lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Bigcommerce | React
Category: JavaScript
Experience: 6 years | English: intermediate

- Extensive experience in e-commerce development and membership in prestigious networks such as BigCommerce and Shopify Experts
 - Successfully executed over 30 e-commerce projects with proven results
 - Expertise in integrating social media and messaging platforms to streamline the client communication process
 - Proficient in developing stable feedback and notification systems to enhance customer experience
 - Created a module to automate collaboration with vendors, saving time and improving overall efficiency
 - Skilled in optimizing business processes to improve overall performance and increase profitability.
Основное:
- Bigcommerce
- Stencil
- Angular >2
- Rx.js
- Linux
Так же работал с:
- socket.io
- firebase
- aws lambda
- aws serverless
- SQL
- Viber API
- mocha
- expect
- pug
- Opportunities for Professional Growth: I expect to have the chance to develop my skills and grow as a professional in the field.

 - Open Communication: I expect to have open and honest discussions with my team about the nuances of developing new features and improving our workflow.

 - Positive Work Environment: I expect to work in a calm and motivating team environment where everyone supports each other and fosters a positive workplace culture.

- Long-Term Stability: I expect the company to offer a long-term contract that provides me with job security and stability for the future.
Position: Big data Analyst, System analyst
Category: Data Analyst
Experience: 7 years | English: fluent


Specialist in data analysis and visualization with 8 years of experience. Projects portfolio in various fields – from financial analysis to CRM user behavior. The main work tool was Excel + PowerPoint.
Driven with desire to work with a large amount of automatically collected data, I learned Python basics, big data analysis libraries and now looking for opportunity to continue my career in Data Science field.

Previos work at Corum Group, Analyst manager
•	Company's 10-year development strategy design (as member of a working group). Performed an in-depth global markets demand analysis, their clustering and selected 3 key ones, for which made a sales forecast 
•	Annual Net Promoter Score research. Implemented results storage in CRM system, which allowed to detect the falsity of some 1st level results by analyzing answers of same people in different years
•	Analytical dashboards design. During the creation of new CRM system, designed and tested dashboards for sales forecasting and monitoring of sales department activity
•	New deals in CRM prioritization. Conducted a win-loss analysis of the deals archive and implemented criteria to start detailed cost and production time calculation only for deals with a high winning probability, which reduced the burden on plants planning departments and reduced average response time
Position: BigData and Highload engineer/architect/techlead/teamlead
Category: Lead
Experience: 11 years | English: upper

Mission-critical performance improvements for data applications.
Innovative PoC development in data/stream processing field.
Created base architectures for project and made architecture evaluations during project life cycle.
Acted as mentor and department establisher for R&D.
Scala, Java, C++, Python, some Rust
BigData and HighLoad (Spark, Hadoop, Impala, Hive2 and low-level optimizations)
Data Governance (Data Lakes, Data Meshes, Lakehouse)
Data Connectivity (e.g. Airbyte) 
Engineer and software architect
Cloud and *nix oriented
Algorithmist
Tech pre-sales
Challenging projects in data engineering and software/cloud architectures.
Possibility to apply algorithmic, data structures and approximates calculations. 
Performance-critical engineering.
Position: Big Data and ML Solutions Architect
Category: Lead
Experience: 10 years | English: fluent


Scaling ML workloads using Apache Spark in cloud
Designing  data and ML pipelines 
Productionizing ML
Fascinating projects in BigData/AI Area
Position: Big Data Architect
Category: Lead
Experience: 11 years | English: upper

With a diverse portfolio of successful short-term projects for customers across multiple business domains and countries, I am a seasoned professional in delivering technical solutions and products. My responsibilities include:
- Architecting and delivering technical projects/products for various business groups
- Designing and implementing robust data platforms and defining data governance policies
- Participating in various pre-sales, discoveries, and assessments
- Designing and implementing Proof of Concepts (PoCs) to evaluate new technologies and methodologies
- Conducting research and suggesting new tool sets and methods to improve data ingestion, data pipelines, storage, and data access in existing customers' data platforms
- Providing expertise in cloud migration to help customers move their data platforms to the cloud.
With a robust set of certifications, I am equipped to tackle complex projects with confidence and precision. I am a three-time AWS certified professional, holding certifications in AWS Certified Solutions Architect – Associate, AWS Certified Data Analytics – Specialty, and AWS Certified Database – Specialty. Additionally, I am a Databricks Certified Associate Developer for Apache Spark 3.0, a Microsoft Certified SQL Server Professional, and an Oracle Certified Associate Java SE 8 Programmer, demonstrating my expertise and versatility in the field

