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Nata L, Data Analyst with BI and Data Engineering skills (Senior Certified Tableau Engineer)

Germany
Last Updated: 23 Apr 2024
Identity Verified
Language Verified
Programming Skills Verified
CV Verified

- Oriented Data and Business Intelligence Analysis engineer with Data Engineering skills. - 6+ years of experience with Tableau - Experience in Operations analysis, building charts & dashboards - 20+ years of experience in data mining, data analysis, and data processing. Unifying data from many sources to create interactive, immersive dashboards and reports that provide actionable insights and drive business results. - Adept with different SDLC methodologies - Waterfall, Agile SCRUM - Knowledge of performing data analysis, data modeling, data mapping, batch data processing, and capable of generating reports using reporting tools such as Power BI (advanced), Sisence(Periscope) (expert), Tableau (Advanced), Data Studio (Advanced) - Experience in writing SQL Queries, Big Query, Python, R, DAX to extract data and perform Data Analysis - AWS, Redshift - Combined expertise in data analysis with solid technical qualifications. - Advanced English, Intermediate German - Location: Germany

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Google Data Studio

Google Data Studio

Python

Python   6 yr.

SQL

SQL   8 yr.

Microsoft Power BI

Microsoft Power BI

Data Analysis Expressions (DAX)

Data Analysis Expressions (DAX)   4 yr.

Tableau

Tableau   6 yr.

View Nata

Ankit A., Lead Data Quality Engineer

Bengaluru, India
Last Updated: 4 Jul 2023

- 5+ years of experience in the IT industry as a Software Developer with hands-on experience with technologies like Talend Studio, My SQL, Postgres, Google Data Studio, Snowflake, Matillion, and Supermetrics. - Developed Talend jobs and Matillion jobs for extracting, transforming, and loading (ETL) data in accordance with the Business logic of the Product. Analyzing, understanding, and updating the Existing Talend and Matillion jobs. - Implemented automation of SQL Queries scripts for daily, weekly & monthly reports. - Worked on Snowflake to create Stored Procedures, Streams, and Tasks. Data Validation and data quality checks at the backend with SQL. - Worked on different Cloud sources like Google Analytics, Google Ads, Facebook Ads, Google Search Console etc - Upper intermediate English - Available for buyout

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Google Data Studio

Google Data Studio

SQL

SQL

Talend

Talend

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Alex K., Data Engineer

Oradea, Romania
Last Updated: 13 Nov 2023

- Senior Data Engineer with a strong technology core background in companies focused on data collection, management, and analysis. - Proficient in SQL, NoSQL, Python, Pyspark, Oracle PL/SQL, Microsoft T-SQL, and Perl/Bash. - Experienced in working with AWS stack (Redshift, Aurora, PostgreSQL, Lambda, S3, Glue, Terraform, CodePipeline) and GCP stack (BigQuery, Dataflow, Dataproc, Pub/Sub, Data Studio, Terraform, Cloud Build). - Skilled in working with RDBMS such as Oracle, MySQL, PostgreSQL, MsSQL, and DB2. - Familiar with Big Data technologies like AWS Redshift, GCP BigQuery, MongoDB, Apache Hadoop, AWS DynamoDB, and Neo4j. - Proficient in ETL tools such as Talend Data Integration, Informatica, Oracle Data Integrator (ODI), IBM Datastage, and Apache Airflow. - Experienced in using Git, Bitbucket, SVN, and Terraform for version control and infrastructure management. - Holds a Master's degree in Environmental Engineering and has several years of experience in the field. - Has worked on various projects as a data engineer, including operational data warehousing, data integration for crypto wallets/De-Fi, cloud data hub architecture, data lake migration, GDPR reporting, CRM migration, and legacy data warehouse migration. - Strong expertise in designing and developing ETL processes, performance tuning, troubleshooting, and providing technical consulting to business users. - Familiar with agile methodologies and has experience working in agile environments. - Has experience with Oracle, Microsoft SQL Server, and MongoDB databases. - Has worked in various industries including financial services, automotive, marketing, and gaming. - Advanced English - Available in 4 weeks after approval for the project

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Google Data Studio

Google Data Studio

Amazon Web Services (AWS)

Amazon Web Services (AWS)

Google Cloud Platform (GCP)

Google Cloud Platform (GCP)

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Ali R., Tableau Engineer

Pakistan
Last Updated: 23 Apr 2024
Identity Verified
Language Verified
Programming Skills Verified
CV Verified

- 7 years of commercial experience with Tableau - 8 years of experience as a BI Consultant, providing data visualization expertise in Tableau, Power BI, Python, SQL - Created visually compelling and interactive Tableau dashboards for clients in the real estate domain in the US - Upper-Intermediate English

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Google Data Studio

Google Data Studio

Tableau

Tableau   7 yr.

View Ali

Maria Z., BI Engineer

Ukraine
Last Updated: 4 Jul 2023

• Business Intelligence/Data Analysis/Visualization • PowerBI, Google Data Studio, Tableau. • Has hands-on experience with various data sources as Cloud DBs (Snowflake), on-premise DBs (Microsoft SQL Server, Oracle, OLAP cubes), APIs (Jira, Service Now etc.) and of course text files (Excel, csv, json format). • Has a strong background in analysis and statistics, has hands-on experience using Python for data analysis. • Solid troubleshooting skills, ability and willingness to learn quickly, highly responsible person. Interested in communication with stakeholders and end-users. • Upper-Intermediate English level. • Available: ASAP • No scheduled vacations within next 3 months.

