lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Lead Data Engineer
Category: Data Engineer
Experience: 7 years | English: fluent

Have successfully built IT solutions and infrastructures for 10+ companies, varying in size from 5 to 150 employees.
1. Performed data mining and data analysis for Oil&Gas industry.
Stack: python.

2. Built NLP processing algorithm from scratch to enhance marketing SMS conversion (for a telecom).
Managed a team, researched reinforcement learning applications for the same task.
Stack: python, bash, PostgreSQL, Keras, GCP.

3. Built multiple data pipelines and automation routines as a replacement of manual labor performed by 10 employees.
Currently in the process of constructing a fully autonomous system to be integrated in the business. The system has replaced an approximate of 5 employees and covers data exchange and processing, system monitoring and reporting for executives.
Stack: python, GCP, bash, PostgreSQL.

4. Led a team of data scientists and data engineers in one of the top live streaming platforms, to deliver data driven recommendations to the viewers. Included ML models, A/B testing, working with GCP. Stack: BigQuery, Cloud Functions, Dataflow, Container Registry, Cloud Run, App Engine.

5. Developed from scratch adtech solution for an auctions participant to detect fraud. Stack included: Snowflake, ClickHouse, GCP Cloud Run, Cloud Functions, Dataflow.

6. Developed and maintained from scratch an IT division at a commodity trading enterprise, including management of on-premise and cloud-based infrastructure, integration of existing solutions, research and development of ETL pipelines, BI and analytics setup, development of Django-based internal solutions for operational activities. Stack included: Azure AD, Azure Virtual Machines, Azure Power BI, Azure Flexible SQL, GCP Dataflow, GCP Cloud Functions, GCP SQL, GCP Storage, GCP BigQuery, GCP Cloud Run, GCP Domains.
Position: Lead Data Engineer
Category: Lead
Experience: 9 years | English: upper

I've implemented two pretty complex and data intensive projects from the same scratch. Participated in all architecture significant decisions/discussions, hope to have a full end-2-end picture and reasoning behind each of decisions and alternatives.
9 years of commercial development experience, 4 of them in Big Data area. Hands-on experience in R&D, design and implementation of Big Data solutions (last two projects from the same scratch). 

Spending a lot of spare time over reading books and articles about Cloud, Big Data, and other technologies beyond listed in CV. Eventually got interested in making arhitecture “right”. 

Looking for a complex system to be implemented with a big freedom in decision-making. Ability to take part of architect duties and be mentored by experienced architect would be a great plus.
Ideal opportunity is one that allows to gain and improve architecture skills. Greenfield project, lead position with part of architect responsibilities, technical pre-sales, mentoring from experienced architect would be a great plus.
Position: Lead Data Engineer
Category: Lead
Experience: 11 years | English: upper

Successfully accomplished projects:

- to migrate existing banking infrastrucutre from propietary tools to Cloudera Ecosystem (Hadoop, Hive, Spark) and reporting UI. Results: significant cost reduce due to Windows Server and High Power Computing grid decommission.

- creating new data infrastructure for global Fintech holding allowing close to real time reporting of more than 1k KPIs within a very limited budget that included but not limited to: risk analytics, regulatory reporting, marketing automations, top management reports; Results: company volume growth by 600% within 2 years.

- creating & partial migration of infrastructure from Microsoft ecosystem to open source stack to: reduce costs, improve efficiency and concurrency, introduce AI and advanced analytics, improved scalability and automations.
Building end to end Fintech Data and BI solutions (Team/Tech Lead) on top of Microsoft and AWS stack.
- Python (PCAP Certified);
- AWS Aurora, AWS Redshift,  AWS SQS, AWS S3, EC2, Boto3 SDK;
- Microsoft SSAS Tabular modeling, DAX, Power Query (MCSA Certified);
- Microsoft SQL Server 2008-2019, SSIS (MCSA Certified);
- Power BI (both cloud and on premises), SSRS;
- ETL & ELT Development;
- Prefect Orchestation, Docker;
- CI/CD Using TFS (Azure DevOps Server);

- understanding data design principles;
- establishing data processes and pipelines from scratch;
- establishing CI/CD and team as working unit;
- deep dive into domain to understand business operations better and focus on deliverable items leading to increase of income;
Not interested in short term projects.
Preferrable domains are: fintech, trading, gambling, gaming.
Position: Lead Data Engineer
Category: Data Engineer
Experience: 6 years | English: upper