With over a decade of expertise in Data Architecture, Data Integration, and Data Modeling, I bring a wealth of hands-on experience to the table. My skills in designing and implementing Data Warehouses, Data Lakes, and Lakehouses, utilising a range of Big Data tools and solutions, are unparalleled. My extensive experience in business analysis, process analysis, end-user interviews, requirement gathering and refinement, and defining business rules, sets me apart as a leader in the field.
Position: Big Data Architect\Lead
Category: Lead
Experience: 7 years | English: upper

- I am 3x AWS Certified (AWS Certified Solutions Architect – Associate, AWS Certified Data Analytics - Specialty, AWS Certified Database - Specialty) and 2x Databricks Certified (Apache Spark 3.0 Python, Data Engineer Associate), Microsoft Certified (Azure Data Fundamentals) and Python Institute Certified (Associate in Python Programming).
- Worked together with the team of experts in various Data Platform Advisories and Dicoveries as a Big Data Architect.
- According to management and clients' feedbacks - I am always one of the top performers and the brain center of the team.
As a seasoned Data Architect and Tech Lead, I have successfully contributed to numerous discovery and advisory projects, as well as data platform building and validation initiatives. With a strong focus on ETL processes, I have extensive experience in migrating data and applications from a diverse range of sources, including Cloudera/Hortonworks clusters, FTP/sFTP, AWS S3, APIs, and SQL databases, into centralized data lakes and warehouses. Additionally, my background as an Automation Engineer and Python Developer has only added to my technical capabilities and ability to deliver high-quality results.
I am seeking an interesting project, which can be a startup or project in a big established company.
I have background experience with GCP and Azure, but currently want to work only with AWS as the main Cloud Technology.
Opportunity to grow into Data Architect is highly appreciated.
Position: Big Data Architecture Lead/CTO
Category: Lead
Experience: 11 years | English: fluent

I participated in dozens of successful projects big and small, including the experience of selling startups and preparing for an IPO. Example of personal engineering (architectural) achievements (the last five years):
- has developed a new successful product with the use of NLP and ml approaches even before the advent of linguistic corpora in German;
- took part and made a recognized contribution as the team data architect into the start-up, acquired by the deca-unicorn company;
- took part as a data architect into design streaming ETL system to support domain-specific ML-based lead generation and forecasting system of a deca-unicorn company;
- took part as a cross-team dedicated tech lead in the implementation of GAAP/management reporting system of a deca-unicorn company.
For more than fifteen years, I  successfully led complex projects with small and big teams as a cross-team architect, tech lead, engineering lead, managing a wide range of aspects of software development, process, and methodologies.
I am a hands-on technology expert in different verticals and stacks:
Summary
15+ years of working experience in Data Engineering. 
Strong analysis, problem-solving, mathematical, leading, and tutoring skills. 
Ability to quickly understand the project and to work on time and a high level of organization.

Core skills
- Python (Django, Tornado, Flask, SciPy, Scrapy, Dask, luigi, Airflow, Ray)
- Scala (Play, Akka, Spark, ScalaNLP)
- SQL (PostgreSQL/Greenplum, MySQL/MariaDB, Oracle)
- NoSQL (Cassandra, HBase, Redis, Sesame, ElasticSearch, Neo4j, Snowflake)
- ML (scikit-learn, Keras, TensorFlow, PyTorch, Transformers, H2O, Spark ML)
- Lang/systems/clouds: C, С++, Java, Go, Hortonworks Data Platform, Kafka, Hadoop,  Spark, Druid, PrestoDB, Hive, AWS, GCP, Azure.

Domains: big/quick data, hi-load, ML, distributed system architectural design implementation. 
Verticals: finance and payment, realty, automatic control, mobile ads, corporate law, M&A, statistical process control, project management, sales.
Preferable big data/geospatial/ml project (Scala/Python/Go stack) 
Medium-sized or large cross-functional team(s)
Interesting domain and product that addressed the >1B market
Position: Big Data developer
Category: Data Science
Experience: 3 years | English: upper

Master degree in Computer System Analysis, Lviv National University
Key Developer on 2 projects

Implemented workflows using Apache Airflow beginning from 1.03 version. 
Tuning and upgrading spark job. 
Preparing documentation. 
Designed ETLs.


