lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Engineer
Category: Data Engineer
Experience: 5 years | English: upper

AWS Certified Data Analytics – Specialty
I am an experienced software engineer with a background in automation engineering and back-end development. Over the past year, I have been working as a data engineer on a data platform project. My responsibilities include 
 Develop, extend, and maintain data ingestion pipelines from various data sources.
 Utilize AWS resources such as Glue (with PySpark), Airflow, DynamoDB, S3, Redshift, Athena, and Appflow for data integration.
 Maintain and optimize the data warehouse to ensure its smooth operation.
 Develop infrastructure for dbt models to facilitate efficient data
transformation and modeling.
 Deliver data to QuickSight for visualization and reporting purposes.
 Develop and maintain project infrastructure on AWS using Terraform.
 Support other teams by assisting with data access and troubleshooting
infrastructure-related issues.

And the list of technologies I'm working with: 
 AWS Glue
 Airflow
 DynamoDB
 Amazon S3
 Amazon Redshift  Amazon Athena  Amazon Appflow  Dbt
 Amazon QuickSight
 Terraform (for AWS infrastructure provisioning and configuration)
Position: Data Engineer
Category: Data Engineer
Experience: 0 years | English: intermediate

I completed the English language course at the intermediate level.
I am a student of applied mathematics, I performed laboratory works on SQL, Windows Forms, and also used Matlab even for my bachelor's work. In my graduate work, I described the functions of Matlab on Python.
I have a great desire to work as a Data Engineer, work in team and with team.
Position: Data Engineer
Category: Data Engineer
Experience: 5 years | English: fluent


I am a versatile Data Engineer with a wealth of commercial experience in building and supporting large-scale data and backend systems, delivering impactful outcomes. Throughout my career, I have successfully modernized data organization structures, developed CI/CD processes, created cloud-based solutions, and built robust RESTful APIs.

My expertise spans a broad range of competencies and technologies, with a strong focus on:

* Data Engineering: Proficient in utilizing dbt, Redshift, and Fivetran to create efficient data pipelines and structures.
* Backend Development: Skilled in Python, enabling the creation of reliable and scalable backend systems.
* DevOps: Experienced in leveraging Docker, Terraform, and AWS to establish efficient and automated deployment workflows.

Currently, I am working as a Data Engineer in a successful Road Tolling startup. As a vital member of the Product team, I played a key role in building a Data Warehousing solution and creating an Analytics system that empowers informed business decisions. I now support and enhance the existing stack, developing new data-driven applications, adding new partner integrations, and providing valuable data insights to the team.

I have a deep passion for Big Data Engineering and Distributed Systems and a strong interest in Cybersecurity.

I am a great team player, and my passion for learning allows me to quickly align with team requirements and swiftly learn new technologies to deliver the best solutions possible.

I am confident that my skills and experience make me a valuable addition to any development team, capable of contributing to the creation of outstanding solutions.

Best regards.
Position: Data Engineer
Category: Data Engineer
Experience: 0 years | English: pre

I have completed courses:
SQL for data science in courera
CS50 completly in 2019
Epam basic course for .Net
I am finishing my bachelor's degree as AIS developer.
I am currently creating my first project, using the Python tool. This project includes big data analysis and classification. All this is implemented with the help of machine learning algorithms, such as: decision tree, catbust, logistic regression, knn.
Also, I'm familiar with java/scala, and work with c# and .Net platform on begginer level.
Have knowlege about using git.
I'm looking for a place where I can study as an analyst and engineer working with data. Also, I have no desire to work in gamedev or such as.
Position: Data Engineer
Category: Data Engineer
Experience: 5 years | English: upper

Designed scalable data processing solutions capable of accommodating exponential data growth. Collected TBs of data from different sources. In my current projects, I have processed substantial amounts of data, reaching hundreds of gigabytes. This data includes diverse formats, such as videos and images.
I am currently working as a SW & Data Engineer, responsible for creating ETL pipelines to process and collect data (video, image, audio). Overall, my role requires me to have a strong understanding of both software engineering and data analysis, allowing me to design and implement efficient and scalable solutions for our team. In my current projects, I have processed substantial amounts of data, reaching hundreds of gigabytes. 