Hard skills (including but not limited):
Python, R 
ETL & ELT
Airflow 
StreamSets
Talend
GCP (GCS, BQ, Firestore, Composer, Dataflow, PubSub, Data Transfer, Dataproc, SM, Cloud Functions, Cloud RUN, VM, Looker)
AWS (S3, Redshift, Lambda, Step functions, EMR, Athena, Glue)
Azure (ADF, Synapse Analytics, Databricks)
Kafka
ClickHouse
BI dev (R shiny app)
Sisense
Power BI
Tableau
Redash
A/B testing (t-test,  ANOVA,  Mann-Whitney,  chi-square  test)
ARIMA, GLM forecasting
KNN 
LGBM 
RDBMS (PostgreSQL, MySQL8, ClickHouseSQL, Standard SQL)
Regex
Position: Lead Data Engineer
Category: Data Engineer
Experience: 7 years | English: fluent


I am a Lead Data Engineer with a strong background in building and optimizing data infrastructure for e-commerce start-ups. With over 7 of experience in the field, I have a proven track record of driving data availability, observability, and efficiency while controlling cloud infrastructure costs. 

In my current role at Accel Club, I have successfully improved the existing data infrastructure by migrating from an external vendor's solution to an in-house made one. This transition has not only increased transparency and reliability but also reduced development time and costs. Additionally, I have focused on enhancing local development and deployment transparency by implementing a CI/CD flow from scratch, leading to improved efficiency and collaboration within the team.

Previously, at Cian, I contributed to the support and improvement of data flows on an on-premise Hadoop cluster. I successfully migrated mass ETL jobs from Hive to Spark, optimizing data processing and leveraging SparkSQL. Furthermore, I developed templated Kafka and custom API ETL jobs, facilitating data integration and supporting the Data Science team in achieving their objectives.

During my tenure at Innotech, I played a vital role in developing business data marts and automating reporting processes for one of the largest banks in Russia. I utilized Hadoop, Spark, and Hive to handle large-scale data processing and analysis. Furthermore, I gained expertise in business and system analysis, providing valuable insights for future development.

At MERLION, I conceptualized and built a Data Vault Enterprise Data Warehouse (EDW) from scratch. I ensured adherence to development guidelines and standards while also mentoring junior data engineers. Additionally, I contributed to the implementation of Apache Airflow for workflow management and utilized Vertica for high-performance data storage and retrieval.

Throughout my career, I have gained expertise in a range of technologies, including Google Cloud Platform, Python, Git, Docker, and SQL. I am skilled in data warehouse architecture, cloud computing, DataOps, and DevOps methodologies. Furthermore, I possess strong proficiency in tools such as Apache Airflow, Apache Spark, Apache Kafka, Grafana, Redis, and Luigi.

Feel free to connect with me to explore opportunities in the field of data engineering, cloud computing, or related domains.
Position: Lead Data Engineer
Category: Data Engineer
Experience: 11 years | English: upper

Implemented DWs with dimensional modeling best practices providing the customers with a reusable data model, well structured for consumption by data analysts, and highly performant.
I have experience in DW development from scratch, leading projects.
Interested in building new solutions, primarily in Snowflake Cloud Data Platform.
Position: Lead Data Engineer
Category: Data Engineer
Experience: 11 years | English: upper


I'm from Minsk, Belarus. But currently, I live in Georgia (temporarily). Open only for positions with relocation to the EU/the UK/the USA/Canada.

Current position and responsibilities:

LEAD DATA ENGINEER
Sep 2021 - Present
Company: iDeals
Reorganization of work with data (transition to Data Mesh), design new architecture and data pipelines for Data and Analytic Platform, work with sensitive data, gathering data from API's using Python and GCP tools.

