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


Outsourcing company, remote position - Backend Python Developer
Writing efficient, clean, scalable code. Identifying and fixing errors. Writing tests. Working with databases and version control systems. Communicating with the project team. Release preparation and management.

There are more experience, which is described in detail in the CV.
Position: Data Engineer/ Python Developer
Category: Python
Experience: 3 years | English: upper

From sales to engineer, passed the selection and got into Demium (incubator) but unfortunately after a while the incubator closed due to the war in Ukraine, I came up with a project and created the MVP when I worked in a startup, the project got into the top 3 projects, but due to a number of reasons, I left the company and the project passed into other hands.
Worked in a startup (fintech 60 employees, the main product was a proxy for encrypting sensitive data) where I started from the position of sales, at the same time took technical tasks from engineers (expanded the functionality of the cli tool, wrote bash release automation on github, wrote integration templates with our product) , after which I was able to moved to the position of a customer support engineer, where worked with technical issues of our customers (integration with our product, documentation, finding solutions to problems with a team of engineers), then moved to the position of a software engineer, worked mainly with existing services (microservise system) written in Python (flask) the main tasks of fixing bugs, expanding functionality, writing tests (pytest unittest), working with data warhouse, API integrations, writing python automation bots, then moved to the position of data engineer worked with the following tools:  Matilion (ETL), Argo (ETL) (now also Airflow) - write new ETLs, integrations with data sources, maintain existing, writing alert system (with message pushed to slack); Redshift as a Data Warehouse,PeriscopeData as data visualisation and Redash (for custom requests from non-technical colleagues), worked with Docker, Circle CI, Rollbar, Kubernetes, Git, REST API, also on this position also got some expirience with  AWS (Athena, Crawlers, S3, Lambda), after which I continued my way and decided to try to work in large companies, where I worked on a such projects: HealthCare (working with customer data, obtaining and searching for useful information) here I faced with Snowflake, dbt, Fivetran
I am looking for opportunities to develop within a small company, I am very interested in companies where everything is just beginning, and I can participate in various development processes, now I am studying machine learning, I also wanted the product to be related to this area.
Position: Data Engineer/Python Developer
Category: Data Engineer
Experience: 1 years | English: intermediate

I share github profile with my projects:)
My professional interests are in the field of data engineering and data processing:

- Design, implementation and maintenance of solutions for automation and time reduction data processing (writing Python scripts (preferably Pandas), functions in Google Sheets).

- Writing GUI applications for convenient use of scripts.

- Working with Google API for data manipulation and/or formatting to .csv, .xlsx.

- Searching, extracting relevant data using regular expressions.


And in my free time I am interested in:

- Building data pipelines on Google Cloud Platform.

- Optimization techniques SQL queries (preferably PostgreSQL).

- Approaches to writing efficient Python code: multiprocessing, multithreading, delayed functions.

Goal - step up to data engineer and grow up my knowledge of big data and data pipelines.
russian-loved companies - do not disturb
Position: Data Engineer, Python Developer, Data Scientist, ML
Category: Python
Experience: 3 years | English: fluent


Work Experience:
        Completed projects involving GAN-based anomaly detection, using advanced techniques to identify irregular patterns within datasets.
        Contributed to software development projects, integrating APIs to enhance overall functionality and user experience.
        Currently hold a key role in a cross-functional team, actively collaborating on refining data-driven solutions.
        Utilized Python proficiency for tasks including web scraping, automation, and data analysis.

    Anomaly Detection Expertise:
        Applied GAN-based anomaly detection techniques to identify outliers and irregularities in complex datasets.
        Leveraged deep learning models to achieve accurate anomaly detection results, enhancing data quality.

