lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data & Digital Associate Director | Head of PO
Category: Product Manager
Experience: 11 years | English: fluent

- Transforming a Telco company into a Techco company
- Supervision of Data & Digital Area with more than 100 people
- Directly leading a Data Department team of 40 people
- Developing an Adtech strategy for largest telco company in Caucasus region
- Overview of 2 super apps for 2 separate mobile operators which serve 5M active base
- Initiated Data Infrastructure Transformation
- Developed a Strategy and lead Big Data Monetization tribe and achieved 1.3M$ as a result of external data monetization project
- Overviewed the development of Machine Learning Churn Prediction and Customer Profiling which resulted in 770k$ additional gross revenue
- Overviewed the development of Network Optimization use cases which helped to save 130k$ in the first 6 months after launch
Experienced (>10 years) Associate Data & Digital Director & Strategic Advisor to CDDO in biggest Telco operations in Caucasus region, leading a team of more than 40 people (overviewing the whole area with over 100 people). More than 10 years of experience across Telco, Oil & Gas, E-commerce, Marketing, Retail & Banking. Currently managing 20M$ Data Platform & Infrastructure Transformation.
Position: Data Driven Internet Marketer | PPC Expert in Google Ads, Youtube, Bing, Yandex, LinkedIn
Category: Marketing
Experience: 5 years | English: fluent

I love working with unique products and services, creating demand, and covering it with high-quality ads and marketing strategies, scaling the business while maintaining and increasing profitability. 

Managed more than 90 projects with different budgets scales from 100$ to 10K$+ Monthly Account Spends in Geographic directions such as USA, Canada, Europe, Russia, Ukraine, India, etc - WORLDWIDE campaigns aimed at increasing profitability and attracting new leads and target traffic.
Experience with advertising for NPO (Non-profit organizations).
Data-Driven Internet Marketing with 5+ years of experience building a digital-first culture at different scale international companies.
Creating and execution of marketing strategies, sales funnels, PPC and SEM as core skills.
An environment of growth, cooperation, and respect for each other's skills and experience.
Position: Data/DWH Engineer
Category: Data Engineer
Experience: 3 years | English: upper


More than 5 years of overall experience in data field. Worked with DWH/Data Lake/DB, dimensional data modeling, ETL/LTE, analytics. Have experience in heterogeneous DB migrations from on prem to cloud, writing complex SQL, getting and transformation data with Python, report development.
I'm looking for a long-term project with opportunity of professional growth, consolidation and deepen my skills as Data Engineer, focusing on work with Python, SQL, ETL, cloud technologies. DON'T CONSIDER reporting and data analyst positions.
Position: data egineer,db developer, dba (middle, senior,team lead), t-sql,clouds
Category: SQL
Experience: 11 years | English: intermediate


Database : ms sql, oracle, mysql mariadb, postgresql,sqlite,db2
( create tables, indexes, join between tables ,stored function procedure, view) query, reports
clouds: azure,aws (datalike, data delte lake,databriks,dbt,pipeline)
C# console and desktop application
python,pyspark
mongodb
hadoop,spark
Web : node (express)  react(html css javascript)
OS: Linux, Windows, FreeBSD.
Position: Data encoder/data entry, Data engineer
Category: Data Analyst
Experience: 2 years | English: fluent


DATA ENCODER 

Data input and manipulation in excel spread
sheets and access databases.
- Ensuring the data protection act is adhered to all
times.
-Ensuring the safety and security of the
company's data systems.
-Occasionally carrying out various administration
tasks(scanning,printing,etc)

ENGAGMENT SPECIALIST
-Follow up with a new service provider and
promptly react to any inquiries.
-Create a new marketing strategy based on
customer perspective.
-Perform daily activity as assigned by operation
team lead.
-Run overall process which including onboarding
a service provider and accepting calls from
regular customers and directing them to the
appropriate service providers, as well as
collecting and analyzing any feed back.
HR ASSISTANT
Best industrial park,Hawassa
-Provide clerical support for all employees.
-Maintaining records & information.
-Substantiates applicant's skills by administering
and scoring tests.
-Schedule examinations by coordinating
appointments