Previous positions:

SENIOR DATA ENGINEER
Nov 2019 - Sep 2021
Customer: Big European Bank
Project: Data migration from old Oracle DWH into Snowflake using Azure Data Factory, Azure Blob Storage and Apache Airflow.
Responsibilities:
Creation and preparation dashboards in Metabase for monitoring users activities in Snowflake and for monitoring of Snowflake cost allocations;
Work with Snowflake streams and tasks for delta logic maintenance;
Creation of Snowflake tasks for incremental tables storing;
Creation of Snowflake UDF for automatic DDL preparation;
Preparation of Python script for Microsoft CDM data model getting and transformation it in database objects;
Creation custom packages in Python for work with HashiCorp and different sources such as Azure Blob and FTP;
Creation of custom Airflow sensor for checking objects appearance in Azure Blob;
Creation pipelines in ADF for data migration from Oracle into Snowflake; creation pipelines for daily data uploading from Blob into Snowflake;
Development of application in Oracle Apex for collateral management.
Tools:
Snowflake, Azure, ADF, Airflow, Gitlab, CDM, Dataverse, Oracle APEX, Oracle 12c, Jenkins, Docker, Metabase, Metabase API, Nexus PyPi, Python, HashiCorp

TEAM COORDINATOR (Jun 2019 – Nov 2019)

SENIOR DATABASE ENGINEER (Jun 2018 – Nov 2019)

DATABASE ENGINEER (May 2016 – May 2018)

ETL DEVELOPER (Sep 2013 - May 2016)

DATABASE DEVELOPER (Aug 2012 - Aug 2013)

DATABASE DEVELOPER (Jul 2010 - Jul 2012)
Position: Lead Data Engineer
Category: SQL
Experience: 8 years | English: upper

Created CI/CD flow from scratch using Jenkins
optimization of existing logic of objects in database structure
	performance tuning of queries
	building mdx queries (ssas) 
	new development/modifications in SSIS package according to business requests
Would like to work more with new technologies
Position: Lead Data Engineer / Data Architect
Category: Data Engineer
Experience: 8 years | English: fluent

- Professional Cloud Architect, certified by Google Cloud
- Professional Data Engineer, certified by Google Cloud
- skilled in data engineering, technical leadership, web development, backend development
- participated in Software Requirements and Product Architecture creation
- participated in project stuffing
- played a tech lead role
- played team lead role
- experience with major cloud providers: Google Cloud Platform, AWS, Azure
- have experience working with SQL and NoSQL storages
- have experience with CI tools and CI/CD process
- worked at both product and service companies
- worked with Agile methodologies
- worked with different teams from small local (4-5 people) to big distributed ones (80+ people)
Open to positions that involve:
- one-time consultancy, advisory, pre-sales activity
- technical leadership & development
Position: Lead Data Engineer/Data Architect
Category: Data Engineer
Experience: 11 years | English: upper

During one year, designed and developed two business solutions from scratch, taking care of all communications with stakeholders, defining requirements, designing the technical solutions, etc. - all the way to the market.
- Professional Data Engineer, certified by Google Cloud 
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure Data Engineer Associate
- played a tech/team lead role
- designed data processing and data analytics pipelines (BigTable, Google Cloud Dataflow, Apache Spark, Apache Hadoop)
- designed and developed data pipelines from ingestion to insight (Apache Spark, Azure Databricks, Delta Lake)
- participated in Software Requirements and Product Architecture creation, 
- established effective communications between business and tech stakeholders
- experienced in Analytical Data Modeling and Design (DWH, Lakehouse, Streaming Solutions)
- have experience with CI tools and CI/CD process
- proficient in the testing of data pipelines and want to grow in the direction of Data Quality, Data Discovery and Observability - and Data Governance in general.
Position: Lead/Data Researcher
Category: Unity
Experience: 2.5 years | English: intermediate


Wise Engineering 

Oct 2021 - Present

- CRM: HubSpot
- Searching: LinkedIn Sales Navigator, Clutch, Goodfirms.Apollo.io, Crunchbase
- Collecting: GetProspect, SalesQL, Hunter.io, Skrapp, Snov,etc. 
- Other: Linkedin Helper

I work with:
- Market analysis
- Finding new opportunities for growth
- Hands-on project management skills, with experience in running complex multi-mode international projects
- Manage end-to-end project set-up and execution (in-field) with internal or external contractors


International Wealth  - Lead Researcher

Nov 2019 - Jun 2021
Position: Lead Data Science, Deep Learning and Natural Language Processing (NLP)
Category: Data Science
Experience: 7 years | English: upper

As a data scientist and team lead, I have had a leading role in designing and developing a document processing system by using neural networks. As a result, we had to implement it into another project environment. I'm really proud of the results of the work. 