I would like to work more with Data Science algorithms\tasks.
flexible working day
a lot of experience
be a part of communicative and inspiring team


Do NOT want to work only on data analysis.
Position: BigData developer
Category: Java
Experience: 11 years | English: fluent

1. Our team took 5th place(among university teams) on the nordic collegiate programming contest (ncpc) 2012  
2. Framework development
3. Arctic Code Vault Contributor
4. IELTS Academic 6.5
5. AWS Certified Machine Learning – Specialty
ETL design and implementation,
Web services design and implementation,
framework design and implementation
Relocate to USA, Canada, Netherlands, Spaine, Portugal, Costa Rica or neuron net development(machine learning in general also possible). Other propositions can be interesting(especially architect positions, yehhh it's almost joke).
Position: Big Data Developer
Category: Data Engineer
Experience: 7 years | English: fluent

Detected up to 4-5 prod bugs which were running for some time and were reported to regulators. 
Wrote a project from scratch and handed it over to the junior. 
Migrated flows from aws to gcp as per request. 
Fixed and refactored code which was not capable to run on cluster due to list of code issues, so it is running without issues on prod now.
Building the Data Warehouse for one of huge banks, 
Making scala spark ETL transformations on daily weekly monthly yearly basis. 
Optimizing existed flows
Creating source to target flows from scratch.
The entire dev life cycle support: dev, test, build, deploy, resolving prod incidents.
I may help you with refactoring and making the flow running within the cluster if you face issues.
Also, I would like to get more experience with cloud technologies. 
But still considering jobs with an on-premises distribution
Position: Big Data Developer
Category: Python
Experience: 2 years | English: fluent


Creating Environmental Characterization Engine by using Apache Airflow, Docker, Aurora PostgreSQL, AWS API Gateway, AWS Lambda.
Data Warehouse migration to Big Data platform by Airfflow, ETL, AWS Lambda, GraphQL, AWS Athena, PostgreSQL, Jenkins & Python
Configuring Elastic Search and Grafana
Position: Big Data Developer
Category: Scala
Experience: 1 years | English: basic


Have 1+ years working with Java and related technologies:
Spring(Java, Kotlin), Spark, HBase, Hive, Apache Phoenix, Scala.
Develop and implement data pipelines that extracts, transforms and loads data into an information product that helps to inform the organization in reaching strategic goals
Work on ingesting, storing, processing and analyzing large data sets
Interested to deliver efficient solutions for complex problems that enhance life of others around me.
Position: Big Data Developer
Category: Data Engineer
Experience: 3 years | English: upper


Ingesting data into Hadoop. 
Monitoring and creating pipelines.
Develop database schemas and tables.
Maintaining complex T-SQL queries. 
Extracting data from MySQL to Hadoop using Sqoop
Join and aggregate PySpark Data Frames
Working with PySpark RDDs
Transforming PySpark Data Frames
Friendly atmosphere
Position: Big Data Developer
Category: Scala
Experience: 3 years | English: fluent


Java and Big data developer freelancing for 1 year.
I've been working for 1,5 years as Big data developer at Ciklum R&D department with research and outsource projects;
Currently, I am working as a Big data developer at the UK product company (1 year).
I am constantly speaking at technical conferences in Europe as well as in Ukraine.
Interesting tasks, professional development, diverse and friendly team
Position: Big Data Developer
Category: Data Engineer
Experience: 9 years | English: upper


Looking for Big Data projects.

About myself:
- BigData developer with 5+ years of experience in software engineering.
- Production experience with Scala / Java / Kotlin .
- Deep SQL knowledge. Experience working with SQL and NoSQL databases.
- Experience with development of project architecture/technical design.
- Experience of setting up development infrastructure.
- Knowledge of SDLC best practices
- Ability to see the whole picture of a project as well as architectural details of implementation and be aware of everything in a project and resolve all possible issues.
Position: Big Data Developer
Category: Data Engineer
Experience: 5 years | English: upper

Google Certified Cloud Developer (2019 - 2021)
Past projects:

• Enterprise Data Lake
Technologies: Java, Python, AWS (S3, Lambda, SQS, SNS, CloudFormation, MSK), Apache Spark
Databases: MS SQL
Responsibilities:
- Supporting existing ETL pipelines
- Developing reporting tool modules
- Developing data monitoring solution
- Implementing unit tests for application modules