     So, I am  successful data entry specialist with an enormous knowledge in
1,  invoicing and inventory systems
2, Word processing
3, Document storage and cloud based systems

Possessed by a lofty skill of correcting  deficiencies  and errors of different data with full contemplation and recreate the  compatibility within the very least time. I am confined  with marvelous experiences in the data entry work center.
Position: Data Engeer, Data Analyst, Data Scientyst
Category: Data Science
Experience: 4 years | English: intermediate


DELTA-M, Mar 2019 – Oct 2019 (BA & SQL Developer)
I have been working at DeltaM, a business & data analyst, working on the development and automation of reports on the work of a certain sector in the company. I was involved in the implementation of the CRM system and automatic telephony in the company. I studied the work of the company and based on that I created a technical task for tuning the CRM system and automatic telephony according to the model of the company. Successfully implemented CRM and telephony in the company, which led to increased productivity. I also wrote tickets to the Developer describing the additional functionality that needed to be developed to improve the system.

COBIT-SOLUTION, Oct 2019 – Jun 2020 (Data Analyst & Data Scientist)
I have been working as a date analyst. My responsibilities include parsing data, data model building and visualization. I work in digital department, we carry out analysis of marketing activities, evaluate the most effective areas of promotion, conduct RFM and factor analyses. 2-3 projects are assigned to each employee, the employee is obliged to develop and maintain dashboards, and the correctness of receiving data is also necessary. To get the data use Python, to visualization use Power BI.

RobymGood, Jun 2020 – Dec 2020 (Digital Marketing Analyst)
I have been working as a digital marketing analyst. My responsibilities include automate marketing process, a parsing data, data model building and visualization. I work in analytics; we carry out analysis of marketing activities, evaluate the most effective areas of promotion, conduct RFM and factor analyses. Traffic and cost data are obtained from Google advertising and Facebook, sales and activity data from CRM system. To get the data use Python, to visualization use Google Data Studio.

SOS-Credit, Dec 2020 – Jul 2021 (Risk Analyst & Data Scientist)
I have been working as a Risk Analyst & Data Scientist. My responsibilities include building scoring models of customer default and building reports on the company's activities based on data accounting systems, building reports in the graphene visualization system.

Questera, Jul 2021 – today (Python developer & Data Scientist)
Last time I have been working as a Python developer & Data Scientist. My responsibilities include building and developing recommendation models for customer, develop models of risk and implement it in recommendation, modeling statistical behavior for make decision about useful models.
Position: Data engeineer (Scraping)
Category: Python
Experience: 4 years | English: fluent

I write excellent code. Come up with solution that scale. I like my production monitored and running smoothly.
Python developer with a profound expertise in data acquisition and building scalable and robust systems. Hands-on experience of successful bypassing of Akamai, PerimeterX, Cloudflare, Imperva (Distil) in high-load production environment.
Position: Data Engeneer
Category: Data Science
Experience: 5 years | English: intermediate

My last successful project - churn. 
Customers to whom the communication was sent made purchases worth 80 million. Margin - 10%.
I have experience in three huge area:
Retail.
- Churn project - created a model for identification of churn clients and their further retention using A/B test
- Telegram Bot - built the bot with automatized internal business reports 
- Clients classification project - created a prediction model for clients' loyalty to specific brands
Bank.
- Matrix of B2B clients - built the prediction matrix for increasing internal products sales to B2B based on internal and external data. Used parsing of open sources (taxes, national statistics data) to enhance the accuracy
- A/B tests
Telecommunication.
- Geo Analytics - Identified & Mapped new potential clients & revenue
streams using parsing of legal entities geocoordinates from open sources
Position: Data Engeneer
Category: Data Engineer
Experience: 2 years | English: upper