English: Upper-Intermediate level
Programming language: Python
Software development tools: Jira, Confluence
VCS: Git/GitHub, BitBucket
Web Scraping tools: Selenium WebDriver, Python + BeautifulSoup, proxies
NoSQL Databases: MongoDB, ElasticSearch, DynamoDB
SQL Databases: PostgreSQL, MySQL
Cloud Storage: Amazon S3
Key-value db: redis
Virtualization: Docker, Docker Compose, Kubernetes
Messaging systems: SQS
Message Queuing and Task Processing: celery+redis(rabbitMQ)
Working with clouds: AWS (lambda, SQS, MWAA etc.)
API: Flask framework, FastAPI
Work with the integration of different data tools into your project, and improve the quality of your data. Design and Develop ETL Pipelines: Create efficient and scalable ETL pipelines to process diverse text, image, video, and audio data, ensuring seamless data flow from source to destination.
Implement Best Practices: Utilize industry best practices to optimize data extraction, transformation, and loading processes, ensuring data quality, accuracy, and reliability.
Incorporate Newest Technologies: Stay up-to-date with the latest advancements in data engineering technologies and tools, integrating cutting-edge solutions to enhance pipeline performance and maintain competitiveness.
Position: Data Engineer
Category: Data Engineer
Experience: 5 years | English: upper


I am data engineer at the fintech company in Baku/Azerbaijan. Tools we are using regularly are Python for ETL's, GCP, particularly BigQuery for ELT, Firestore for the storing unstructured data.
Took big part in migrating and streaming Intersystems Cache's SQL data to the GCP.
Apart above tools, I used PowerBI for the viz, S3 as object storage and got hands on experience with the AWS Glue. 
For the future, I want have more experience in Airflow (Data Orchestration), PySpark for the streaming data and if possible investing time to the learning second programming language like Scala or Rust as. I like OOP programming but it would be cool sometimes to switch to the Functional programming or to the low-level language like Rust.
Position: Data Engineer
Category: Data Engineer
Experience: 5 years | English: upper


I am Data Engineer with more than 5 years of experience in the field Business Intelligence. I have huge experience in SQL Database development using mostly T-SQL, PL SQL, MySQL and many others; and ETL work using SSIS and Azure Data Factories mostly, I have worked with Azure Data Lake, Synapse Analytics, Azure SQL;I have been working with different services (AWS) such as S3 for our main data lake, Redshift for the primary data warehouse. Also used Aws Glue for ETL solutions and Athena for analysis and querying the data. Also worked with DynamoDB where data was collected using single table design. Created and maintained different Lambda functions using pyspark. Report writing using different tools like Power BI and SSRS mostly, created paginated reports with using Power BI report builder. Also I have experience with working Airflow, PySpark, Python (Pandas, NumPy, Matplotlib, seaborn, scikit-learn)
Position: Data Engineer
Category: Data Engineer
Experience: 1 years | English: intermediate


I am junior data engineer 

I have experience ONE year
I worked for a big IT company 
We built DWH  and Data Lake.


We used to Snowflake and SQLserver 
My responsibilities - Dev testing new pipeline
Position: Data Engineer
Category: Data Science
Experience: 2.5 years | English: upper

I participated in lots of different activities (they all are listed in my CV). To be short, I participated (and won) in different hackathons, tried using Reinforcement Learning techniques to train game agents which can complete levels, participated in the google cloud skillboost program, where I worked with different GCP services, and listened to and participated in lots of different events and courses connected with Data Science and especially Machine Learning.
I am working as a Software Engineer on a data modelling application. My experience includes implementing git support for our application, Oracle plugin development, refactoring and adjustment of conflict resolution, and lots of others improvements. My huge project impact was recognized by both the customer and the team leader. 

Now, I am looking for a career change to ML Engineer, as my current position does not fulfil my technology curiosity.

I have an experience with python, especially in creating different APIs, bots, scripts, and notebooks for modelling and data processing purposes. In addition, I have a deep understanding of production machine learning along with cloud environment (AWS, GCP) experience. This all is supported by gained certifications. Also, I participated in the University of Toronto research program, where worked on disease prediction from raw sensor data from the smartwatch, and many others activities related to that field.

I will be happy to give you more details.
You can expect my proactivity and big desire to grow as fast as possible. If you can't guarantee such possibilities, I won't be interested.
Position: Data Engineer
Category: Data Engineer
Experience: 3 years | English: intermediate


I developed Data Warehouse from scratch. Developed and automated data pipelines using Apache Airflow. 
Now I write comprehensive python scripts, integrate the data by Talend Data Integration.
I want to try Cloud Technologies, because too many companies have started use of Cloud Technologies, but, unfortunately, I never had a chance to work with them.
Position: Data Engineer
Category: Data Engineer
Experience: 2.5 years | English: intermediate


I develop in the field of Data Engineering. I like to study this area, data, I am ready to learn and try new things.According to the Gallup test, my top 5 are Input, Intellection, Learner. I can study something new day and night, take courses, etc. I do not claim that I know everything, I can quickly adapt and learn what I do not know.
Preparation of data for decision-making systems, client analytics, preparing data for analysts to implement data models on recommender systems;
Optimization of the data mart calculation process;Development and support of ETL processes on Oracle Exadata, using an internal ETL tool; SQL query optimization; Working with SAS, developing communication nodes from one database to another or transferring data to web services;
Tools: Oracle, PL/SQL, Python, SAS, Kafka
Position: Data Engineer
Category: Data Engineer
Experience: 2 years | English: fluent