• POC: Enterprise Data Lake / Data Warehouse
Technologies: Python, AWS (S3, Glue, Redshift)
Responsibilities:
- participation in the migration of the existing ETL pipeline to AWS

• Cloud Data Lake / Data Warehouse
Technologies: Python, AWS (Glue, S3, Lambda, API Gateway)
Databases: Amazon Redshift, MS SQL
Responsibilities:
- Developing ETL pipelines
- Implementing unit and integration tests for application modules
- API developing

• Data Lake Application
Technologies: Java 8, Python, AWS, Apache Airflow, Apache Spark, Spring (Core, Data), JUnit, Docker
Databases: Oracle DB, MS SQL, PostgreSQL
Responsibilities:
- Developing application modules;
- Automation of data quality checks
- Implementing unit and integration tests for application modules
- API developing and testing

• Hybrid recommendation system
Technologies: Java 8, Maven, Apache Spark (Core, SQL, ML)
Responsibilities:
- Developing application modules
- Implementing several machine learning recommendation algorithms
- Input data preprocessing and output data persisting algorithms
Preference is given to product companies

The "Big Data Engineer" role is not the same as the "Data Warehouse Engineer" role or "Database Developer" role.
Position: Big Data Developer
Category: Java
Experience: 3 years | English: intermediate

Participation in the development of a non-commercial project
Programming language:Java , SQL
Frameworks: Spring Core, Spring Boot
Build tools:Maven
RDBMS: PostgreSQL
NoSQL: MongoDB
Columnar DB: ClickHouse
Tools: Intellij IDEA
Version control system — Git.
Work experience in a team.
Position: Big Data Developer
Category: Scala
Experience: 7 years | English: upper

I have 7 years of experience with different projects and domains
-Scala
- Spark
- Flink
- Akka
- MongoDB
- SQL
- Scalatest
- ScalaMock
- Jira
- Git
- Scrum
Position: Big Data Developer
Category: SQL
Experience: 2 years | English: intermediate

All projects were special in their own way, but what is most pleasing to me is that I helped large companies optimally store data and accelerate transaction processing
Strong knowledge of Hadoop tools for storing, processing, analyzing and automating ELT / ETL processes. I developed threads for processing transactions of various formats (Json / Xml / FlatFile) received from external systems (file systems, message brokers, etc.) in real time (or via system event / cron). I Designed DB architectures for storing Raw-data as well as logging intermediate stages of transaction processing systems. I set up processes for periodic (incremental) import and complete data transfer from external relational databases to the Hadoop ecosystem. Conducted joint UAT tests with international teams. I have experience in transferring stored procedures from Oracle to MySQL, as well as writing stored procedures using the SQL-92 standard for ETL processes and automating the transfer of data from various sources to Hive. I built reports for data visualization. I conducted training on the customer side after the implementation of projects.
I want to continue to work and develop rapidly in the direction of big data and also work with cloud solutions, such as Amazon Web Services
Position: Big Data Developer / Data Engineer
Category: Data Engineer
Experience: 11 years | English: upper

Certified Azure Data Engineer
Java, Scala, Node Js, Hadoop, DataScience, R, RDBMS, Machine Learning, Functional Programming, MySQL, Linux, HTML,
NO RELOCATION 
B2B only 
Please doublecheck the location
Position: Big Data developer (Lead, Architect), Python
Category: Lead
Experience: 11 years | English: upper

I don't see any troubles to solve your problems!
Client-friendly approach ;)
Cost and performance optimization thinking
Deep background in mathematics (Ph.D. in Mathematics)

Please look on my LinkedIn profile for more details...
OS: Linux, Windows, Docker
DB: MySQL, PostgreSQL, MS SQL, 
Stacks: Big Data, Web Development, Embedded
Cloud: AWS (preferable), Azure
Frameworks: Spark, ExtJS, Django, Zend
Languages: Python, Java, Scala, PHP, Delphi, JavaScript
Others: Kafka, Ambari server, Databricks
I prefer to work with professionals, solve difficult issues and interesting challenges
I don't want to work with beta-customers, which think they're alpha-customers. I just want to keep "human relationships"
Position: Big data engineer
Category: Data Engineer
Experience: 6 years | English: upper

