting projects, and technologies.
Interested in involvement in data architecture, data design, and data pipeline engineering.
Position: Data Engineer / Data Architect / Teamlead
Category: Data Engineer
Experience: 11 years | English: upper


A highly skilled and motivated Data Engineer with focus on MS SQL Server and Architecture design offering a combination of cross-functional skills with 16+ years of  experience in the IT sphere as a DBA, DB Engineer, Data Architect, Team Lead.

Key Responsibilities:
Team management and mentoring UP to 11 people (DBA, DBD, QA, BI)
Code review. Unify code style
CICD implementation
Data storage optimisation 
Big Query data transfering
GCP data transfering
Creating Reports on SSRS;
SSRS server setting up and management
Creating and supporting dashboards in Qlikview/QlikSense;
Qlikview/QlikSense server management
Configuring ETL process
SQL Query optimization
Data recalculation and migration
MS SQL server replication setup and management
Failover cluster setup
Database BackUp/restoring

 2021 - present time, Data Engineer Team lead
	Team: Up to 11 people (DBA, DBD, BI, QA)
	
New data model for analytics:
One data structure for Big Query and MS Sql Server
Increasing performance for data query 10+ times
Decreasing query complexity

Big Query:
Data Uploading
Data Monitoring
 
 2018 - 2021, DBA Team lead
Team: Up to 4 people (DBA, DBD, BI, QA)
Interviewing, mentoring
Code review 
DBA Ms Sql Server support:
Up to 20 servers
100+ databases
Setup, back up, restore
Backup automatisation

MS Sql Server Replication:
Setup, support
Up to 7 servers in one system
Hundreds of tables
Single destination DB up to 7 TB

QlikView: Support

QlikSense:
Qlik view to Qlik Sense report migration
Setup
Reports - 2+ Billion Rows
New data model for user filtering:
200+ dimensions, 300 mln rows
30+ tables as datasource
6000 result reports per day (up to 50 mln records each)

Data migration:
For scalability PK was changed in the 20 biggest tables
Full data migration to GCP virtual machines
QlikSense migration to GCP
GDPR implementation

2014 - 2018, DB Developer
	MS SSRS:
50+ reports 
Version control, CICD implementation
Simplifying subscriptions. 200+ nightly subscriptions

Data model optimisation and refactoring
Position: Data engineer & database developer
Category: SQL
Experience: 10 years | English: intermediate

•	 Created ETL processes (extraction, validation, transformation)
•	 Developed database object: stored procedures, UDF, calculation views, complicated queries.
•	 Developed Data Bricks notebooks and workflows 
•	 Implemented and supported Spark structured streaming process (Event Hub & Data Bricks) 
•	 Designed and implemented custom log structure (Dynatrace & Azure Log Analytics) 
•	 Deployed and maintained snapshots in Snowflake
•	 Designed and implemented of ADF pipelines 
•	 Designed Azure Data Lake structure
•	 Performance tuning
•	 Troubleshooting
7+ years’ experience Data Engineering
•  Building Data Lake House;
•  Building Data Warehouse;
•  Implementation of data quality process;
•  Creating ETL processes from different sources;.
•  Implementation  BI solutions 
•  Migration data to cloud
Building from scratch Data Lake/ Data warehouse.
Data migration, validation, modeling, transformation.
Work with streaming data.
Position: Data Engineer / Database developer
Category: Data Engineer
Experience: 7 years | English: upper

Oracle SQL Certified Expert
IELTS (6.5)
Migration of Core Banking System
Modeling and implementing new functionalities for core banking system according to business
requirements
Making appropriate changes to existing functionalities Troubleshooting functionality issues
Stress testing and optimizing of the functionality
Used technology : Oracle PL/SQL

Created ETL jobs for data migration from different sources to DWH based on Sybase IQ
Wrote new SQL queries and optimized existing ones for ETL jobs
Created analytical and online reports using Oracle BI Publisher and Tibco Spotfire
Created Dimension and Fact tables, implementing star and snowflake schemas
Created data marts for use of various business departments Participated Credit Scoring Project of
McKinsey & Company
Used technology : Oracle, Sybase IQ, SAP Data Services Designer, Oracle BI Publisher, MS-SQL
Tibco Spotfire, Jira

Participated in DWH (Data Warehouse) development for Central Bank of Azerbaijan Republic
based on Oracle DB and created analytical reports Implemented ETL processes using ODI (Oracle
Data Integrator)
Created reports via Oracle BI Analytics
Used technology : Oracle Database, Oracle Data Integrator, Oracle BI Analytics

Automated customer contract forms using ABAP programming language Used technology : SAP
ABAP
- Interesting data related challening projects
- Friendly team
Position: Data Engineer/Database Developer
Category: SQL
Experience: 5 years | English: upper