Also, I have a real implementation in product text annotator with AI helper for NER.
I'm Data Scientist/Team Lead with a natural language processing focus (NLP). I have middle/senior skills in Data Science and Machine Learning. 

My stack of technology is Python, Pytorch,  NLP,  NER,  RNN.

About me

I have 20 years of experience in computer science.  Most of the experience is in the field of data processing.
Also, I have senior skills in web development and web advertising, but it's not been my prime interest last few years.

Last 6 years I have constantly worked with Neural Networks and Deep Learning.
Using all my accumulated experience and acquired skills in new clients cases.
Position: Lead Data scientist
Category: Data Science
Experience: 9 years | English: fluent


Developing data science projects from data digestion to production release and monitoring, experience building and growing data science teams from 1 person to up 7.
Position: Lead  Data Scientist
Category: Data Science
Experience: 8 years | English: upper

July 2017 - Now		SoftServe
Position: Data Analyst / Data Scientist
"	Creating innovative and efficient products that address and solve Client's business problems in Retail.
"	Working with alongside business and technical stakeholders to identify solution requirements, business goals, and expected outcome.
"	Appling advanced statistical, data mining and artificial intelligence techniques to design complex analytical solutions, solving difficult problems.
"	Delivering rapid prototypes and proof of concepts that demonstrate real value. Using Shiny R for building demo application and PoC.
"	Analyzing raw business data, drawing conclusions & developing recommendations. Manipulating, cleaning & processing large, complex datasets using Python, R, Spark,… 
"	Building solutions for retail, for example price optimization, recommender systems and profiling customers.
"	Analyzing, finding anomalies and predicting time-series data.
"	Interpreting results of models and showing them using visualization techniques.
Core Competencies:
"	Strategic Thinking: Identifying opportunities in large, rich data sets, creating and implementing data-driven strategies that fuel growth including revenue and profits.
"	Modeling: Design and implement statistical / predictive models and cutting-edge algorithms utilizing diverse sources of data to solve business problems (for example optimize for gross profit, predict demand and price elasticity...). 
"	Analytics: Use statistical methods to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into strategies that drive solving retail problems.
"	Drive Enhancements: Develop tools and reports that help users access and analyze data resulting in higher revenues and margins and a better customer experience.
"	Communications: Capable of turning dry analysis into an exciting story that influences the direction of the business.

Skills and Tools:
"	Statistical Methods: regression models, hypothesis testing and confidence intervals, principal component analysis and dimensionality reduction.
"	Machine Learning Algorithms: classification, regression, clustering, tree based models, feature engineering, ...
"	Deep Learning Algorithms: ANN, CNN, RNN, …
"	Mathematics: theory of probability, statistic, econometrics, mathematical and complex analysis, …
"	Software and Programming Languages: Python (scikit-learn, numpy, scipy, pandas, gensim, keras, tensorflow, …), R, R Shiny.
"	Big Data Technologies: Spark, Hadoop, MapReduce, Azure, AWS.
"	Version control system: Git, SVN.
"	Database: SQL, NoSQL.
Objective: a position of data scientist or data analyst in your company. Providing data-driven, action-oriented solutions to challenging business problems.
Position: Lead Data Scientist
Category: Data Science
Experience: 2 years | English: upper


Data Scientist with a background in banking and freelance work. Developed and implemented predictive models for Customer 360, Churn, and Propensity projects, resulting in improved business
outcomes and enhanced customer targeting.

Conducted comprehensive statistical analysis for doctoral and master's theses as freelancer Data Scientist, demonstrating proficiency in data analysis, modeling, and reporting. I am using various tools such as SPSS Statistis, Python, SQL.

Dedicated to acquiring experience in research and
industry domains. I have published "Log and Execution Trace Analytics System" master project in INISTA 2021 (IEEE Xplore).

Known for being a quick learner, responsible, and collaborative team player
Seeking challenging career opportunities to apply skills and contribute to impactful projects. Open to new prospects that foster personal growth and skill development.
Position: Lead Data Scientist
Category: Data Science
Experience: 8 years | English: fluent


Hello,

I'm a high-skilled Data Scientist with over 8 years of expertise in e-commerce and ad- tech. Prototyping and deploying scalable machine-learning (ML) models to drive product enhancements and boost business results through data-driven insights. Successfully guiding and collaborating with cross-functional teams from concepts to implementations. Operationalized metrics to measure the progress of business areas. Presenting data-backed recommendations to senior VP level.