    Software Development and API Integration:
        Played a pivotal role in software development projects, focusing on API integration to expand features and capabilities.
        Utilized Python programming skills to interface with APIs, enhancing software functionality and user experience.
Remote work is a priority for me due to its flexibility and the potential to achieve a better work-life balance.
    In the event of a relocation, I would expect the role to provide clear benefits and opportunities for professional growth that would make the transition worthwhile.
    Regardless of the work arrangement, I am looking for roles that value innovation, collaboration, and ongoing learning.
    I am not inclined towards roles that lack a clear remote work policy or don't provide adequate support for remote employees.
Position: Data Engineer / Python Engineer
Category: Python
Experience: 0.5 years | English: fluent

• Successful deployment of telegram bot on Digital Ocean.
• Coding knowledge and experience improvement.
• Experience in remote work and communication with IT professionals.
• Successful Integration and setup of new software and hardware systems.
• Excellent cooperation with international teams.
Python developer / QA engineer	 Jan 2021 - Dec 2021
Self employed  Remote, Ukraine           	
	• Development of Python-based Telegram bot for English vocabulary quiz game with 5000 words database (Development logging, bug-tracking and bug fixing)
	• Regular meetups and remote communication with the CEO partner, experience in remote work and communication with IT professionals 
	• Continuous coding knowledge and experience improvement 
	• Successful deployment of telegram bot on Digital Ocean Cloud Service 

Digital and Radio Equipment Ships Officer	 Jan 2015 – Mar 2022 
Shipping Co. Worldwide            	
	• Provided maintenance and administration of ship’s computer software, hardware and local and satellite networks
	• Excellent cooperation with international teams in extreme working environments
	• Helped train new hires on company’s policies, operations, and day-to-day responsibilities
Work
Position: Data Engineer, Python Engineer, AI/ML Engineer
Category: Data Engineer
Experience: 1 years | English: fluent


Junior Data Engineer (Mar 2023 – present)
Forecasa
- Created and deployed data pipelines using Airflow, Python, and Docker;
- Implemented new dbt models, and modified existing ones;
- Monitored Python and dbt pipelines performance, addressing and resolving failures promptly;
- Designed and implemented new PostgreSQL tables and sqlalchemy ORMs;
- Implemented ad hoc modifications for a PostgreSQL database;
- Performed numerous data transformations from raw JSON and CSV to PostgreSQL tables using pandas;
- Created tools to make the transformation process easier, faster, and more efficient;
- Created a testing suite for data transformations that checks data quality and integrity;
- Implemented benchmarking pipeline for OCR system, improved OCR process accuracy;
- Conducted frequent code reviews.

Junior Data Mining Engineer (Nov 2022 – Mar 2023)
Forecasa
- Built scrapers using selenium and requests, uploading the collected data to AWS S3;
- Processed and cleaned collected data using pandas prior to uploading it to PostgreSQL database;
- Implemented improvements for custom scraping framework that decreased development time, increased
efficiency, and resulted in a better code readability;
- Worked on code documentation and assisted in onboarding new members of the team
I am most interested in fields such as Data Engineering, AI, Software Engineering with Python.
Position: Data  Engineer Python/Java
Category: Data Engineer
Experience: 7 years | English: fluent


- Extensive experience in java backend microservices experience
- python scripting experience
- web scraping experience
NLP:
- text mining
- summarization
- similarity
- NER
- search, recommendation
- sentiment
Switching from BE development to machine learning(NLP) niche. Looking for projects where I can combine either.
Position: data engineer (Python, Pandas, SQL)
Category: Python
Experience: 0 years | English: fluent


Python, Pandas, NumPy, SciPy matplotlib/seaborn (dataframes, aggregation, queries, data manipulation), sk learn models.
PostgreSQL (aggregation, joining, grouping, case)
PowerBI/DAX
Have coding resume with examples.
Excellent English and good German. Robust experience in international IT business.
I look for gigs in data science and need support/education from employer
Position: Data Engineer/Python Software Engineer
Category: Python
Experience: 6 years | English: fluent

Implemented a complex stream processing project from scratch. It's consist of two main parts: 1) AWS DMS task to collect changes from database in realtime and push them to a Kafka topic; 2) Apache Flink stream processing job to filter, aggregate and apply events as small batches to a target database.
Supported and improved existing ETL pipelines including requests to a third-party API providers on a daily basis, added new data source for the pipeline which uses PySpark for processing, Refactored and improved stability of big pipeline which queries internal resources and push the data to third-party API provider, Managed a team of Python Developers (10+ team members): onboarding, mentoring, reviewing.
Position: Data Engineer, Senior DWH and ETL
Category: Data Engineer
Experience: 5 years | English: fluent