Created several projects for Governmental organizations of Armenia, including the HRMIS system and improvement of Taxpayer Management System modules,
Improved and worked on ETL tool for Praemium International Company (Data Aggregation Platform Software).
Working on development of AI/ML modules for Humanize.security Salience solution
I has held several positions in various industries throughout their career. They worked as a Principal ML Engineer at Humanize.security from June 2021 to the present, where they developed AI/ML models and reports for cybersecurity systems using Python and C#. Prior to that, I worked as a Wordpress Developer at Mininginfo.am from February 2021 to April 2021, developing a Wordpress CMS-based Armenia Mining Information Portal using Wordpress and PHP.  

I also held positions in PRAEMIUM RA, where they worked as a Developer/Team Lead of DAP project from April 2017 to August 2022. In this role, they developed Import/Export Tool and additional modules for existing software, software maintenance and support for Client, Server, CRM Core and Database modules, led the PRAEMIUM DAP project for Data exchange tool between Data providers and Praemium Wealthcraft CRM, and led the PRAEMIUM SGA project for a SQL Server performance analyze tool using C# and SQL Server.

Before that, I worked as an ICT Expert at USAID Tax Reform Project from July 2013 to December 2016, managing IT projects for State Revenue Committee and developing project plans, work breakdown structure, technical specifications, workflows, and other required documentation. They also developed IT security policy documents and a project website using CMS Joomla/PHP/MySQL.

Additionally, I worked as a Technical Consultant at Future Payments System LLC from October 2009 to June 2013, where they were responsible for the internationalization of bank terminals software and checks, and worked together with banks, ARCA processing center, and Ingenico company to provide compatibility of payment module with ARCA processing center and Armenian banks standards.

Another my experience is  working as a Software Projects Specialist at Yerevan Brandy Company Pernaud Ricard Group from February 2009 to June 2013, where they worked on several IT-related projects including internal IT audit, preparing hardware/software purchase contracts, and participated in the development of Grape Purchase Management System. They also maintained 1S/Accounting software for YBC Accounting and Finance Departments and developed several applications for different YBC departments, including Excise Marks Accounting system, IT Stock management software, and Graper's queue automation system using C# Windows Forms, Visual C++, MS Access, MS SQL Server, ASP.Net, and MS SharePoint Services.
Finally, I worked in The USAID Armenian Tax Improvement Project
Not interested in
- full-time work
- work on holidays, weekends, late or night hours
- employee tracking soft (time trackers, bossware)
Position: Data Engineer
Category: Data Engineer
Experience: 2 years | English: upper

BSc in Computer Science at Ukrainian Catholic University Lviv, Ukraine.
Average rate - 87
Also, for my thesis, I developed a political and social product that showed countries that voted like Russia in the UN with the help of data visualizations
I have 2 years of experience as a Data Engineer at GlobalLogic. During this time, I went from a Trainee to a Middle Data Rngineer.
During this time, I worked on a project where the main goal was to rewrite the old database using new technologies such as Python and AWS cloud. The client himself works with pharmaceutical data.
Responsibilities on the project
-Building data pipelines using Apache Airflow
- Design DWH on Snowflake and Postgres
-Building ETLs using SQL, Spark(PySpark)
-Cover code base with unit tests using Pytest
I wish to continue working with data, creating and designing databases and etc.
Also worked on various projects at the university. These include: creating a module to do polymorphic code, writing my Rick and Morty Universe google in React.js, AI related projects like writing an Atari boxing bot using RL and a fake news analyzer. Development of a system for working with the WIKI API using Django, Kafka, Spark, etc.
Position: Data Engineer
Category: Python
Experience: 4 years | English: fluent

Django for Everybody Specialization on Coursera; EF SET English Certificate (C2 Proficient)
I have 2 years of experience with Python. I have extensively used it for Data Science: building ML pipelines from scratch, automating analysis.
I would be happy to join your team as a Python Developer or as a Django Developer. I’m looking for a big project with complex architecture and a challenging technology stack.
Position: Data Engineer
Category: Data Engineer
Experience: 2 years | English: intermediate

- Several cloud application integrations.
- Integrations with Salesforce, Salesforce Marketing Cloud, Box, Phlex. 
- Work with Oracle Databases.
- Optimization of ETL flows.
- Knowledge transfer.
- Debugging and maintaining data flows.
- Implement integration tools into the Informatica environment.
I have 2+ years of software development in the game industry and 1+ years as a Data Engineer. I work with Informatica Intelligence Cloud Service (IICS) CAI on an integration project.
I am expecting good teamwork with great data engineers.
Stable career growth and ability to improve and learn new skills.
Position: Data Engineer
Category: Data Engineer
Experience: 4 years | English: fluent


