lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Engineer
Category: Data Engineer
Experience: 2 years | English: fluent


Currently working as a Data Engineer in the Enterprise Data Reporting and Business Intelligence Team of Ecobank Nigeria.

My job role involves:

•	Adhoc report/data generation using oracle and sql scripting languages. 
•	Utilize business intelligence software to assist end users in the creation and development of reports and dashboards.
•	Rendition of Regulatory Reports 
•	Translating business needs into analytics/reporting requirements.
•	Automation of Business Processes
•	Translating business needs into analytics/reporting requirements. 
•	Interfacing with other units/users to ensure successful delivery of reports. 
•	Delivery of business intelligence solutions to end users to facilitate more formed business decisions.  
•	Developing, packaging and delivering new service offerings related to business intelligence with strict adherence to the laid down procedures.  
•	Use of excel vba(macros) to develop report dashboards and to automate business processes. 
•	Managing the reporting and analytics platform(s) to ensure that scheduled jobs are successfully run and analytics data aligns to timeliness/completeness requirements.  
•	Working with database administrators to ensure that databases feeding the reporting platforms are tuned for optimal performance.  
•	Collaborating with end users to identify needs and opportunities for improved data management.
Position: Data Engineer
Category: Data Engineer
Experience: 2.5 years | English: upper


Currently, work in Kaspi.kz as a Data Engineer.
Kaspi.kz is a payment, marketplace and fintech ecosystem in Kazakhstan that is used by more than 13 billion active users
Developed ETL processes for new products from scratch
Optimized process that helped to reduce execution time by 90%
Prepared datasets for machine learning models
Created monitoring processes for analysts and business customers, which led to a timely response
to possible errors
Position: Data Engineer
Category: Data Engineer
Experience: 1.5 years | English: intermediate


Current role: Data Engineer
Preferred career direction: BigData, Cloud services

- API Integration with Python Scripts: Devised Python scripts for seamless interaction with APIs from various data vendors and CRM systems.

- n8n Workflow Automation: Utilized the n8n tool to construct complex workflows, thereby enhancing overall data flow and operational efficiency.

- Data Automation with KNIME: Leveraged the KNIME analytics platform to automate data workflows, which included data cleaning, transformation, and analysis tasks.

- OpenAI API Integration: Authored, debugged, and tested code for interacting with the OpenAI API, which involved crafting prompts and evaluating the results.

- Generating Reports & Analyzing Data: Employed tools such as Python, Pandas, SQL, Google Spreadsheets, and KNIME to perform data analysis and generate comprehensive reports.

- Streamlit Web App: Developed a web application using the Streamlit library, n8n, Python, and Pandas, resulting in improved data visualization and user interaction.

- Reporting in HubSpot CRM: Created and implemented intricate reports and dashboards within HubSpot CRM, providing useful metrics to support strategic business decisions.

- Business Rule Development: Developed and articulated business rules for the company's procedures, thereby enhancing adherence to processes and compliance.
Position: Data Engineer
Category: Data Engineer
Experience: 2 years | English: fluent


Data Analyst / Data Engineer - Thedigital (March 2021 - present)
Engineering:
- development of data collection and data processing strategy from the ground up
- deployment and maintenance of a Data Warehouse (Bigquery), managing DW budget
- deployment of Airflow + Python ETL scripts, building data pipelines
- prototyping of a Golang client-server telemetry network for scheduled internet speed measurement
Analytics:
- creation of automated financial reports (Tableau, Data Studio), time series analysis, regression analysis
- geo-spatial analysis: creation of an algorithm constructing isolated chains of shortest paths for thousands of points (Python, OpenStreetMa deployed as a local Docker instance, QGIS)
- point-in-polygon analysis of client coordinates (shapely, geojson)
-plotting of complex geospatial data

Data analyst - Uploadcare, Canada (1 year, remote)
- conducting product-, marketing-, finances-related analysis using Python (jupyter, pandas, pyspark, multiprocessing, numpy, plotly, seaborn, regexp), BigQuery, Chartio, PopSQL, Amplitude, Heap Analytics and Tableau (complex queries in Standard SQL):
- calculating and visualizing SaaS-related business metrics - MRR/ARR/churn ratio/customers' debt/conversion rates etc.
- parsing gigabytes of raw json logs for data warehouse backfilling, historical analysis based on raw data. Building basic data pipelines with Apache Airflow.
- cohort- and segment-based financial analysis, ad hoc drilldowns, detecting outliers and anomalies within the working datasets
- setting up front-end tracking events using Heap Analytics, Google Tag Manager, Segment (event routing)

