lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Engineer
Category: Data Engineer
Experience: 3 years | English: fluent


Period: June 2022 - Present
Place: Bishkek, Kyrgyzstan
Company name: Key DEV LLC
Position: Junior Back-End Developer
Description:
• Implementation of Python code with assistance from senior developers;
• Refactoring of old Python code to ensure it follows modern principles;
• Identifying and fixing code where bugs have been identified.
Period: May 2021 - January 2022 
Place: Bishkek, Kyrgyzstan
Company name:
Representative Office of the American Center for International Trade Union Solidarity in the Kyrgyz Republic (Solidarity Center)
Position: Monitoring and Evaluation Specialist
Description:
• Participation in the development of the work plan for the supervised area (monitoring and evaluation);
• Planning and development of research design
and methodology;
• Compiling monitoring and evaluation
requirements for regional implementers of program activities, as well as partner organizations;
• Coordination of monitoring and evaluation activities of regional projects and partner organizations, provision of technical assistance; • Coordination of research, analysis of the obtained data;
• Participation in the preparation of reports for donors.
Period: February 2019 – May 2021 
Place: Bishkek, Kyrgyzstan
Company name:
Research and consulting company “M-Vector”
Position:
Project Manager\Analyst at Social Research Department
Description:
• Management of international and local social research projects;
• Preparation of commercial proposals, estimation of budgets and preparation of work schedules;
• Development of research methodology and design,
 sample,M&E indicators, and tools
• Building and maintaining relationships with a range of key clients;
• Ensuring appropriate, accurate, timely and efficient collection of all M&E indicators data and analysis;
• Data processing and analysis, preparation
and formatting of spreadsheets, annexes, and graphs;
• Training and directly managing all field staff
and data collection department to ensure accuracy and relevance of both quantitative
and qualitative indicators;
• Development of analytic reports according to main findings of M&E, with main conclusions and recommendations;
• Provision of ongoing feedback to projects and programme.
Position: Data Engineer
Category: Data Engineer
Experience: 2 years | English: upper


Philip Morris International July 2021 - Present
Position: Data engineer
My duties:
Development and support of solutions for business process automation (mulesoft applications, ssis packages, aws glue, lambda, c # interfaces, python interfaces)
Working with databases MS SQL, PostgreSQL, S3 bucket. Their support, writing procedures, creating architectures for projects
Participating in migration of our on premise servers to cloud (AWS, Terraform, S3, RDS, Glue, Lambda, IAM)

Highers.co December 2020 - March 2021
Position: Software developer
Technology stack: 
Web platform : NodeJS/TypeScript ,React,  MongoDB, Docker
Bot : Python, flask, pythelegram-bot-api, PostgreSQL
My duties:
Development of architecture and support of the bot telegram platform in Python
NodeJS-based server support
Development and implementation of new microservices using Docker and Docker-compose
Participate in project migration from NodeJS to TypeScript
Position: Data Engineer
Category: Data Engineer
Experience: 2.5 years | English: upper


Philip Morris Ukraine
Date:			January 2023 – April 2023
Role: 			I was a Data engineer at a tobacco company
Responsibilities:
-	creating and maintaining data pipelines;
-	processes automating;
-	optimizing data delivery;
-	working with databases;
-	integrations with 3rd-party APIs;
-	integrations with different web-services
Technologies: 	Python, Snowflake, AWS (Redshift, S3, EC2, Lambda), Matillion, PostgreSQL, MS SQL, SQL Server, Confluence, Salesforce, Jira, SharePoint

Energy 365
Date:			December 2021 – October 2022
Role: 			I was a Data engineer at an energy trading company (gas and electricity)
Responsibilities:
-	creating and maintaining data pipelines;
-	processes automating;
-	optimizing data delivery;
-	working with databases;
-	integrations with 3rd-party APIs;
-	integrations with different web-services
Technologies: 	Python, HTML, JS, Django, PostgreSQL, Airflow, Pandas, NumPy, Beautiful Soup, Selenium, WSDL, SOAP, PowerBI, MS Office

Freelance
Date:			June 2020 - December 2021		
Role:			I was a Python developer with varying tasks.
Responsibilities:
-	Web-site creation;
-	Bot creation (telegram and trade);
-	Data collecting and representing through scraping and APIs;
-	Creating APIs;
-	Implementation of new features;
-	Development of new and maintenance of existing web application features;
-	Product support and documentation maintenance;
-	Deploying to AWS and Heroku
Technologies: 	Python, HTML, CSS, Beautiful Soup, Scrapy, Selenium, Pandas, NumPy, SQLite, MySQL, MongoDM, JavaScript, AWS, Heroku, Docker, K8s, GIT