Certificates:
- AWS Certified Cloud Practitioner
- Microsoft Certified: Azure Data Engineer Associate
Other projects:
- Developing spatial analytics platform (python, docker, k8s, CI)
- Developing ELT/ETL pipelines (AirFlow, Azure Data Factory, pySpark, AWS, Azure)
- Developing analytics algorithms (python, pySpark/SparkQL)
Project of GIS development for electric distribution grids:
- Supervising the project, vendors and internal team. 
- Developing services and spatial analysis algorithms (docker, k8s, python, java, arcpy, geopandas, django, FastAPI etc.)
- Developing ETL/ELT processes (Airflow, SQL, Azure)
- Creating ad hock reports and analytics (PowerBI, python, ArcGis PRO)
- Developing assets in ArcGis Enterprise (services, Web AppBuilder, webmaps, dashboards)
Project GIS development and implementation for Agriculture (land management):
- Leading the project of development of GIS for Agriculture
- Development of spatial analysis scripts and services (python, arcpy, shapely etc., django)
- Development ETL processes (Ariflow, python, SQL)
- Developing assets in ArcGis Enterprise (services, Web AppBuilder, webmaps, dashboards)
- Developing data marts (Azure, SQL)
Position: data engineer
Category: Python
Experience: 9 years | English: upper

team player in projects with wide technology stack - debugging and refactoring legacy code, researching and developing new features; strong analytic skills
applied math background, Java/Scala,  Postgresql,  Python+R, bash, Linux
wanna work in a professional team, in  projects with tasks that need the deep research activities (data science), mostly server-side / data engineering
Position: data engineer
Category: Data Engineer
Experience: 5 years | English: intermediate


Building and maintaining an organization’s centralized data 
warehouses (on-premises, cloud, and hybrid), performing the 
DataOps role (data-specific workflow automation, logging, 
data profiling), enhancing data quality and reliability.
I am looking for the opportunity to work with an innovative and 
successful company. I look forward to utilizing the experience I have in technology to help the company become even more successful.
Position: data engineer
Category: Data Engineer
Experience: 3 years | English: upper

Designed, built, and supported 20+ data pipelines
Implement Business Intelligence/ETL solutions to integrate disparate data sources 
Collected requirements and reported the progress
Performed source system analysis, data profiling, and design mapping logic between source systems of 15+ plants and data warehouse
Created data extraction, cleansing, and load programs to move data from source systems to data warehouse
Created and presented reports, analyses to executives
Developed scripts for analyzing logs of launched campaigns and incidents 
Developed pipelines for regular cleaning/updating tables in Oracle (using SAS Management Console, SAS Data Integration Studio)
Created CI/CD workflows
Developing scripts using SAS Enterprise Guide for team usage
Installing releases/hot-fixes from our contractor (SAS Institute)
Developing technical reports (using SAS and SQL)
Familiarity with SAS Customer Intelligence Studio and Oracle
Analyzing logs of launched campaigns and incidents (using Python)
Developing jobs for regular cleaning/updating tables in Oracle (using SAS Management Console, SAS Data Integration Studio)
Managing CI/CD workflows (Jenkins, Ansible)
Building and maintenance of data warehouses, data marts (Oracle, Vertica)
Developing ETL-processes using DataStage and SQL
Query optimization with execution plans
Troubleshooting and monitoring of jobs

Software engineer experienced in working across the different stages of the data pipeline, including ingestion, and integration.
I am willing to relocate anywhere globally or continue working remotely
Position: data engineer
Category: Data Engineer
Experience: 11 years | English: fluent


Experienced Data Engineer with more than 10 years of experience in implementing and testing multiple software projects in various domains. Key skills include SQL programming, software integrations and data migration. Strong communication skills, attention to details, team player and very eager to learn new things.
Position: data engineer
Category: Data Engineer
Experience: 2 years | English: fluent


hello there
My name is Erick. I am a junior data engineer with experience in AWS glue,aws EMR, aws athena big data technologies such as pyspark and Hadoop, and both SQL and NOSQL database. Over the years I have been practicing machine learning and am working as a volunteer developer at ivy ltd. Here we are unifying machine learning frameworks. I have been over a long period of time working as a data engineer freelancer at Upwork and fiver where I have been designing and implementing data pipelines for my clients. I have also been migrating databases for my clients from RDBs to dynamoDb.
Position: data engineer
Category: Data Science
Experience: 1.5 years | English: upper


LLC "Data Solutions-BI"
Junior Data Engineer
Dec 2021 - May 2022 (6 month)
I was involved in the design and implementation of data pipelines using ETL and ELT processes. I utilized my expertise in PostgreSQL, Python, and SQL to extract, transform, and load data into data warehouses. I also collaborated with the team to create reports and visualizations for informed business decisions. Additionally, I used BigQuery for large-scale data analysis to support the decision-making process.