Marketing-Manager (Israel, US market).
Responsibilities:
- Competitive analysis: (US, French market)
- Optimization of internal workflows: pitching of automation ideas, close cooperation with Dev department, design of use cases and user stories
- Design of A/B tests, analysis of metrics, reporting (Google Optimize, Google Analytics, SEMrush)
- Client relations, translation of product specifications, promotional and advertising materials

Pet projects:
- Web-app with as Interactive Visualization of covid-19 cases in Ukraine, fatality and recovery ratios, testing rate (requests, MySQL Server, Pandas, Plotly/Dash on Flask)
- Telegram bot for Kiev Municipal Blood Center (requests, threading, SQLAlchemy, MySQL Server, PythonTelegramBotApi (JSON))
- Jupyter scripts for historic data analysis of raw data, visualizations using Plotly
Searching for an enthusiastic team, eager to learn new stuff.
Position: Data Engineer
Category: Data Engineer
Experience: 2 years | English: upper

On the data-analyst position I get used to making auto-tests that help to find and solve a lot of problems in a short period
Also I made an AI model for forecasting deposits depending on bonus parameters
Data Analyst OxTech - 1,8 years - now
Data Analyst AddTech - 4 months - now

I have been working on Data Analyst positions for 2 years now. And for now I'm working with auto-test full-time and Data collecting + Data Engineering on part-time.

I used to work with Python: selenium, pandas, numpy, skikit-learn, api`s
SQL, Clickhouse, PowerBI, Graphana
I want to work on products that socially responsible, work with new technologies and grow as a professional with dedicated people. 
Beside of regular analytics tasks, I used to write AI models like polynomial, logistic regression models.Also, i write python scripts for health checks with SQL usage and alert sending. 

I have little experience with pytorch and I want to grow in ML and Data engineering.
Position: Data Engineer
Category: Data Engineer
Experience: 1 years | English: upper


Data and Balance Sheet Engineer
Mykolaivoblenergo
Achievements/Tasks:
- work with documents and acts;
- work with alternative sources of electricity;
- electricity flow calculations;
- tabulation;
- data validation and aggregation.
Position: Data Engineer
Category: Data Engineer
Experience: 1 years | English: intermediate


- Database design and development
- Writing SQL scripts, stored procedures, functions
- Building and managing ETL processes
- Cloud database servers (IBM Cloud, SQL Azure)
- Working with data on Python: cleaning data & visualization
- Basic knowledge of network technologies
- Experience of working with Git
- Java Core, JDBC & Hibernate
- Working with UNIX systems \ bash
- Experience of using C\C++
Position: Data Engineer
Category: Data Engineer
Experience: 6 years | English: upper

I have experience of databases design, maintenance and in query optimization and database performance tuning and implementation.
Database developer with 6 years of experience.
RDBMS: MS SQL Server 2016, 2014, 2012
Technologies: SQL, T-SQL, ETL, SSIS
Tools: MS SQL Server Management Studio, Microsoft Visual Studio, Git
Full-time job 
New experience
Position: Data Engineer
Category: SQL
Experience: 11 years | English: upper

Currently located in Czechia with work permit (+ private entrepreneurship (aka FOP) )
Database Development (MS SQL Server, T-SQL) - Senior
Python for data analysis - Middle
Machine Learning - Middle
Algorithms & Data Structures - Senior
Git, AWS, Jira, Mathematics
I would be happy to jump into a project related to health care.
Position: Data Engineer
Category: Data Engineer
Experience: 4 years | English: upper

Creating  and configuring workspace for data scientists on jupyterhub allowing them to choose their own environment, organizing  all the connection and access to minio, hdfs, and spark cluster.
Creating first version of chatbot using Rasa and telegram bot api. 
Installation and configuration of Apache Airflow on kubernetes. Creating first dags in a company for ETL processes. 
Collecting all money transfer reports from different transfer services and creating unique board for automating it. 
Streamlit app with the functionality of implementing model on datasets, visualization of inputs and results, and automatic plot builder.
Data cleaning using pandas and apache spark. Creating data pipelines using Nifi. Orchestration of ETL processes using Apache Airflow. Creating gitlab ci pipelines for kubernetes deployments. Writing simple data visualization pages on Streamlit. Installation and configuration of services on kubernetes cluster using helm and kustomization (Apache Airflow, Jupyterhub, Grafana + Prometheus, Keycloak). Installation on local cloud using Juju.
Position: Data Engineer
Category: Data Engineer
Experience: 1 years | English: fluent