I have 4 years of experience in data science and data engineering. I worked in Playrix as Data Engineer and in KazDream Technology as NLP & Data Engineer. In NLP sphere I improved products and build bilingual speech recognition system by using NeMo, Kaldi, Wav2Letter and DeepSpeech. As data engineer my duties included data mining from various web resources, data cleaning, controlling the flow to databases and other ETL tasks

NLP project was developed by our team from the scratch and further it was developed to AI startup - SpeechLab. We controlled all stages of machine learning models deployment, starting from data collection and ending model’s performance optimization in order to achieve fast inference and state of the art accuracy in kazak/russian ASR sphere. During the development of this system there were some branched projects such as Speaker Identification/Verification and Gender/Age recognition.

Data Engineering experience was mainly focused on ETL pipelines, analysis of social networks and terabytes of data. For building reliable pipelines with easy debugging I worked with Luigi, CloudWatch and Redshift. Moreover, I used multiprocessing in order to speed up the data collection process and RabbitMQ for synchronizing those processes. For data visualization we used PowerBI that connected to periodically updating tables.
Position: Data Engineer
Category: Data Engineer
Experience: 2 years | English: upper


I have a 2-year of job experience as a Data Engineer and Machine Learning Engineer. As a Data Engineer, I have worked with AirFlow, Kibana, and ElasticSearch. I brought these tools to the company where I have been working as Data Engineer. Apart from that I configured AirFlow for 300 independent tasks that diminished the server cost. Elastic Search and Kibana were used for monitoring purposes of tasks where we analyzed logs and used Kibana as a dashboard. Moreover, I am an NLP research assistant in the university where I am doing my master's degree. Throughout as a research assistant I have been involved in research projects where I built models for Part Of Speech Tagging, Truecasing, and Punctuation Restoration.  I am doing my master's degree currently in Computer Science and Data Analytics field in Goerge Washington University and ADA University (double degree program)(GPA: 3.56/4).
Position: Data Engineer
Category: Data Engineer
Experience: 3 years | English: upper


I have a background in accounting and finance with over 4 years of experience in that field. While I enjoyed my work, I always had a passion for data science, and after taking some courses to learn more about the field, I decided to make the switch.

Now, I am thrilled to be working in the exciting world of data science, where I can apply my analytical skills and love of data to help organizations make data-driven decisions. My experience in accounting and finance has given me a solid foundation in business operations, and my new skills in data science allow me to approach challenges in a new way.
Position: Data Engineer
Category: Python
Experience: 4 years | English: fluent

Successfully developed a clinic data extraction parser that collects clinic data from various sources, parses their websites, and generates comprehensive profiles. The model effectively utilized Google APIs, PyTorch, NLP tools, MongoDB, and Docker.
I have a broad experience building RESTful APIs using Flask and Django REST Framework, deploying to Gitlab and Docker. I've extensively designed and maintained MySQL and MongoDB databases and have a complete hand in developing ETL pipelines on AWS and personal architecture. I've created Telegram bots, and maintained various Python applications. Recently, I developed a comprehensive data extraction parser using a blend of Google APIs, PyTorch, NLP tools, OpenAI ChatGPT API, Redis, MongoDB, and Docker.
I thrive in roles where I can leverage my expertise in data management, ETL, AI, and NLP.
Position: Data Engineer
Category: Data Engineer
Experience: 4 years | English: fluent

Fast learner - when joined the last project I knew very little about Microsoft Azure but managed in a short time to learn all the necessary things and develop solid solution.
I have almost 4 years of experience in the Data Engineering field. Solid knowledge in T-SQL and Python. I have worked with such clouds as Amazon AWS (Redshift, Glue, S3, EC2, IAM), Microsoft Azure (Data Factory, Data Lake, Synapse Analytics, Azure SQL, Purview), and Google Cloud Platform (Big Query). Familiar with Snowflake, MS SQL, PostgreSQL and MySQL databases. Created complex ETL pipelines (both batch and streaming) in Microsoft SSIS, Azure Data Factory and Matillion ETL tool, also with Python and PySpark using Databricks and Delta Live Tables. For orchestration, I used Airflow and Rundeck. Created dashboards both from scratch and templates in Power BI and Tableau. For CI/CD used Git and Azure DevOps. I have experience in modeling and creating DWH. Mentored a small group of data engineer trainees.
Opportunity to study new technologies and improve my tech skills, friendly team, flexible schedule