Assisted in the design and implementation of data pipelines using ETL and ELT processes.
Worked with PostgreSQL, Python, and SQL to extract, transform, and load data into data warehouses.
Collaborated with the team to create reports and visualizations for business decisions.
Utilized BigQuery for large-scale data analysis.


Integration hub 
Integration Specialist/Data Analyst
May 2022 - Present (10 month)
I was responsible for developing custom transformations and rechecks for clients' data. I assisted in the design and implementation of ETL data pipelines utilizing technologies such as PostgreSQL, Python, and SQL to extract, transform, and load data into data warehouses. Additionally, I collaborated with my team to create reports and visualizations to support informed business decisions. To perform large-scale data analysis, I utilized BigQuery.

Developing custom transformations for clients data.
Developing custom rechecks for clients data.
Assisted in the design and implementation of data pipelines using ETL and ELT processes.
Worked with PostgreSQL, Python, and SQL to extract, transform, and load data into data warehouses.
Collaborated with the team to create reports and visualizations for business decisions.
Utilized BigQuery for large-scale data analysis.
Position: data engineer
Category: Data Engineer
Experience: 1 years | English: upper


Skill Highlights
• Experience in SQL (PostgreSQL, Oracle, MySQL)
• PL/SQL (Procedures, Functions, Packages, Cursors, Triggers)
• Data warehouse design (Kimball , Inmon Approach)
• Have some experience using Python • Manual ETL
• Basic in AWS (S3, Athena, EC2, Redshift )
• PowerBI (reports, DAX basics)
• Upper-Intermediate English level 
• IBM Cognos tools

Experience

BI Developer – December 2021 – October 2022
VEO Worldwide Services 
• Part of a of 5-person team that is responsible for designing and creating data pipelines for company products
Working mostly with IBM services namely: 
• IBM Cognos Analytics (creations, managing and maintaining dashboards, reports)
• IBM Cognos Transformer (creation of a multi-dimensional model: a business presentation of the information in one or more different data sources that share common data)
• IBM Cognos Framework Manager (creation of the business model of metadata derived from one or more data sources)
• IBM Cognos PowerPlay (cubes creation based on a multi-dimensional model)

Education

EPAM Data Engineer internship – June 2021 – September 2021 
• Four months of full-time lab training with lectures and daily tasks.
• Intense training covering all essential tools and Data Engineer practices.
• Data warehouse design (Star schema basics , Dimension and Facts basics, ETL).
• Oracle DB for DWH and ETL (Oracle Join Methods, Partitioning, Merge, PL/SQL).
• Python basics. 
• AWS basics (S3, EC2, Redshift, Athena, DynamoDB, Cloud Formation, Cloud Watch).
• Power BI (reports best practice, DAX basics).
• Working with Jira.
Position: data engineer
Category: Data Engineer
Experience: 4 years | English: upper


Skills
Python, SQL
 HDFS, Git, S3 
English: upper intermediate

Sturtup project under NDA
Role: Python developer
Responsibilities: Add new functionality to API, WebUI, S3 integration, unit testing, load testing, graph storage investigation, bugfixing  

Intellias
Role: Python developer
Responsibilities: Add new functionality to testing framework, modify, support and debug existing framework functionality, investigate and fixing MapReduse tasks failures
Position: Data engineer
Category: Data Engineer
Experience: 1.5 years | English: fluent


1. Internship in IT company as big data engineer during 3 months.
2. Working experience as big data engineer during 6 months. 
3. Working experience - internship as data analyst in the French product company.
4. Working experience as PM, BDM including managing BDMs and teams of specialists (devs, QA) for around 5 years.
5. Experience in writing custom API connectors for PowerBI.
6. Experience in creating the PowerBI and Tableau dashboards.
7. English-fluent both speaking and writing skills, French B2, German - basic, very good in the past.
8. Experience in building ML models (classification and regression), using R, Python, Pandas, numPy, sklearn, etc. for building the models (during education).
9. Experience in data preprocessing/treatement/ ETL using Python.
9. Understanding of development processes of mobile and web applications, general knowledge of server-side architecture
10. Master degree in 1) Management and administration 2) Statistics and data Science 3) information systems 
11. Experience with Azure services, GCP
12. Experience with Azure data factory, Azure function, Kafka, Airflow.
13. Well versed with GIT
Position: Data engineer
Category: Data Engineer
Experience: 8 years | English: upper