Led transition of team from paper-based questionnaires to digitized tools like KoboCollect, improving data collection accuracy and efficiency
Data Collection and Analysis Coordinator
Program Support Services
2019 - 2021

- Led transition of team from paper-based questionnaires to digitized tools like KoboCollect, improving data collection accuracy and efficiency
- Developed and implemented new data collection tools, trained team on effective use, and collaborated with technology partners to ensure tools met specific requirements
- Led data collection and analysis efforts on various projects, using Pandas and Excel to transform and visualize survey data
Position: Data Engineer
Category: Data Engineer
Experience: 0.5 years | English: fluent


Data Collection and Quality Analysis Intern - Casafari 
I did data exploration and preparation, using special development tools.
I parsed data from html-pages using css selectors, regular expression, json and  jmespath. Also I integrated data into the system and monitored its quality.
Research trainee - Waterloo AI 
I made a research connected to social media analysis.
Position: Data Engineer
Category: Data Engineer
Experience: 2 years | English: upper


DATA ENGINEER 10.2022-Present
N-iX (Software Development Company) 
- Performing data integration and migration processes in Snowflake 
- Performing data transformation processes using dbt
- Creating new pipelines and adding features to existing
- Providing documentation for created processes
- Dealing with high-load processes and sql stored procedures
Technologies: Python, AWS(DynamoDB, Lambda, ECS, ECR, S3), SQL, PostgreSQL, dbt, Snowflake, terraform

BEST::HACKath0n
 27-28th, May, 2023
- Led a team on hackathon project and was a speaker introducing it
- In 24 hours developed a volunteer assistance website aimed at enhancing the volunteering experience.
- Implementing backend REST API using Golang
- Set up CI/CD and Web Server using Docker, docker-compose, AWS RDS, AWS EC2

RPA ENGINEER 12.2021-10.2022
Future Proof Technology (Software Development Company) 
- Developed and tested digital robots for automation purposes
- Developed internal reusable components (libraries) for working with Microsoft API (OneDrive), SFTP
Technologies: Python, RPA framework, MS API(+Azure), Google API, selenium, Pandas

PYTHON ENGINEER 09.2021-03.2022
Naturalex Sárl (Food and Beverage Services)
- Worked solo on automation processes
- Performed web-scrapping, web-crawling, data mining
Technologies: Scrapy, Selenium, Requests, BS4, Pandas
Position: Data Engineer
Category: Data Engineer
Experience: 5 years | English: upper

Data Engineer achievements:
[1] 2x AWS Certified:
    - AWS Certified Cloud Practitioner
    - AWS Certified Solutions Architect – Associate
[2] Public speaker at International Conferences among English and Russian communities
[3] Have my personal blog
[4] Open-source contributor on a regular basis
[5] Was responsible for trainee's onboarding
[6]. Developed standalone tool, that allows:
    1) Parse data by passing list of companies into raw dataframe
    2) Clean raw data frame
    3) Convert data frame into suitable for analysis format

Data Science achievements:
[1]. Won AI Spring Hackathon 2018 in computer vision track.
[2]. Took part in kaggle competition: the result is top 22% out of 3800+ teams.
[3]. Object detection project has been done. (tensorflow+keras, deep learning)
[4]. Participant of Ukraine data science club: 
- created image classification neural network (keras+tensorflow, deep learning)
- worked with time series
[5]. Passed a lot of courses in a variety of platforms, including Machine Learning and Data Analysis from Yandex and Deep Learning from Andrew Ng. 
[6]. SMART Academy (Data Science 17.10.2017 – 22.11.2017).
Data Engineer
5 years of commercial experience in IT: Android Developer => Data Scientist => ML Engineer => Data Engineer

Aiming to work with AWS or GCP in the future 

Computer Science bachelor's degree.

Skills:
- Python | Scala | Java
- AWS: DynamoDB, DMS, EC2, CloudWatch, S3, IAM, SFPT, Lambda, EMR, Lake Formation, Glue, Athena, Kinesis Data Firehose, Amazon ElasticSearch, CloudFormation (IAC), Code Commit, Code Pipeline, Code Build, ECS, ECR
- Spark
- Airflow
- Docker
- SQL
- ElasticSearch
- Kafka
- Jenkins
- Redis, MongoDB: fundamentals
I have 5 years of software development experience and am looking for a Data Engineer position with AWS cloud provider.
Position: Data Engineer
Category: Data Engineer
Experience: 0.5 years | English: upper

Junior Data Engineer for IT Product and Outsource companies.

