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114,095 Remote Azure Data Engineer developers and experts available to hire:

Eric D., Azure Data Engineer developer
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Eric D.

Vetted Azure Data Engineer developer in the United States (UTC-4)

A leading architect, manager, consultant and implementer of data warehousing, BI and CRM applications. Utilize advanced techniques, methodologies, ELT/ETL and real world experience in designing, managing and building large, parallel, big data infrastructures. Key liaison between business stakeholders and the technology teams to translate business and informational requirements into to real world solutions. Manage all aspects of the project life cycle, and coordinate or produce the production of all required project management artifacts including vision, project initiation and cost, business & functional requirements, design, architecture, quality assurance testing, transition and end-user acceptance.

Data Engineering • 5 yrsAzure • 8 yrsAzure Data Factory • 7 yrsData architectureData governancePythonETLDatabricksSoftware architecture
+2
Databricks, Software architecture
Daya M., Azure Data Engineer developer
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Daya M.

Vetted Azure Data Engineer developer in the United States (UTC-5)

Azure Cloud architect, with comprehensive experience in all phases of design, proof of concepts, development and testing, involving data analysis, successfully led multiple projects that involved migrating on-premises infrastructure to Azure, optimizing cloud resources, and ensuring high availability and security. I have worked closely with cross-functional teams, including developers, operations, and business stakeholders, to understand their requirements and translate them into actionable cloud strategies. My ability to articulate complex technical concepts in a clear and concise manner has been instrumental in gaining buy-in from both technical and non-technical audiences

Data architecture • 5 yrsData warehouse • 9 yrsAzure data engineering • 8 yrsAzure Data Factory • 8 yrsAzure • 8 yrsMicrosoft FabricCloud ArchitectureDatabricks
+1
Databricks
Srikanth G., Azure Data Engineer developer
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Srikanth G.

Vetted Azure Data Engineer developer in the United States (UTC-5)

Data Specialist & Architect with a zeal to understand and solve business problems using different technologies primarily Cloud (Microsoft Azure). Focus area is around providing solutions for business processes that rely on old technologies and design a strategy to lift and shift them to Azure Cloud without impacting business outcome.

Azure • 8 yrsData analysisData EngineeringAzure Data FactoryAzure Data EngineerPythonSQLDatabricksPower BISpark optimization
+3
Databricks, Power BI, Spark optimization
Sumesh S., Azure Data Engineer developer
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Sumesh S.

Vetted Azure Data Engineer developer in the United States (UTC-5)

Experienced Cloud Architect & Data Strategist | Driving Digital Transformation for 18+ Years With over 18 years of dedicated experience in IT, I've been at the forefront of revolutionizing businesses through cutting-edge cloud solutions and data architecture. My expertise lies in seamlessly migrating and modernizing applications, leveraging the power of Azure to drive unparalleled efficiency and innovation. Cloud Mastery: Throughout my career, I've spearheaded numerous successful cloud migration projects, helping organizations harness the full potential of Azure. I excel in crafting bespoke cloud strategies tailored to each client's unique needs, ensuring smooth transitions and optimized performance. Application Modernization: I specialize in revitalizing legacy applications, breathing new life into outdated systems through modernization initiatives. By leveraging the latest technologies and best practices, I empower businesses to stay agile and competitive in today's dynamic market landscape. Data Architecting Excellence: As a seasoned data architect, I've played a pivotal role in architecting robust data solutions using Azure Databricks. From data ingestion to processing and analytics, I design scalable and resilient architectures that unlock valuable insights and drive informed decision-making. Strategic Leadership: I thrive in dynamic environments, adept at leading cross-functional teams towards a common vision. Whether it's aligning stakeholders, mitigating risks, or driving organizational change, I bring a strategic mindset and a collaborative approach to every project. Continuous Innovation: Passionate about staying at the forefront of technology trends, I remain committed to continuous learning and innovation. By staying abreast of emerging tools and methodologies, I ensure my clients always benefit from the latest advancements in cloud and data solutions. If you're seeking a seasoned professional with a proven track record of delivering transformative results, let's connect. Together, we can drive your digital transformation journey to new heights.