Data warehouse migration from Teradata to Snowflake/Airflow.
Design data quality rules, bad orders collection. 
Tuning Data warehouse performance.
Mentorship of interns and juniors.
Supply chain, MRO supplier, E-commerce (US), 2019-now
- Data warehouse on Teradata/SQL, ETL/WhereScape, SAP, shell scripting, Kafka
- Data engineer with Python, Snowflake, AWS, Airflow, CircleCI.

Travel aggregator (US), 2017-2019
- Data warehouse on Teradata/SQL, ETL with Informatica, Hive, Qubole, QlikView, Jenkins.
Position: Data engineer, Software developer
Category: Data Engineer
Experience: 3 years | English: fluent

Open source commits
Currently, I am working on a cybersecurity project with ML fraud prediction.

My main responsibilities are:
1. Developing and maintaining scalable microservice architecture while using FastApi/Django/gRPC, asyncio, protobuf, AWS services, and Apache Kafka.
2. Data modeling, query and speed optimization, and cost reduction. For databases Postgresql, Redis, Cassandra, Neo4j, and Elasticsearch.
3. ETL/ELT pipeline developing and maintaining using pandas, pySpark, Hive, Databricks, and Go programs.
4. Participation in ML development. ML ops.

The most detailed information is in my CV.

I like to share my knowledge and experience while applying them to develop non-trivial architecture. And my true passion is to learn new technologies to enhance system robustness and performance.
Position: Data Engineer / Software Developer
Category: Data Engineer
Experience: 11 years | English: fluent

No special needs
I have more than 7 years as a Software Developer in C# & other languages 
AND 4 years experience as Data engineer 

In Summary:
.NET  Experience			5 Years
•	C#, .NET, CORE
•	REST, JSON, XML
•	Unit Tests, Integration Tests, TFS, SVN, GIT, Entity Framework

ETL / BI Experience			4 Years
•	Designing ETL data flows with different data sources
•	Designing and deployment of reports 

Cloud Experience			3 Years
•	Azure (DevOps, Event Bus, Data Lake, Blob Storage)
•	AWS (EC2, RDS, SNS, SQS, SES, Glue, Athena, Lambda, API Gateway, S3, CloudFormation, CloudWatch)

T-SQL / Databases Experience	3 Years
•	Installation, Configuration and Updates of SQL Server
•	MSSQL, MySQL
•	T-SQL developer skills including Stored Procedures, Indexed Views etc.
No special needs
Position: Data engineer / Software developer/ Machine learning ops
Category: Data Engineer
Experience: 6 years | English: intermediate

Over 7 years as Software Engineer.
Master's degree in Data Science (UCU master's program).
Google Cloud Data Engineer certification.
Built many distributed data platforms.
Geek and hacker. I like to read tech books and investigate new (old) technologies.
Good father :-)
Several projects:
- A distributed application that analyzed Instagram data (text/photo/meta info) and produced the most important features for engagement rate (correlation features). Stack: Python/TensorFlow/Scikit-learn/Kubernetes/GCP
-  Distributed cloud application that makes anomaly detection and forecasting sales in retail data. Stack: Python/Scikit-learn/BigQuery(1TB of data)/online re-train
- Cloud stream infrastructure (and partly application) for sentiment analytics tasks and fake detection. Stack: Python/Apache Beam/Kubernetes
- Distributed cloud application (batch and stream) and infrastructure for crawling web pages.  Stack: Python/Scrapy Cluster/Apache Airflow/Apache Spark/Apache Kafka/Hive(as a data warehouse)/Kubernetes/GCP.
- Provided new approaches for improving data validation and monitoring data processing (near real-time). Stack: Python, Apache Airflow, Apache Spark, Grafana/PostgreSQL/Kubernetes/GCP.
- Distributed event source architecture. Stack: Java, Apache Kafka, Kafka Streams, Kubernetes, GCP.
I'm more interested in itself project that I'm solving than in various "cookies" in the company. For example, I would prefer a small and little-known company that solves a cool and challenging problem instead of a well-known company with a ton of "cookies" and boring tasks.
I prefer small teams.
I like to know business information about a task. What business goal am I solving, will this solution really solve it, how can I check this in the future, what is the specific benefit of the current task, and so on? The ratio is 80 (technology) / 20 (management).
I prefer projects in which I can do something new, but not more than 30-40% of all time.
Position: Data Engineer / Software Engineer
Category: Data Engineer
Experience: 2 years | English: upper