I have experience in civil aviation, tourism, e-comerce, Amazon(Advertising, Sellers centre, Product Advertising), startups and working with machine learning projects
Full Stack developer 
InStandart
June 2020- now
Kherson Region, Ukraine 

Duties :
- full circle of software development - from planning to deployment 
- creation backend using Django and UI using Angular 
- particular DevOps tasks 

Middle Python Developer 
Hotkey
February 2020 - June 2020
Kherson Region, Ukraine 

Duties :
- create and deploy chatbots for Telegramm and Viber and deploy them to Azure
- build and integrate web app into different CRM systems
- build new and rebuild current websites(front and back)
- integrate different payment services into applications and web shops
- create and maintain analytics systems for ip telephony 

Android Developer
Flexen
May 2019 – December 2020
Kherson Region, Ukraine

Duties:
- creating UI interface in collaborating with designer and customer
- collaborating with backend developers
- planning application architecture and task delegation
- making Android


Full stack mobile
Develop8tors
August 2018 – April 2019
Bucharest, Romania

Duties:
- making apps using Flutter framework and native Android tools 

- creating backend for this app(server side on Aqueduct and database on Postgresql)
Position: Big data engineer
Category: Data Engineer
Experience: 11 years | English: upper


I've been working as a Big data engineer at Sekai (IOT with logic patterns, Spark (streaming/batch)/Scala/Kafka/Prefect.io(Python a little bit)/TimescaleDB/Kubernetes/Camel/Graphana/Prometheus/Loki) for almost 2 years and at Propzmedia (Offline retail bigdata in Brazil, Spark/Scala/Jenkins/Airflow(little bit)/AWS(S3,EMR,EC2)/GCP/Azure/Terraform) for almost 4 years. I also had an experience with Cloudera HBase/HDFS/Jira/Redis/Vertica in Creara (ads exchange platforms). 16 years as software developer in various companies overall (Scala/Java).
Position: Big data engineer
Category: Java
Experience: 3 years | English: fluent

I am quick learner and team member with good analytical skills and physical/mathematical background. 
I have practical experience working on big data project.
Java 8
Scala
Hadoop (Yarn, HDFS, MapR)
Kafka
Spark (Spark Streaming)
I'd prefer working on long-play project. 

Passionate about new technologies. 

Preferable technologies: Hadoop ecosystem + Spark
Position: Big Data engineer
Category: Scala
Experience: 6 years | English: fluent

Improved Airflow DAGs by adding parametrized prioritization. Created service to load data with constantly changing schema to data lake for further processing. Together with Data Science team created fraud detection solution for customer using AWS. Created dockerized Python client to load data from customer's resources for further processing (previously it was done manually).
Big Data engineer for retailer company. Tasks: took part in DWH design, created analytic Spark jobs, Python services to load data from different sources. Created fraud detection solution on AWS Stack: Glue, Lambda, Kinesis, Jupiter, Athena, Spark, Python, Java, Jenkins, Kubernetes

  Big data engineer on fintech project. Tsks: create ingestion and analytics jobs, Airflow DAGs. Designed microservice monitoring/notification solution in GCP. Stack: Spark, GCP, Kubernetes, Spring Boot, Scala, Java, Python

  Big data engineer on oil company project. Tasks: create Hive ETL jobs, Spark analytic jobs, Spark ML job to categorize text data, Oozie workflows. Stack: Hive, Spark, Spark ML, Oozie, Java, Scala
Would prefer to work for a product company. Would be great to have small team and new technologies. Prefer not to work with Azure cloud
Position: Big Data engineer
Category: Data Engineer
Experience: 3 years | English: upper

- Conducted proof-of-concept testing of internal tools, effectively optimizing Snowflake performance.
- Reduced the team's time spent on support by 30%;
Data Engineer specializing in levaraging and optimization of Snowflake and Redshift data warehouses. 
Proficient in orchestrating complex data workflows using Airflow and enhancing data transformation processes with dbt. 
Experienced in the deployment and automation of systems using DevOps tools such as Terraform and Kubernetes, including the creation of CI/CD pipelines.

I have had the privilege of collaborating with diverse clients, which include a US-based delivery company and an S&P 500 listed company.
Intrigued by the challenges of building large-scale distributive systems and harnessing the power of data.  
Bring a strong interest in building large distributed systems, particularly using Spark, and designing data warehouses on AWS.