5+ years of professional experience in Banking and Health-tech product companies;
- Development of DB solutions from scratch in accordance with business requirements (created and maintained procedures, functions, views, and triggers that are responsible for the sales planning application business logic).
- Development of data migrations between databases such as PostgreSQL, FireBird, and MS SQL using Python and linked servers.
- ETL process development: obtaining data from AWS S3 and saving it into PostgreSQL.
- Obtaining JSON data via external API using Python, parsing and saving data into PostgreSQL.
- Development of reports processing automation pipeline using Python.
- Query Tuning and Performance Optimization.
- Engaged in PostgreSQL administration (backups, server settings, jobs, crontab).
- Worked in the bank's IT department. Was engaged in data quality checks, ETL monitoring, functions, and procedures development (MS SQL Server).
Position: Data Engineer/Database Developer
Category: Python
Experience: 0.5 years | English: upper

I have an impressive track record of writing code in Python, moreover I've had experience working on mini-projects that involve various narrower specialties but all in the same Python. 
Equally important, I have several certificates that I obtained through self-study, namely two in Python, and one in SQl.
I also worked with SQL and Python as part of my thesis work.
A hard-working and creative developer with a year of experience in solo projects, as well as teamwork experience with developers from completely different fields. Responsibility and proficiency are the best way to describe me, not only my willingness to learn and study, but also my work experience as a non-experienced developer, which will help me fit perfectly into your company and work according to your exact schedule.
Position: Data Engineer/ Database Engineer/ DW Engineer/ BI Engineer
Category: SQL
Experience: 2.5 years | English: intermediate


Worked for one of Big Four accounting company in British department:
-analytical and calculation views (SAP HANA);
-analytical and SQL privileges (SAP HANA);
-AO reporting.
Worked for "National Nuclear Energy Generating Company of Ukraine" (EnergoAtom):
-SAP HANA modeling (tables, stored procedures, functions, table-functions, CDS objects etc.);
-analytical and calculation views / analytical and SQL privileges;
-Data loading and replication via Business Object Data Services.
Internal company project (Infopulse Ukraine):
-Ms SQL scripting (tables, stored procedures, functions);
-Data loading and replication via SSIS;
-Power BI Write Back with PowerApps.
Worked for one of Big Four accounting company in USA department:
-Integration of different On-Premise Data Sources to MS Azure Cloud to provide end users with business analysis using powerful capabilities of cloud technologies;
-Development of ETL processes using Azure Data Factory;
-Azure Databricks is used to implement different tasks;
-Backup and restore procedures of different components of solution: ADLS, Databricks, ADF etc;
-Implementation of security automation process to manage access to Data Lake and AD Groups and Users;
-Using PowerShell for Azure.
Position: Data Engineer/Data Consultant/Data Architect
Category: Data Engineer
Experience: 11 years | English: upper


Business Intelligence Developer with considerable knowledge in Business Intelligence, Business Analysis and ERP/CRM applications. For the last five years, I have been working with different business domains: manufacturing, banking, finance, sales, retail, warehouse, healthcare, human resource.  I have hands-on experience in communicating with different customers, gathering and documenting requirements from business users.

My core skills are:

- database design and development;
- ETL process development;
- data warehouses design and development;
- reports development;
- OLAP cubes development; 
- requirements gathering

BI Platforms:

JasperSoft, Pentaho BI Suite, MS SQL Server, Microstrategy
Position: Data Engineer, Data developer
Category: Python
Experience: 0.5 years | English: fluent

I studied one year computer science in my home country Azerbaijan, then I came to Hungary to start my education again. After a year, my GPA is 4.86 / 5.00
I was machine learning trainee for 4 month last year. I learned there machine learning algorithms, I learned more about data preprocessing, scraping and etc. Also, I learned some stuff about SQL there. I cleaned datasets that were given to us and made a prediction about future using tools we learned.
I am willing work for any python job. Java job would also be okay for me.
Position: Data Engineer / Data Platform Engineer / SE in Data Engineering team
Category: Python
Experience: 5 years | English: upper


I have more than 5 years of working with a data engineering stack from classic DWH with RDBMS to the data lake and cloud services. 
My tasks were tied but not limited to:
- data modeling;
- writing and optimizing complex ETL/ELT pipelines with vague requirements;
- performing data analysis and exploratory analysis;
- migration of data pipelines;
- writing tests for data pipelines;