Experienced with technologies/services such as AWS, GCP, Python, PostgreSQL/MySQL, Databricks, Snowflake, Git, Apache Airflow, Docker, and Kubernetes.
Data Engineer
Amazinum [ 6 Jan 2023 – 30 Jun 2023 ]
City: Ternopil
Country: Ukraine
- setting AWS EC2 for hosting the website, processing data
- managing GCP VertexAI for training models
- using Kubernetes for managing containerized apps
- planning and monitoring workflows using Airflows
- setup a CI/CD pipeline with GitHub Actions and AWS
Position: Data Engineer
Category: Data Engineer
Experience: 1 years | English: fluent


Data engineer/analyst with almost 2 years of experience in IT. Bachelor of applied maths in Kyiv-Mohyla Academy. My hard skills: 
Power BI (also sertified by Microsoft), Google Data Studio
Python - standart IDEs, Databrciks
R
SQL - SSMS, PostgreSQL, DBeaver
Azure (Data Factory as well), Google Cloud Platfrom - configuring and administration
In addition: Postman, Git, MS PP Excel Word, Jira
Position: Data Engineer
Category: Data Engineer
Experience: 3 years | English: upper


Data Engineer at Parimatch Tech (GR8 Tech)

Developed and maintained our core Data Lake service, including transformation strategies, data governance, backfill, cross database synchronization pipelines.
Developed database sql migration processes with alembic for smoother workflow and maintenance. 
Designed and integrated native row level security based on lakeformation data cells filters, enabling regional principals to have granular access. This eliminated the need to support separate tables for regions.
Designed and implemented tableau reporting framework optimization, resulted in 10-12% 30d/90d SLA improvements and 3x reports refreshment time reduction. 60 extracts moved to hyper api.
Provided teams with third party api data integration, security, governance by developing event based lambda services, airflow pipelines, lakeformation permissions.
Mentored interns, contributing to the growth and development of the team.
Skills: Gitlab CI/CD, Apache Airflow, AWS (S3, Athena, Glue, Lambda, SNS/SQS, IAM, Lakeformation, RDS, SSM, ECR), Tableau, PostgreSQL, IaaC Terraform, Spark.
Do not expect on duty calls
Position: Data Engineer
Category: Data Engineer
Experience: 3 years | English: upper

Honors and Awards:
• Start-up Initiatives 2020 – Winner with “Breast cancer detection using AI” project
• Open Data Chellenge 2019 – 2nd place in Public Sector with “Online booking application”
• UzAuto Market Start-up platform – 2nd place with “Breast cancer detection using AI” project
DATA ENGINEER at Richard Fleischman and Associates Inc (RFA) / Applied Labs LLC

• Worked on building and designing ELT/ETL with various data sources, third party APIs, databases and data warehouses
• Built and maintained 20+ data connectors (extractor / loader) using Singer.io python framework
• Deployed data integration pipelines on Meltano, Singerly.co and Pipelinewise
• Maintained Snowflake Cloud Data Warehouse (SQL, databases, schemas, tables, views, stages, snowpipe, data sharing, warehouse, roles and organization)
• Automated serverless tasks using Azure Function and AWS Lambda Function
• Created data modelling and data transformations on DBT
• Scheduled data pipelines through Airflow
• Created web scraper and automation with Selenium
• Built Docker image, workflow using Terraform and used AWS Glue for batch processing
• Worked on big data components using Kinesis Analytics, Kafka, and Spark for streaming data
Tech stack: Python, Snowflake, SQL, Singer.io framework, Meltano, Pipelinewise, Singerly.co, Airflow, AWS (S3, Lambda, Kinesis, Glue), Azure (blob storage, function, container, devops), PostgreSQL, MSSQL, MySQL, SQLite, DBT, Docker, Spark, Kafka, GitHub with CI/CD action, Postman, Power BI, PowerShell, Linux, Windows, Teams, Zoom, JIRA


SOFTWARE ENGINEER at Turin Polytechnic University in Tashkent

• Involved on project “Breast cancer detection using Artificial Intelligence”
• Involved on project “Face recognition, identification and verification system”
Tech stack: Python (Django framework), Django REST, SQLite, OpenCV, Keras with Tensorflow backend, Deep Learning, U-Net, dlib, CUDA, Linux
I am considering only remote work or with relocation option.
Position: Data Engineer
Category: Data Engineer
Experience: 7 years | English: upper