EPAM (Jun 2021 - now) - Software Engineer
Part of data migration squad. Sites migrating (British client)
Tools & Technologies: ETL, JSON, JSONata, XSLT, Docker, Mongodb, GitLab, Python, YAML, Kanban, GCP overview.

PWC (Apr 2020 - Jun 2021) - 	Business Systems Support Specialist
Supported different internal business processes for CEE region
Tools & Technologies: SQL, Visual Studio, SSRS, SSIS, SSAS, PowerBI, Google Tools, Scrum,
Python.

PWC (Dec 2019 - Apr 2020) - Data Analyst
Worked with data (extract, transform, load) to simplify the audit processes.
Tools & Technologies: SQL, Python (data transformation), Alteryx (ETL tool), KLIK Portal, iPower, MS Excel
Position: Data Engineer / Software Engineer
Category: Node.js
Experience: 4 years | English: fluent


I've been working as a Data Engineer for the last 2 years designing and developing ETL data pipelines with Airflow, data scraping projects in Python and Node.js (using scrapy and puppeteer), data gateway API for validating and pre-processing all incoming data files (written in TypeScript with NestJS) as well as doing data processing with pyspark in Azure Databricks. I have experience coaching junior team members, doing code reviews and assigning tasks. 

For 1.5 years before that I had been working as a Backend Software Engineer mainly developing APIs in Node.js. Worked with  ElasticSearch, MongoDB, Redis, PostgreSQL, Lerna monorepos.  

I have limited experience deploying projects with Docker and Kubernetes, also some experience writing CI pipelines (CircleCI).
I'm looking for part-time projects, either remote or in Vilnius.

Will not work with blockchain/cryptocurrencies/online casinos.
Position: Data Engineer / Software Engineer
Category: Data Science
Experience: 6 years | English: upper

* I learned Rust language in my spare time and used it to contribute to Firefox. Eventually, I got accepted to the program, where participants were paid for their open-source work.

* I worked in the large enterprise projects and tiny startups, solo and as a part of a team. I managed to meet expectations in all those setups. My work was recognized by the clients and by my teammates. I think this proves that I'm able to find a common ground with different kinds of people.
What I've been up to recently:
* Worked on an open-source Rust project
* Developed batch data processing pipelines(ETL/ELT) with Python, SQL and other tools
* Maintained legacy systems
* Designed meaningful analytical dashboards
* Trained end users, researched new tools, worked on proof of concepts
* Worked in client-facing roles quite a lot
I am looking for a team where I’ll be able to grow along with my colleagues, as well as utilize my existing skills and be useful. 

Besides Data Engineering, I'm also considering roles in Release Engineering/Ops/Infrastructure, as these are the fields that I'd like to explore more.
Position: Data Engineer, Software Engineer
Category: Python
Experience: 4 years | English: upper

Scraped 28m records during 2 weeks from the site which bans users every 20 requests.
Rewrote old repository with 432 scrapers from python2 to python3.
Deployment of Apache Airflow and synchronizing its DAGs via Amazon S3.
Deployment of TOR as a microservice for proxying requests using HAproxy and Polipo.
Accelerated calculation and processing of geospatial data by 20 times
Worked as Tech Lead in a separate team.
Soft and polite scraping of floorplan images from different data sources (14m+ of images, 1.4+ terabytes).
Proposed and implemented architecture refactoring for P&L calculation which made it stable and 30x faster.
Worked with OpenAI LLM integration (using langchain) to create a chatbot which can use tools to query Elasticsearch and recommends some real estate properties based on users' needs.
Experienced Software Engineer with 4 years of expertise in Python, ETL, microservices, and web scraping. I have contributed to backend application and API development, handled large-scale data scraping projects, and worked on diverse data science initiatives involving satellite image processing, geospatial data, and data collection. Proficient in service architecture and event-driven design. Worked on the refactoring of legacy code. Additionally, I have actively participated in various CI/CD tasks.
Looking for a mixed (opportunity to work remotely and in the office) job, ready to work with backend tasks, data extraction, transformation and load (ETL), and additionally interested in R&D tasks.
Position: data engineer spark
Category: SQL
Experience: 4 years | English: pre