Domlux LLC
Date:			June 2019 - May 2020		
Role: 			I was a Director at a real estate building company
Responsibilities:
-	search of tenders for participation;
-	collection of a package of documents and participation in the auction;
-	analysis and control of work performance;
-	negotiations with the client and solving various issues
Technologies: 	1C, AVK, MS Office, AutoCAD
Position: Data Engineer
Category: Data Engineer
Experience: 4 years | English: upper

Several projects developed start to end: 
- Brand/product integrity technologies; 
- Support of current systems by updates according to user requirements; 
- Development of analytical tools to track deviation from business objectives and means to achieve targets.
Playwing Ukraine – Power BI Team Lead
2022 – now
 Developers supervision 
 Participation in system architecture and capacity planning 
 Database: 
- Database architecture 
- Development of SP/Triggers
- Resource optimizatio (index, aggregations, etc). 
 Reporting: 
- Reviewing and refactoring datasets
- Development of report requirements with business parties 
- Reviewing and refactoring reports, optimizing designs
-------------------------------------
Playwing Ukraine – Power BI Engineer 
2021 – 2022
 Formulating requirements to SQL data structures used for reporting 
 Development of datasets/dataflows for Power BI reports 
 Requirements collection & preparation for report development
 Development of reports for end-user
-------------------------------------
Philip Morris Ukraine – Process Engineer
2018 – 2021
Manufacturing performance analysis; Performance improvement; Root-cause determination and analysis; Project management and implementation; Power BI Reporting development; Business processes & operation instructions development.  
-------------------------------------
Philip Morris Ukraine – Production analyst
2017 – 2018
Manufacturing data analysis; Excel reports development (Power Pivot based); Data verification and validation; Ensuring process adherence to standards. 
-------------------------------------
Philip Morris Ukraine – OPS planning analyst.
2017 – 2017
Cross-departmental analysis of KPI’s; Analysis and planning of
production equipment capacity; Statistical analysis for problem
areas identification; Acquiring data from primary or secondary
data sources and maintaining databases.
Participation in project teams, get deeper experience and understanding of how things done in IT industry, development of weak skills, using strengths to boost business results/build customer value.
Position: Data Engineer
Category: SQL
Experience: 3 years | English: upper


PL/SQL DEVELOPER
Allianz Technology Thailand
March 2021 - October 2022
support SICAR and Speeder application by using Oracle Database and SAP BO
Develop ETL project using Pentaho
Migrate ETL flow from Kettle 2.5.2 to Pentaho 9.2

ORACLE DATA INTEGRATOR
Accenture Thailand
December 2020 – February 2021
Experience with Oracle 12c databases
Analyzes the needs and requirements of users of existing and proposed database systems and develops technical, structural and organizational
Expertise in transform and loading (ETL) using various tools such as SQL server and MobaXterm
Position: Data Engineer
Category: DevOps
Experience: 1 years | English: upper


- Preparing, deploying and destroying VPC, VM instances via IaC tools (Terraform)
- Work with IAM service accounts and Cloud Storage buckets 
- Permissions IAM management 
- Terraform infrastructure creation and optimization 
- Building a VPN between Google Cloud and AWS with Terraform
- Creating a Cloud SQL and Modular Load Balancer with Terraform (Regional Load Balancer)
- Creating CI/CD pipelines at the GCP platform
- Creating pipelines with Data Fusion and BigQuery
- Creating Prometheus alerts and Grafana dashboards visualization
Work with Cloud infrastructure - GCP
Position: Data Engineer
Category: Data Engineer
Experience: 2 years | English: fluent


Professional Experience

Data Engineer & Mentor at Making Science • Sweeft, July 2021-Present

- Developed an analytical and visualization platform for automatically ingesting data to and from multiple marketing sources.
- Designed, developed, built, deployed and migrated existing numerous and reusable data pipelines using serverless and serverful technologies on Google Cloud Platform, resulting in a 50% reduction in data processing time and costs.
- Developed and maintained Data Lakes and Warehouses on Google Cloud Platform.
- Utilized best practices to support continuous process automation for data ingestion and data pipeline workflows.
- Developed reusable CI/CD workflows and IAC for data pipelines using Terraform and Cloud Build.
- Continually explored new technologies in an effort to always grow and uncover better ways to solve problems.
- Worked closely with stakeholders across departments to design, build and deploy various initiatives within the data platform
- Mentored interns aiming to become Data Engineers.