Data Engineer; Company: Unibank; January 2023-Present
- Developed scalable databases capable of ETL, ELT and EL processes using PL/SQL and Apache Spark, S3, Python.
- Estimated the workflow and increased the efficiency of data pipelines that process over 20 TB of data daily.
- Used Apache Nifi, Kafka and created DAGs on Airflow to build ETL solutions.
- Developed the SQL server databases system in order to maximize performance benefits for clients.
- Assisted senior-level Data Scientists in the design of ETL processes, in SSIS packages.
- Utilized Postgre and Oracle to create SQL databases that harvests data from a variety of sources.
- Developed, deployed, and maintained data services.
- Transformed data from XML and JSON to structured data.
- Worked closely with stakeholders across departments to design, build and deploy various initiatives within the data platform

BI Engineer; Company: Unibank; January 2021-January 2023
- In-depth understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving
- Experience in creating reports, dashboards using IBM Cognos, Power BI, Tableau, SQL Server Reporting Services (SSRS) and Excel (VBA)
- Advanced experience working with big and complex data sets within large organizations including languages SQL, PL/SQL
- Applying best practices and modern techniques to improve existing schemas for performance and efficiency
- Experience in daily, monthly, and yearly regulative reports
- Exceeded goals on 3+ projects by modifying extensive data into actionable business insights via data visualization and analysis
- Building and maintaining data warehouses, data marts and data lakes that support reporting, analytics, and other business intelligence needs.
- Working with the data governance teams to develop and implement data policies, standards, and procedures to endure data quality, security, and privacy.

Financial Specialist; Company: Unibank; January 2018-January 2021
- Developed and managed budgets, created financial forecasts.
Analyzed financial data, prepared financial reports, and presented findings to management.
- Created Excel automatic reports and dashboards for payroll.
- Performed a comprehensive analysis of the effects of financial issues like company debt and other financial structures.
- Worked in SQL and Excel (VBA).
- Planned strategies of departments and calculated bonuses for employees annual, monthly, and quarterly.
Position: Data Engineer
Category: Data Engineer
Experience: 0.5 years | English: upper

Finalist of INT20H Data Science hackathon (as a team lead) - 4th place
Data Engineer / Data Analyst
April 2023 - Present
• Developing pipelines to extract data from various APIs, websites, and CRM systems.
• Designing interactive dashboards that offer clear and concise visualizations of data.
• Working with AWS infrastructure, including VPC, EC2, RDS, S3 and Lambda.
• Hosted technical interviews for new candidates.

Trainee DataOps Engineer
October 2022 -April 2023
• Part of the SRE stream (FinOps team)
• Сreated a complex script to transfer data between various Amazon services, including Athena, S3, and RDS.
• Designed a sophisticated Data Warehouse utilizing Python, FastAPI, PostgreSQL, and Kafka.
• Launched APIs using AWS services such as RDS, S3, and EC2.
• Was one of the developers of a complex Data Platform connected to Airflow and various AWS services, which runs efficiently in ECS.
Position: Data Engineer
Category: Data Engineer
Experience: 4 years | English: upper

- I am a certified AWS solution architect. 
- I have experience with getting data from primary and secondary sources, converting them to usable format, analysis and build dashboards. 
- I have have experience with deploying and maintaining infrastructure using AWS, terraform and Kubernetes. 
- I have worked on analyzing data and create an API
- I have experience with setting up CI/CD, github Actions
Data Engineer, Data Analyst, Devops Engineer 

- Certified AWS solution Architect (Verification number: LSR768SJPBRE1LC1)
- Design, implement and maintain infrastructure for the team using AWS services, Kubernetes and terraform
- Design, implement and deploy API’s
- Design and integrate consumer data analytics visuals onto projects.
- Mining data from primary and secondary sources and transforming the data into a usable format
- Visualizing data for faster and better management decisions. Preparing dashboard and API’s
- Work on packaging the product
- Design, develop and maintaining ETL solutions
- Setting up data pipelines to collect and move data, designing and implementing data storage solutions, and setting up and maintaining data processing tools
- Setting up CI/CD
- Setting up monitoring using Prometheus and Grafana
- Optimizing SQL functions and stored procedures
- Worked with Agile methodologies
- Worked on AWS cloud provider
- Developing algorithms to process data
I hope to utilize my skills, gain new experiences, and contribute to the company's goals while also growing professionally.