24yo
Study:
- National university of food technologies, master degree of computer science
- ITEA - Python for data science

Work expirience:
- Call center IT support  - sql developer, developing/support team
- Raiffeisen bank - data analyst, controlling department
- Microcredit company - Developer (sql, python) / data engineer - IT department

Work skills:

Spoken SQL (MYSQL, SQL Server):
- complex optimal queries, reports working with millions rows
- query / processes optimizing, bugfixing, crm / system db bottleneck searching
- Business processes monitoring (Grafana)
- SQL Server productivity monitoring, optimizing
- Jobs, SSIS/python data transfer (post/get), processing, datafilling
- adding back-functionality to existing erp/crm

Python3 (basics):
- Pandas, numpy, scikit-learn
- Data science/ machine learning basics (Certificated, ITEA)
- http requests  (basics), json

Additional:
- RDLC, BIRT reports
- grafana
- SSRS
- SSAS (Data mining, olap)
- knowage bi
- jira, confluence
- postman
- excel

Expirienced in:
- Bank data (DWH)
- credits data, loan calculations
- call center data
- integrations

Open for study/self-study, new technologies (like hadoop, nosql), new DB.
Not interested in only report developing / fixing /editing  work.
Not interested in DB administration.
Interested in machine learning tasks, big data, nosql, or other developing tasks.
Position: Data engineer/Sql developer
Category: SQL
Experience: 1 years | English: upper


Hello, I have been a data engineer for the last year. I have experience in building storefronts, in building etl processes and orchestration, I work with ms sql, PostgreSQL, oracle sql, greenpulm from kafka and talend etl tools.
Position: Data Engineer/SQL Developer
Category: SQL
Experience: 4 years | English: upper


Passionate Database Engineer with extensive background in different roles.

Worked with different databases Oracle, PostgreSQL, MSSQL, MySQL, etc. 

Passionate about using data to drive insights and improve business performance. I enjoy working in a fast-paced environment, comfortable managing large datasets and complex data structures.
Position: Data Engineer\ SQL Developer \ Data Analyst
Category: SQL
Experience: 4 years | English: upper


• DB:
   o T-SQL Development (MSSQL Server 
      2008/2012/2014/2016) and administrate experience;
   o PL/SQL Development (Oracle 10/11/12);
   o Experience with MariaDB/MySQL, HP Vertica;
   o Experience with OLAP and ETL tools (SSAS, SSIS)
• Reporting:
   o Power BI
   o Fast Report;
   o Microsoft SQL Server Reporting Services (SSRS);
• Python
• Web-Servers administrating:
   o IIS 7/8 (Windows Server 2008/2012);
   o Nginx (CentOS/RHEL);
• Development Dynamics AX and SSRS reports 
  (Microsoft Dynamics 365 for Finance and Operations);
• Version Control Systems: VisualSVN Server, GIT;
• Atlassian products (JIRA, Confluence, Bitbucket);
Position: Data Engineer/  Team lead
Category: SQL
Experience: 6 years | English: pre


• Building and management of IT infrastructure of the company
• Building saas aplication for sturtup (new version credit-buro), implement scoring system in company
• Working on projects integrating services and applications with DWH
• Working with large amounts of data, OLAP, ETL, API
• T-SQL, SSIS, SSAS, SSRS, PL/SQL, Power Bi, MongoDB
• Management reporting within the project (Jira, Trello)
• Development of the project documentation (technical and reporting)
• Python, PHP
• Management of an international remotely team of 6 people