Technologies Used:
- Apache Spark(PySpark) on Dataproc
- Apache Beam on Dataflow
- Docker
- Cloud Build
- Git
- Python
- Bash
- BigQuery
- Firestore
- PostgreSQL
- Jupyter Notebooks
- pytest
- Terraform
- Airflow(Composer)
- FastAPI
- Cloud Pub/Sub
- Cloud Functions
- Cloud Run
- Cloud Workflows
- Cloud Storage


Personal Projects

ISS Satelite

- Built an on-premise ELT pipeline from a REST API providing real-time data about the ISS satellite.
- Designed PSA, Data Warehouse and Data Marts in PostgreSQL with read replicas using cross-database real-time writing.
- Used Apache Airflow for batch processes along with Redis for caching the latest data for the satellite.

Air Quality, Weather and Mortality Data Insights

-Collected continuously updated air quality, weather and mortality data from public OpenAQ, NCEI CDO and CDC sources
- Designed a Data Warehousing(Data Vault 2.0) solution and deployed the project on Google Cloud Platform entirely using Terraform and Cloud Build CI/CD.
- Developed ETL pipelines in Apache Spark(Dataproc) and Apache Beam(Dataflow), orchestrated by Airflow(Composer).
- Enriched the data and filled missing spots using various algorithms and interpolation techniques such as IDW and RBF.
- Built a presentation layer with visualizations and analysis.
Position: Data Engineer
Category: Data Engineer
Experience: 1.5 years | English: upper


Proffiz, remote – Data Scientist/ML Engineer
January 2022 – February 2023
As a member of a cross-functional team, I contributed to the development of various solutions aimed at improving business outcomes, including strategies to enhance user retention rates and engagement.
Projects:
•	User behavior analysis
•	Life-time value analysis

I am looking for a suitable job. While working as a Data Scientist, I realized that I am more interested in what happens before data comes into my hands, rather than the process of training models and building various metrics. That's why I decided to switch to Data Engineering. Right now, I am putting maximum effort into gaining as much new and high-quality knowledge as possible. Moreover, this job aligns quite well with my expectations in terms of the knowledge stack and tasks that await me.
Position: Data Engineer
Category: Data Engineer
Experience: 6 years | English: upper


Project1 - CLIX-Imc learning management system. Here my responsibility was:
Tools: Oracle database 11g, CLIX

Installation and Configuration
Analyzing system performance
Clix database administration 
Tuning database performance

Project2 - Central Bank of Azerbaijan Analytical and Statistical Reporting System.
Tools: Oracle Database 11g/12c, Oracle Data Integrator 11g/12c, Oracle Data Integrator 11g/12c, Oracle Weblogic server 11g/12c, TimesTen 11 in memory database

Installation and Configuration Oracle Database
Installation and Configuration Oracle Business Intelligence 11g/12c
Installing Oracle Data Integrator
Integrating Data Sources
Data Transformation, Data Control and Data Quality
Creating ETL Packages, procedures and interfaces
Tuning SQL Queries 
Analyzing and Architecting Data Warehouse Database
Analyzing Source Data Models
Creating Fact and Dimension structure.
Star and Snowflake schema modelling 
Developing analysis and analytic reports in Oracle Business Intelligence
Creating Dashboards
Developing static BI Publisher reports
Applying formulas to reports
Tuning analysis and analytical reports
Defining Row-level security in Oracle Business Intelligence
Oracle Database Administration and Troubleshooting 
Partitioning and Indexing tables
Oracle Data Integrator Administration and Troubleshooting
Automation and Scheduling Packages, Procedures and Interfaces
Oracle Business Intelligence Administration and Troubleshooting
Creating Users, Groups and Application Roles in WebLogic server

Project3 -    Ministry of Finance Application reporting module
Tools: Oracle Database 11g/12c, Oracle Data Integrator 11g/12c, Oracle Data Integrator 11g/12c, Oracle Weblogic server 11g/12c

