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Data visualization
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Data visualization

Meet Upstaff’s Vetted Data visualization Developers

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Data Analysis 4yr.
AWS ML (Amazon Machine learning services) 4yr.
Neural Networks
Data Mining
Business Analysis
AI
Computer Vision
Hugging Face
Keras
NLP
NumPy
OpenCV
PyTorch
Scikit-learn
TensorFlow
Xgboost
Python
FastAPI
Flask
NLTK
Pandas
Plotly
SciPy
Data visualization
DVC
Time Series
Docker
Git
Microsoft Visio
RabbitMQ
Computer Vision (CV)
Custom API
Deep Learning (DL)
tf-serving
YOLO
...

- Data Scientist with 4+ years of experience specializing in delivering insights and solutions using analytics, machine learning, and data science across diverse industries. - Profound technical expertise with Python, utilizing libraries such as pandas, numpy, TensorFlow, and Keras, and deploying solutions with tools like Docker and FastAPI. - Successfully led data science projects focusing on market analytics, computer vision, and content moderation, demonstrating a strong background in ETL pipelines, predictive modeling, and deploying RESTful services. - Holds a Master's in Computer Science, augmented with certifications from Google Cloud and DataCamp, and is proficient in implementing ML methodologies, including NLP, CV, and time series analysis. - Experienced in RDBMS such as MySQL and PostgreSQL, cloud platforms like AWS and GCP, and has practical knowledge of software development life cycles and agile methodologies. - Fluent in English and Ukrainian, embodying strong multidisciplinary team leadership, evident in the management of complex projects and innovative solution development.

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Seniority Middle (3-5 years)
Location Ternopil, Ukraine
Data visualization 4yr.
Python 4yr.
Power BI 4yr.
Power Query 4yr.
R
NumPy 4yr.
Scikit-learn 4yr.
Matplotlib 4yr.
Pandas 4yr.
SciPy 4yr.
Data Analysis 4yr.
SQL 4yr.
BI Reporting 4yr.
PyTorch
Logistic regression
SVM Classification
MySQL
Oracle Database
PostgreSQL
Marketing research
PowerPoint
KNN
...

Engineer with 4 years in IT, specializing in analytics, data visualization, and machine learning. Proven track record in Agile project execution and innovative solution design. Proficient in Power BI, Python, R, and various ML techniques. Experienced in database modeling and ETL processes, with certifications in Power BI Data Analyst and expertise in multiple data-centric tools. Skilled in optimizing workflows and algorithms for business intelligence across diverse domains.

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Seniority Middle (3-5 years)
Location Dubai, United Arab Emirates
Python 6yr.
SQL 6yr.
JMeter 6yr.
PySpark 6yr.
Apache Airflow 5yr.
AWS ML (Amazon Machine learning services)
Apex DataLoader
Spring Data
Apache Spark Streaming
Data Analysis
Data Quality
Data visualization
ELT
Lakehouse
Data Warehousing
AWS Kinesis
AWS Security Groups
Microsoft Azure API
3D Modelling
CI/CD
Code Review
Cloud solutions
Data backups
Illustration and icons
Privacy Compliance & Data Governance
...

A seasoned Data Engineer with over 6 years of experience in the field of software and big data engineering. Holds a strong academic background in Computer Science and Software Engineering, certified as a Google Cloud Professional Data Engineer. Demonstrates deep expertise in high-load system design, performance optimizations, and domain-specific solutions for Healthcare, Fintech, and E-commerce. Proficient in Python and SQL, with significant exposure to data engineering tools such as Apache Hadoop, Apache Spark, and Apache Airflow, and cloud technologies from AWS and GCP. Adept at working with various databases and message brokers, excelling in data modeling, BI, and data visualization using tools like Looker, Power BI, and Tableau. Enhanced system efficiencies through SQL and data pipeline optimizations, driving significant improvements in processing speed and system performance. A collaborative engineer with a strong grasp of DevOps practices, committed to best-in-class data governance and security standards.

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Seniority Senior (5-10 years)
Location Poland
Data Analysis
Java
Python
Keras
Machine Learning
NumPy
Scikit-learn
TensorFlow
CSS
HTML
Pandas
Bayes Classification
Business Analysis
Data Quality
Data visualization
Linear Regression
Logistic regression
Multiple Linear Regression
Naïve Classification
Operations analysis
SVM Classification
MySQL
Research Skills
...

- Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. - Business and Data Analyst with expertise in analysis and testing of business requirements. - Upper-Intermediate English. - Available ASAP.

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Seniority Senior (5-10 years)
Location Lagos, Nigeria
Python 8yr.
Beautiful Soup 2yr.
Selenium
Scrapy
Playwright
Data Mining 7yr.
Data Scraping 7yr.
PHP 5yr.
XPATH 5yr.
Data visualization 5yr.
RDBMS 5yr.
Payment Gateways 5yr.
Project Management 5yr.
Responsive Design 5yr.
SVN 5yr.
PandasAI 4yr.
Data Analysis 4yr.
JavaScript 3yr.
TensorFlow 3yr.
NLTK 3yr.
CSS 2yr.
HTML5 2yr.
Play Framework 2yr.
Reselect 2yr.
RESTful API 2yr.
Scrum 2yr.
Vaadin 1yr.
Puppeteer 1yr.
Power BI 1yr.
Tableau 1yr.
AngularJS
React
Symfony
AWS S3
RPA
...

- 10+ years with data and web scraping, data analysis, and crawler development; - Developed 200+ web crawlers for fashion brands and 700+ crawlers for job offer aggregation including Fortune 500 companies; - Led a team of junior engineers in data crawling projects; - Managed scraping infrastructure, data parsing, and cleaning procedures using pandas and regex; - Skilled in Python, PHP, JavaScript, SQL, and tools like Scrapy, Selenium, Pandas, BeautifulSoup, TensorFlow, and Regex; - Analyzed data and built visualizations with Tableau and Power BI; - Experienced with version control (Git) and Agile/Scrum methodologies; - Used reverse engineering, XPath, CSS selectors, and AJAX calls to handle dynamic websites; - Developed software architecture and contributed to test automation; - Worked on projects involving distributed tasks with Gearman, Selenium, Puppeteer; - Stayed updated on web scraping best practices and emerging technologies.

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Seniority Expert (10+ years)
Location Bulgaria
Swift 3yr.
Python 3yr.
XCode 3yr.
Data visualization
HDFS
AWS RDS (Amazon Relational Database Service)
3D Modelling
Project Management
Risk Assessment Framework
...

- Full-stack iOS Developer with over three years of experience, specialized in Swift, Python, and Xcode, with a successful track record of designing, developing, and launching high-quality iOS applications. - Demonstrated expertise in the complete app development lifecycle, skilled in UI/UX design, front-end coding, back-end integration, and database management. - Extensive 11-year background as a Data Analyst, proficient in data visualization, econometric modeling, and using tools like Stata, EViews, and Python to deliver data-driven solutions. - Strong foundation in various statistical techniques and models, including ARDL, Spatial Autocorrelation, Probit and Multinomial Logit regressions, and VECMX model. - Proven experience in project management, including conducting feasibility studies for PPP projects, and an adept understanding of risk assessment and stakeholder collaboration in the economic sector. - A well-rounded educational background with a Master of Arts in Economics and a Bachelor of Arts in Economic Informatics, graduating with honors.

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Seniority Expert (10+ years)
Python
SQL
PySpark
Risk Management
Amazon Machine learning services
AWS ML (Amazon Machine learning services)
AWS SageMaker
AWS SageMaker (Amazon SageMaker)
OpenAI
Pinecone
Flask
Identity Server
Streamlit
Apache Airflow
AWS Athena
Data visualization
Power BI
ChromaDB
Microsoft SQL Server
AWS Bedrock
AWS EC2
AWS EMR
AWS Glue
AWS Quicksight
AWS S3
Azure App Service
Azure Blob Storage
Azure DevOps
Cloud Functions
Apache HTTP Server
BitBucket
Github Actions
Excel
Visual Studio
Jenkins
RDS
...

Expert data scientist with a strong engineering background, encompassing advanced competencies in Machine Learning, Data Engineering, and Business Intelligence. Holds an MSc in Computer Science with over 5 years of experience innovating at technology firms such as Interswitch Group and Bluechip Technologies. Proven track record in driving business decisions through data, such as enhancing credit risk models leading to a 12% loan uptake increase and implementing a Transaction Classifier with a 98% success rate. Technically proficient in Python, SQL, and a suite of analytics tools and platforms including AWS services, Sagemaker, and Evidently AI. Demonstrated excellence in employing Machine Learning and DataOps methodologies for project success.