As a Platform Data Engineering, I have had the experience:
- extending Airflow functionality;
- building and adopting data lineage solution in the data lake;
- creating a linter framework for Trino;
- writing a solution for naming convention propagation;
- creating other tools and services to enhance the productivity of data consumers;
- conducting POC (gathering requirements and documentation, preparing the environment, examining solution/using the tool, preparing summary and evaluation);
- investigation of different kinds of bad practices in data pipelines. Fixing error-prone code in ETLs (automatically, if possible);
- writing documentation;
- participating in post mortems.
I will be happy:
- to have the ability to write also Scala code;
- working in a team that cares about continuous data testing/monitoring;

I'm not interested in offerings that include:
- a lot of visualization work(Tableau Power BI, etc);
- only Microsoft stack;
- only Oracle stack;
Position: Data Engineer, Data Science
Category: Data Engineer
Experience: 0.5 years | English: upper


As a Data Engineer at Space International, I am responsible for leveraging my expertise in SQL, Python, and other relevant tools to manage and transform banking data into valuable insights. My role encompasses a wide range of responsibilities, including:

1. Data Pipeline Development: I design, develop, and maintain robust data pipelines and ETL processes to ensure accurate and timely delivery of data for various banking products and services. This involves collaborating with cross-functional teams to understand data requirements and implementing effective solutions.

2. Data Modeling and Optimization: I optimize data models and database performance to enhance the efficiency and scalability of data processing operations. By writing complex SQL queries, I ensure that data is readily accessible for analysis and reporting purposes.

3. Data Quality and Integrity: I am committed to ensuring data quality and integrity throughout the data lifecycle. This involves implementing data validation, cleansing, and normalization techniques to maintain high standards and accuracy.

4. Collaboration and Communication: I actively collaborate with cross-functional teams, including Data Scientists, Analysts, and Software Engineers, to understand their data requirements and provide them with the necessary support. Clear and effective communication is key to ensuring alignment and successful execution of data-related projects.

Working as a Data Engineer requires a combination of technical expertise, analytical skills, and a deep understanding of banking products and services. By leveraging my SQL, Python and Data Engineering skills, I contribute to the overall success of the organization by delivering accurate and actionable insights that drive strategic business decisions.
Position: data engineer, datascient
Category: Python
Experience: 3 years | English: fluent


1)	Building forecast system:
•	forecast benchmark for prediction sales per sku/brand/ATC Python (Sarima, Prophet, Exponential smoothing etc.)
•	ETL process for getting and saving results Airflow (Docker version)
•	MongoDB for saving models and turning parameters (Docker version)
2)	Building price recommendation system (Clustering, Classifier)
3)	Building telegram bot for working with IT services site:
•	aiogram + requests (Rest API) + SQLAlchemy
•	CI/CD Gitlab + Jenkins
4)	ETL process of fact sale per pharmacies Azure Databricks + Synapse 

5) Building automate analytic system from scratch:
• creating analytic base SQL Server 2008/2014 (MS SQL)
• ETL process Apache Airflow +Python (SQLAlchemy) from many sources (MS SQL (1C), Mysql, Google analytics etc.)
• deploy tabular model (SSAS)
• deploy SSIS
• deploy Power BI report server
6) Building Ad-hoc reporting system together with analytics of the company ( Power BI)
7) Building classification model (Python - sicit-learn) for predicting successes/not of buying of current goods from tv broadcast of our TV channel. Deploy web interface (Python - Flask) for model
8) Client Clustering (k nearest neighbours sicit-learn)
Web developer
Position: Data Engineer | Data Scientist
Category: Data Engineer
Experience: 3 years | English: fluent


I am a professional with a desire to expand my knowledge and great analytical skills to solve problems in a creative way. I am Master in Data Science at the Universidad Politécnica de Madrid with a thesis about Event Extraction on Legal Corpora using Large Language Models.

My professional experience spans the fields of Data Engineering, Data Science and Backend Developer. In all cases I have worked with the Python programming language (with more than 6 years of experience) and with cloud services such as AWS. As part of my work in Garaje de Ideas, I build microservices in the cloud to be consumed by the different applications of Multiasistencia (Allianz). Additionally, at SwagUp I collaborated in the creation of microservices that allowed communication with third-party applications such as Salesforce.

From my position as Data Scientist at Prosperia, I developed pipelines to extract, transform and load data and to get knowledge and discover patterns from it. I also worked on the creation of machine learning models with which I gained experience in data cleaning, variable engineering and the use of different models that could be adapted to the client's criteria without losing statistical rigor.

Finally, I am a Spanish speaker with great fluency in English and basic knowledge of French. Throughout my experience in the different companies I have worked with, I have obtained a great capacity for teamwork and experience with tools such as Python, Pandas, Scikit learn, MongoDB, SQL, AWS, Databricks, among others. As part of my academic studies I have also worked with Tensorflow, Apache Spark, Apache Flink, NetworkX and Gephi. I have experience with other languages such as C# and Common Lisp and basic knowledge of Scala and Java that can be corroborated in my Github projects.