Same as in Project2
Integrating FARABI (app) with OBIEE 11g


Project4 - Kyrgyzstan Republic Ministry of Taxes Reporting Module
Tools: MS Sql Server, SSIS, Oracle Business Intelligence 11g/12c

Analyzing and Architecting Data Warehouse Database
Creating Fact and Dimension structure.
Star and Snowflake schema modelling
Creating Dashboards, Analytic and Static reports
Position: Data Engineer
Category: Data Engineer
Experience: 1.5 years | English: intermediate


- Project #1
Translating and implementing commercial requirements into queries to database, collection and clear the necessary data.
Implementing the logic of transforming data and forming the final result that are published to a visualization tool.
Optimizing the existing queries.
Writing the logic widgets on Javascript for visualization a received information.
tech: PostgreSQL, Google Cloud SQL, Amazon RDS, Javascript

- Project #2
Migrating the databases and managing the database.
Designing, building, maintaining data pipelines to migrate and transform data.
Tracking pipelines stability and ETL testing.
Creating indexes for faster retrieval of the information and enhance the database performance.
Building database schemas, tables, procedures and functions.
tech: MS SQL, Oracle, Azure Data Factory, Azure Storage/Data Lake, Azure SQL, Azure Function App (Python), Bicep (ARM templates)

- Project #3 (domain: pharmacy management system)
Building Data Warehouse for gather data from across the organization.
Creating ETL/ELT code to populate the Data Warehouse.
Creating Spark jobs for data transformation and aggregation.
Creating Airflow DAG to drive ETL/ETL code.
Creating merge and purge functions.
Working on teams operating under an Agile Scrum delivery methodology.
tech: PySpark, Spark Streaming, Kafka, Airflow, PostgreSQL, ADLS, Docker, K8s, Grafana, Liquibase, Jaspersoft
Data Engineering tasks and tech. Focusing on the cloud products
Position: Data Engineer
Category: Data Engineer
Experience: 2 years | English: upper


Project:
Bacardi
Implementation of integration layer on Azure Stack for big retail client. The project was split into 2 parts: initial and incremental data loads: OLTP database -> SAP Gigya -> SFMC
Tech stack: TypeScript, Python, Azure Functions, EventHub, BlobStorage, SQL.

Project:
NDA
Development and maintaining multiple data-pipelines on GCP stack
Tech stack: Spark, Java, Dataproc, Pub/Sub, Cloud Storage.

Project:
NDA
Improving searching experience using ML/non-ML techniques for popular E-Commerce Solution. Working in close cooperation with Data Science team to support machine learning SDLC including feature engineering for ML models.
Tech stack: Java, Kotlin, Spring Boot, Python, AWS, ElasticSearch, Kubernetes, Kafka, Presto, Apache Spark, Redis, PostgreSQL, gitlab-ci, NewRelic, Splunk, scikit-learn.

Project:
OBE, NDC
Worked on Online Booking Engine and adjoined services for Ailines & Tourist services providers. Implemented new microservices, integrated with 3-part systems, development of deployment scripts and infrastructure, bug fixes.
Tech stack: Java, Kotlin, Spring Boot, AWS, ELK stack, PostgresSQL, MongoDB.

Project:
Oioni
Worked in a small team, consisted only of Lead Engineer and CTO on new features implementation, bug-fixing, docker scripts preparation for project in a beauty services domain.
Tech stack: Java, Spring Boot, Spring Data, MySQL, Docker.
Interesting project
Modern technology stack
Good management
Grow professionally
Position: Data Engineer
Category: Data Engineer
Experience: 4 years | English: fluent


* Project: On-premise migration to Cloud (using Azure Synapse Analytics)
Building Data lakes, Data warehouses architecture, and ETL solutions;
Used Slowly Changed Dimensions technique to build customer profile;
Experience in building ETL processes, understanding how to test them and check data integrity;
Experience with Azure Synapse Analytics, building ETL Pipelines, orchestration, DataMarts and Data Layers;
SQL query optimization;
Azure SQL DWH, Azure SQL managed Instance;

* Project: Teradata to AWS S3 migration
Building Data Pipelines with SQL, Python(PySpark);
Using DBT and Airflow to automate data quality testings;
Configuring Spark Cluster based on the needs;
Validation of data processing processes;
Analysis of the quality of data prepared for ETL and BI systems;
Development of complex SQL queries to various databases to check the quality of data and the results of their processing;
Databricks, Spark
5000
Position: Data Engineer
Category: Data Engineer
Experience: 2 years | English: fluent


Projects I worked on were related to pricing. My task was to create a data conversion process and develop a calculation engine based on the company's product. Our team used the company's product, which allowed customers to easily generate prices, store their data and use an intuitive and user-friendly interface.