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Seniority Senior (5-10 years)
Python
TensorFlow
Snowflake
AWS Redshift
Amazon Machine learning services
AutoGPT
AWS ML (Amazon Machine learning services)
Hugging Face
Kubeflow
LangChain
Prompt Engineering
PyTorch
RAG
T5
Java
Immutable.js
Matplotlib
NLTK
Plotly
Seaborn
Struts 2
Apache Hive
Data visualization
DVC
Kibana
Looker Studio
Power BI
Tableau
AWS ElasticSearch
Clickhouse
ELK stack (Elasticsearch, Logstash, Kibana)
HDFS
Azure DevOps
Google BigQuery
Github Actions
Logstash
Prometheus
MPEG-DASH
Flink
JAX RS
Legacy Application
TFX
...

- Experienced Machine Learning Engineer with Data Engineering skills - Experience in ensemble recommendation systems, customer behavior prediction, and recruitment insights, analytics, chatbots. - Experience in user retention, engagement, operational efficiency increase, enhancing stock turnover, forecasting accuracy, automated damage assessment models, and vehicle security through advanced ML models and BigData. - Worked with industries: insurance, finance, restaurants - Solid expertise with Big Data, Natural Language Processing, Computer Vision

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Seniority Senior (5-10 years)
Location Warsaw, Poland

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Data visualization Tech Radar

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Manager
Maria Lapko
Global Partnership Manager

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Candidate Staffing Platform stores data about past and present candidates, enables fast work and scalability, providing clients with valuable insights into their talent pipeline.

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Price quoted is the total price to you. No hidden or unexpected cost for for candidate placement.

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No matter how many engineers you employ, there is only one monthly consolidated invoice.

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Want to hire Data visualization developer? Then you should know!

Table of Contents

How and where is Data visualization used?

  • Data Analytics: Analyzing sales data
  • Financial Reporting: Monitoring expenses
  • Business Intelligence: Tracking key performance indicators
  • Healthcare: Visualizing patient data
  • Marketing: Analyzing campaign performance
  • Education: Presenting student performance data
  • Supply Chain Management: Monitoring inventory levels
  • Social Media: Visualizing engagement metrics
  • Sports Analytics: Analyzing player performance
  • Research: Presenting survey data

Compare Junior, Middle, Senior, and Expert/Team Lead Data visualization Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Assist in data visualization projects
  • Create basic charts and graphs
  • Support senior developers
50,000
Middle3-5 years
  • Design complex data visualizations
  • Coordinate project timelines
  • Train junior developers
70,000
Senior6-8 years
  • Lead data visualization initiatives
  • Develop innovative solutions
  • Mentor team members
90,000
Expert/Team Lead9+ years
  • Set data visualization strategy
  • Guide team in complex projects
  • Ensure high-quality deliverables
120,000

Quick Facts about Data visualization.

  • Back in the ancient year of 1987, data visualization software was born!
  • Projects in finance, marketing, and healthcare love using this tech!
  • Entry threshold to be a data viz guru? Just some basic coding skills!
  • When it comes to related tech, can’t go wrong with machine learning!
  • Did you know the first data viz tool was called “The Graphical Interface”?

TOP Data visualization Related Technologies

  1. Tableau (Ex: Christian, 2003)
  2. Power BI (Ex: Microsoft, 2015)
  3. D3.js (Ex: Bostock, 2010)
  4. Plotly (Ex: Plotly, 2015)
  5. QlikView (Ex: Qlik, 1993)

What are top Data visualization instruments and tools?

  • Tableau: A tool by Tableau Software, released in 2003.
  • Power BI: Microsoft’s creation from 2013.
  • Google Data Studio: Released by Google in 2016.
  • QlikView: From Qlik, released in 1993.
  • D3.js: A JavaScript library, first appeared in 2011.
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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
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FAQs on Data visualization Development

What is a Data visualization Developer? Arrow

A Data visualization Developer is a specialist in the Data visualization framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Data visualization Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Data visualization Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Data visualization Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Data visualization, then hiring a Data visualization Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Data visualization Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Data visualization Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Data visualization Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Data visualization Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Data visualization Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Data visualization Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Data visualization Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.