Proven track record of driving profitability. Published research papers and intellectual property ML patents, awarded with Kaggle medals. Exhibiting deep knowledge and impactful contributions to the ad-tech world.

Expertise in Python, SQL, cloud workflows (GCP), Airflow and various ML libraries, including NumPy, Pandas, Scikit-Learn, Matplotlib, Seaborn, PyTorch, XGBoost, LightGBM, NVIDIA RAPIDS, and many more.

#############################################

I have a permanent residence in Ukraine (посвідка на постійне проживання в Україні). Due to war I left Ukraine for some time but I plan to return back. So I am open to working in Ukraine (no paperwork required; already eligible with FOP).

Thanks for your time and assistance :)
Position: Lead Data Scientist
Category: Data Science
Experience: 7 years | English: fluent

Kaggle Performance Tier: Competitions Expert
•	Santander Customer Transaction Prediction. Apr 2019. Bronze medal
•	Google Analytics Customer Revenue Prediction. Feb 2019. Bronze medal
I’ve built my career in a variety of industries and across multiple functional areas, mostly relevant to data science, analytics, etc. And I sincerely enjoy it.

My specialization: predictive modeling (revenue/demand/sales forecasting, scoring, lead-scoring, propensity models, etc.)

Lead contributor to the development of Automated ML Forecasting Platform.
Star Award 2020 for Innovation at work - for outstanding performance and exceptional commitment.
Lead team of data scientists.

Python: numpy, pandas, sklearn, scipy, statsmodels
ML: sklearn: classical supervised (regression, classification) and unsupervised (cluster analysis) learning
ML frameworks: LightGBM, XGBoost, CatBoost 
Deep learning: Keras, TensorFlow:  CNN, LSTM, BiLSTM, GRU, KerasRegressor/Classifier
NLP: nltk, sklearn: tfidf, ngram; NER: nltk, spacy, stanford-ner, polyglot
time series: decomposition (seasonal_decompose, hpfilter), forecasting (sarima, Holt-Winters, tbats, prophet, LSTM, GRU); R: Holtwinters, tbats, hts (forecasting hierarchical time series)
Distributed Computing: PySpark; mmlspark
Cloud computing: Azure HDInsight, Databricks; Amazon SageMaker
App: Flask, FastAPI, docker, Amazon SageMaker
Position: Lead Data Scientist
Category: Data Science
Experience: 11 years | English: fluent

Product-driven data scientist with 6+ years of experience in machine learning, deep learning, and data analysis, combined with a solid background in software development 12+ years. 
    Led teams and created full pipelines from hypothesis testing, feature collections, and data aggregation, deploying and maintaining ML models in production, with over 30M predictions per day, and 12M USD in revenue per year as well as built MVP and PoC.
    I am passionate about collaborating with result-driven teams to develop remarkable solutions.
Lead Data science department with 12+ Team members
Lead 2-3 projects in parallel as a lead data scientist
Created 20+ MVPs and concepts in different niches like HealthTech, FinTech, AdTech, Legal, Marketing, Sales
Cancer Analysis and Treatment on R
Customer segmentation and LTV,  cross-sale, and recommendation engine
Conversational bot, Intent recognition, Compliance Audit powered by Advanced nlp approach
Time series forecasting and price prediction
High-priority task classification, over 500+ engineers based on their skills and previously solved issues
The product team, Enjoying build cool staff
Position: Lead Data Scientist
Category: Data Science
Experience: 7 years | English: upper

- various improvements in ranking that gave +10% to our KPI metrics
- initiated a matching system development which made it possible to create at least 3 main product features
- implemented continuous development plan process for the Data Science team
Primarily I've been working with a high-load search engine (ranking, personalised search, AB tests). Also have experience with other classic ML tasks, such as text classification, fraud detection, and other NLP tasks using deep learning and classic ML approaches. Building end-to-end pipelines.
For the last two years, I’ve been working as a tech lead, and since that time, I’ve been leading a team of four data scientists.
For now I'm looking for a part-time project, where I can work around 30 hours per week.