My role in the project was to create complex data transformations to ensure that customer data was properly processed and displayed on the platform. This involved extracting data from a variety of sources, processing the data to clean and standardize it, and transforming it to meet the requirements of the costing engine.

One of the key stages of my work was ensuring the accuracy and reliability of the calculation results, which affected the final product prices. Keeping sensitive customer data and ensuring its privacy and security was an important aspect.

I also actively collaborated with other team members, including developers and analysts, to understand the data requirements and functionality of the product. My work helped to ensure that all data was correctly integrated and displayed on the platform, which allowed users to work conveniently and efficiently with the company's product.
Position: Data Engineer
Category: Data Engineer
Experience: 3 years | English: fluent

Certifications

- ITIL Foundation in IT Service Management
- Oracle SQL Expert
- Oracle PL/SQL Developer Certified Associate (OCA)
- Big Data Modeling and Management
- Systems by University of California, San Diego
- Oracle Advanced PL/SQL Developer Certified Professional (OCP)
- Introduction to Big Data by University of California, San Diego
- Azure Foundations
- Azure Data Foundations
- Azure Data Engineer
**PWC**
• Testing of IT General Controls (ITGCs) for information, billing and telecom
systems
in support of financial statements audit;
• Assessment of IT control effectiveness, application controls within the
systems in
variety industries including Banking, Oil & Gas, Telecommunication;
• Provision of recommendation on IT control effectiveness and optimization
• Pl/SQL code quality analysis
• Database analysis

**Bank Respublika**
• Responsible for the design, development and delivery of changes to the
banks core
applications using a variety of tools including net and Oracle, PL/SQL
Development.
• Provide technology and business expertise to end users and be heavily
involved in the
development strategy.
• Responsible for all phases of the development life-cycle - requirements
specification,
application and database design specification, program code, test plans and implementation scripts.
• Responsible for all Oracle/PL/SQL Development. Guide the development and
support
changes across the banks core applications which are built in a variety of tools
including; Oracle, PL/SQL, TOAD.
• Design reports to meet end user expectations
• Verify reports to ensure the reported data is realistic
• Build full-blown reporting cycle to support decision making
• Provide ongoing guidance, trouble-shooting support, and response to user
questions/problems related to MIS reporting.
• Analyze performance of MIS reports and propose steps to improve their
efficient
work.
• Experience working with banking system FlexCube

**AGBANK**
• Contribution to the entire software development life cycle from initial business
requirements to deployment and production support;
• Answering client support questions via phone and email;
• Design and implement test scenarios and test cases;
• Preparing testing documentation;
• Involvement into the performance testing;
• Production support of banking software;
• Working with multiple database interfaces and familiarity with standard
database
architectures;
• Assistance in testing procedures;
• Testing and inspection results;
• Experience working with banking system TEMENOS T24;
producing high quality and accurate specification documents;
• Experience in the development of system requirements, testing, business
process
analysis and modeling solutions;
• Gathering initial requirements for system optimization
Position: Data Engineer
Category: Python
Experience: 11 years | English: upper

Computer Science courses:
Coursera:
•	Cryptography I Stanford University
•	TensorFlow in Practice Specialization
•	Deep Learning Specialization (deeplearning.ai)
MongoDB University:
•	M101P: MongoDB for developers.
Python: asyncio, aiohttp, Sanic, Flask, WebSockets, RabbitMQ, Pandas, Scrapy.
Databases: Postgres, MongoDB, Redis, ClickHouse.
AI/ML/NLP: Tensorflow.Keras, OpenCV, spaCy.
DevOps skills: Docker, docker-compose, AWS CloudFormation.
AWS: EC2, S3, Lambda, DynamoDB, Route53.
SCM/Tools: Git, Redmine, Jupyter Notebook, Postman.
Experience with third-part API: SalesForce, Zuora, Cloudflare, telegram, Google PlacesAPI.
OS: Windows/FreeBSD/Linux advanced user.
Software development: SDLC, CI/CD.
I am looking for a Data Engineer/Python Software Engineer job in a small company or startup related to AI/ML domain.

Not interested in either Django or Fullstack jobs.