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Google Data Studio

Google Data Studio

Tableau

Tableau

SQL

SQL

View Maria

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Only 3 Steps to Hire Google Data Studio Engineers

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Bring new talent on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

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FAQs about Google Data Studio Development

How do I hire a Google Data Studio developer? Arrow

Are you desperately looking for a Google Data Studio developer validated to your requirements and skills? Are you lacking in resources and tools to find the right developer? If yes, then you are at the right place! Because at Upstaff, the selection of the Google Data Studio Developer is done professionally as per your requirement, in a short time of just a few days, from calling to the instant task of your validated developer, with all your required skills.

Where is the best place to find Google Data Studio developers? Arrow

Sure enough, within the network there must be dozens, if not hundreds, of services and platforms where you can look for the Google Data Studio guy you need, but just Upstaff lets you sort out the best of the best real qualified developers practically in a couple of minutes, so that you will be able to select the one whose personality will be a perfect fit to your company. This is the case when you can create a genuinely “Pizza” type of service in the field of custom software development.

How are Upstaff Google Data Studio developers different? Arrow

Vetting by expert human reviewers is combined with historically curated feedback from clients and team-mates, which has enabled us to save, on average, more than 50 hours for each client team evaluating Google Data Studio candidates for every position. We live and breathe technical excellence, borne out of extensive industry expertise.

How quickly can I hire Google Data Studio developers through Upstaff? Arrow

Our process begins with a 30-minute discovery call: we’ll discuss your pain points, technical requirements, and team diversity. Meet Carefully Matched Google Data Studio Talents. Upon your meeting confirmation, we’ll send you profiles and arrange an introduction call with the right talents for your project, within 1-3 days. Schedule a call to meet Google Data Studio engineers in person. Make the right call. Bring a new Google Data Studio developer on board with a trial period: confirm that the person you hired does the job right, no termination fees and no hidden fees.

How does Upstaff vet remote Google Data Studio engineers? Arrow

After this introductory round, Upstaff Managers do an eval of the soft skills of the candidates before the hiring decision is approved or rejected. For the hard skills, the Upstaff Staffing Platform has a short testing session to check their Google Data Studio skills or engage a senior developer to do a technical interview for more senior developers. You can reuse some of the hard and soft skills of past candidates to connect them with other jobs in the future (see below). Upstaff managers also do an eval of the talent before approving them for further work, allowing us to accelerate the work and ability to scale, but also providing information to clients on the talent pipeline. Finally, we also have a matching engine within the work mining system that matches candidates and jobs in real time.

How to hire Google Data Studio developer? Arrow

If recruiting services and job boards are not your 1st option, you may want to consider a client-oriented service like Upstaff to find & hire Google Data Studio developers. Upstaff has a network of vetted and tested Google Data Studio developers. Here, you can hire web developers for a few simple coding tasks with Google Data Studio.

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How and where is Google Data Studio used?

  • Real-time dashboarding: Track performance instantly
  • Interactive reporting: Engage users with dynamic data
  • Custom data visualization: Tailor reports to specific needs
  • Data blending: Combine data from multiple sources seamlessly
  • Collaborative analytics: Work together on data insights
  • Automated report delivery: Schedule reports for timely updates
  • Embeddable reports: Share data easily across platforms
  • Mobile optimization: Access reports on-the-go
  • Brand customization: Customize reports with your branding
  • Advanced filtering: Dive deep into data with intricate filters

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

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years<ul><li>Create basic data visualizations.<li>Assist in dashboard development.</ul>50,000
Middle2-4 years<ul><li>Develop complex dashboards.<li>Implement data blending techniques.</ul>70,000
Senior4-6 years<ul><li>Lead project implementations.<li>Optimize performance.</ul>90,000
Expert/Team Lead6+ years<ul><li>Provide technical guidance.<li>Lead team efforts.</ul>120,000

Quick Facts about Google Data Studio.

  • Google Data Studio was born in 2016, a year of tech enlightenment.
  • Most users adore creating interactive dashboards using this tool.
  • Entry to Data Studio is as easy as setting up your morning coffee.
  • BigQuery is Data Studio’s best buddy in the tech playground.
  • Did you know? You can share reports faster than a cheetah runs!

TOP Google Data Studio Related Technologies

  1. BigQuery
  2. Google Sheets
  3. MySQL
  4. Google Analytics
  5. Google Ads

What are top Google Data Studio instruments and tools?

  • Supermetrics: Data connectors galore, like a Swiss Army knife for data.
  • Power BI: Microsoft’s powerful data visualization tool, like Excel on steroids.
  • Google Analytics: The OG of website analytics, Google’s data goldmine.
  • Tableau: Data visualization powerhouse, turning numbers into art.
  • Looker: Business intelligence platform acquired by Google, a rising star.
  • QlikView: Data discovery tool making insights a piece of cake.

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Maria Lapko
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