Azure Data Factory • 7 yrsAzure • 7 yrsAzure Data LakeDatabricksAIDatabaseMicroservicesAWSJavaMicrosoft SQL Server.NET FrameworkDesign PatternsC#UMLWCF (Windows Communication Foundation) Service
+8
AWS, Java, Microsoft SQL Server, .NET Framework, Design Patterns, C#, UML, WCF (Windows Communication Foundation) Service
Jijun T., Azure Data Engineer developer
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Jijun T.

Vetted Azure Data Engineer developer in France (UTC+2)

Software engineer with over 3+ years of experience in Python and JavaScript. Led the development of a big data surveillance system, which provided grafana dashboard for team members about the kafka running status. Scoring 19/20 over multiple university projects on CUDA, MPI, and concurrent programming in C++. Offering experience, passion, rigourous and commitment to excellence.

Azure FunctionsPython 3AWSKubernetesC++LinuxDockerContinuous IntegrationRustPythonAngularApache SparkHelmGitLab CI/CDScalaElasticsearchTypeScriptDataflowGcp dataprocJavaScriptPaddlePaddle
+14
Continuous Integration, Rust, Python, Angular, Apache Spark, Helm, GitLab CI/CD, Scala, Elasticsearch, TypeScript, Dataflow, Gcp dataproc, JavaScript, PaddlePaddle
Vigneshwaran D., Azure Data Engineer developer
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Vigneshwaran D.

Vetted Azure Data Engineer developer in the United States (UTC-5)

Data Engineer specialized in Azure cloud solutions with proven expertise in building scalable ETL/ELT pipelines. Expert in: 🔹 Azure Data Factory: Developed production-grade data pipelines integrating Data Lake, Databricks, and Azure SQL, with automated data quality validation and Teams notifications. 🔹 API Integration: Successfully implemented end-to-end data solutions connecting with major SaaS platforms (Zendesk, HubSpot) using both Azure Functions and Databricks, handling complex authentication and data transformation. 🔹 Azure SQL & Data Lake: Extensive experience in data warehouse implementation, query optimization, and managing large-scale data operations. Recent achievements include: \- Automated file processing system with smart deduplication \- Real-time API integration with multiple CRM platforms \- Robust data validation frameworks with automated alerts \- End-to-end ETL solutions using Python, Databricks, and Azure services ✅ Available to work in the U.S timezone ✅ Available for freelance projects ✅ Strong focus on documentation and knowledge transfer ✅ Track record of delivering projects on time Looking to help businesses streamline their data operations and unlock valuable insights through robust data engineering solutions.

Data pipeline design • 6 yrsAzure synapse • 6 yrsAzure Data Factory • 6 yrsAzure SQLAzure FunctionsAzure Blob StorageAzure Data EngineerAzure synapse analyticsAzure Data LakeAzure Analysis ServicesData ScienceSQLPythonProcess automationETLAPI IntegrationDatabricksGitHubWeb ScrapingPower BICI/CDDevOpsRPandasMachine learningT-SQLPredictive modelingDataRobotOracle PL/SQLRESTful API
+23
Azure synapse analytics, Azure Data Lake, Azure Analysis Services, Data Science, SQL, Python, Process automation, ETL, API Integration, Databricks, GitHub, Web Scraping, Power BI, CI/CD, DevOps, R, Pandas, Machine learning, T-SQL, Predictive modeling, DataRobot, Oracle PL/SQL, RESTful API
Azure Data Engineer developers developer - Vigneshwaran D.'s portfolio image
ceyhun K., Azure Data Engineer developer
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ceyhun K.

Vetted Azure Data Engineer developer in Turkey (UTC+2)

Having worked in different industries and having experience in different technologies, my primary goal is to introduce latest technology and methodologies to my customers with minimum cost and maximum stability. I like to work in inter-disciplinary fields and with hybrid technology stacks. Please see my github profile for the related work.