Developing data pipeline for biggest Ukrainian food retailer company. (Frontend on OLTP, ETL, DWH modelling, Creating reports)
Modeling and managind central DWH for one of the biggest food delivery company in EU
2014-2016 - Oracle developer (OLTP)
2016-2021 - Oracle data engineer. (ETL - Oracle Data Integrator, DWH - Oracle RMA, Orcale BI, BI publisher)
2021-now - Data Engineer (Amazon Redshirt, Apache Airflow, Glue, DMS, BQ)
Legacy code support
Position: Data engineer
Category: Data Engineer
Experience: 2 years | English: intermediate


2+ years of experience
Main tools: Python, AWS;
DB`s: PostgreSQL, MySQL;

Duties and responsibilities:
• reporting and automation;
• DWH development;
• business process automation;
• analysis and visualization of data for decision making;
• preparation, cleaning and consolidation of data from different systems and sources;
• ETL processing;
• data scraping/parsing;
• api integration;
Position: Data engineer
Category: Data Engineer
Experience: 8 years | English: fluent


7 years of professional expertise in the Information Technology industry;
 Experience in AWS Services: EC2, S3, RDS, IAM, Athena, Lambda, Amazon Aurora, DMS, SCT, Redshift, EMR, Glue,
VPC, ELB, CodeCommit, CodeBuild,… etc;
 Experience in CI/CD (Jenkins, Liquibase, Git, AWS CodeCommit, AWS CodeDeploy, AWS CodeBuild)
 Rich experience in Database/ETL/DWH;
 Amazon Redshift
 AWS Services
 Solid expertise in development for Oracle, PostgreSQL;
 Experience in programming and query languages: Java, Python, SQL, PL/SQL, PL/pgSQL, T-SQL;
 Data integration and ETL, ELT process design (SSIS, ODI);
 Business Intelligence (OBIEE, SSRS);
 Experience in Dimensional Modeling such as star schema, snowflake schema, creating facts, dimensions and
measures;
 Experience in DB heterogeneous/homogeneous migration;
 High level of theoretical knowledge and utilization expertise for the following development methodologies &
techniques: Agile/ Scrum/ Kanban, TDD (Test Driven Development)
Position: Data engineer
Category: Data Engineer
Experience: 6 years | English: upper

- Built mathematical model for the influence of light in the greenhouse on plants growth
- Anomaly detection in radiation data
- Built BI reports for all products metrics
- Built prediction for KPI metrics
- Built ETL pipeline for more than 1TB of average daily traffic
- Built time-series content analysis system
- Built ETL pipeline using AWS and Databricks
- Built API for GitLab commits analyse
- Build ETL pipeline for real-time data analysis of more than 30GB of data
- Created ETL pipeline for web scrapping more than 300k of pharmacies products
- Leading team of data engineers
A highly skilled Data Engineer with focus on Python, Spark, SQL offering a combination of Big Data related skills with more than 6 years of experience in Data manipulation and  modeling. My expertise includes creation of ETL architecture, research of DWH improvement based on cost and performance analysis, software solution suggestion for business goals of customers and building data pipelines from scratch to distributed BI systems.
Position: Data engineer
Category: Data Science
Experience: 5 years | English: fluent

I was developing big data marts, pipelines, ETL processes, high availability architecture(druid with Kafka + monitoring and visualization(Metabase, newRelic, Sumologic). I have experience with AWS, Spark, NiFi custom processors.
Apache Spark Hadoop Hive Linux NiFi Apache Kafka Python Pandas SQL Tableau AWS Git
Position: Data engineer
Category: Data Engineer
Experience: 1 years | English: upper

I have been able to work with a team and have done a great deal of some couple of  works together.
As a data engineer I have been able to make data more easily accessible to the organization.
I used the open source ELT . 
Am a co-worker in the team.
I would want to improve my skills and technology level if am employed by your organization.
To work with individual who are advance than me so I can also improve my skills along the line.