Startup experienceData warehouse • 10 yrsData modeling • 10 yrsAzure • 2 yrsData EngineeringData analyticsPythonScalaSQLGoApache KafkaAWSHTML/CSSGitDatabaseBashSQLitePostgreSQLShellGitHubAmazon S3PandasSQLAlchemyJiraFull StackDockerReactpytestElixirJavaScriptDocker ComposeDockerfileAWS DynamoDBTerraformAWS LambdaSnowflakeElixir DevelopmentJira/confluenceGitHub ActionsFastapiJavaOracleGitLabOracle PL/SQLRubyRuby on RailsTypeScriptGoogle BigQueryGoogle Cloud PlatformApache BeamApache AirflowDataflowApache druid
+45
SQL, Go, Apache Kafka, AWS, HTML/CSS, Git, Database, Bash, SQLite, PostgreSQL, Shell, GitHub, Amazon S3, Pandas, SQLAlchemy, Jira, Full Stack, Docker, React, pytest, Elixir, JavaScript, Docker Compose, Dockerfile, AWS DynamoDB, Terraform, AWS Lambda, Snowflake, Elixir Development, Jira/confluence, GitHub Actions, Fastapi, Java, Oracle, GitLab, Oracle PL/SQL, Ruby, Ruby on Rails, TypeScript, Google BigQuery, Google Cloud Platform, Apache Beam, Apache Airflow, Dataflow, Apache druid
Matthew L., Azure Data Engineer developer
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Matthew L.

Vetted Azure Data Engineer developer in the United States (UTC-5)

I have 20+ years in the technology industry and have serviced the financial, government, insurance, healthcare, energy, startup/technology, and retail sectors ranging from data architecture, software engineering, R&D, DevOps, management, strategic consulting, patented applications, and high-value revenue-generating applications & architecture. I hold patents in secured distributed messaging architecture, contribute to numerous open-source projects, and have conducted pioneering research in resilient cloud architectures based on fault-tolerant rough-set grammars. I hold patents in secure distributed messaging architecture, contribute to numerous open-source projects, and have conducted pioneering research in resilient cloud architectures based on fault-tolerant rough-set grammars. ● High-Performance Computing (HPC) ● Microservices Architecture ● Multi-Agent Distributed Computation ● Highly scalable Service Oriented Architectures (SOA) ● Predictive Big Data Analytics ● Consensus Algorithm Design ● High-Value Research & Development ● Cloud Architecture and Implementation ● DevOps and Security Penetration Testing ● System Virtualization and Containerization ● Data Center Relocations ● Security Audits ● Server Performance Management ● Capacity and Deployment Planning ● Management ● Storage Management ● Network Infrastructure Design and Implementation

AzureBig DataData ScienceData analyticsPythonAWSCloud ArchitectureCloudHTML/CSSPHPJavaSQLNode.jsReactGoogle Cloud PlatformJavaScriptGoLeadershipApache KafkaTerraformDevSecOpsInfrastructureEvent-Driven Architecture
+16
Cloud, HTML/CSS, PHP, Java, SQL, Node.js, React, Google Cloud Platform, JavaScript, Go, Leadership, Apache Kafka, Terraform, DevSecOps, Infrastructure, Event-Driven Architecture
Amardeep W., Azure Data Engineer developer
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Amardeep W.

Vetted Azure Data Engineer developer in the United States (UTC-7)

· IT professional having 9.8+ years of full-time hands-on experience in Business Intelligence Technologies with major focus on BI Development using MicroStrategy. · Worked on development and migration projects in Retail, Banking, Logistics and Telecom domains with an excellent track record of delivering complex functional projects. · Expertise in MicroStrategy development, creating and integrating Schema objects and Application objects. · Involved in business requirement gathering and providing technical specifications on the same. · Proficient in Microsoft Azure Technology and created CI/CD pipelines using ADF, data bricks and ADLS · Master in BI development using Power BI and DAX and created many user reports using it. · Worked as full stack developer for a given project handling both back-end data and front-end reporting. · Proficient in delivering results among ambiguities and working cohesively with all stakeholders. · Working as acting lead in onshore location (USA) for managing a team based out of offshore location. · Executed successful development and migration project at customer onsite location in Canada.

Azure • 4 yrsData VisualizationSQLMicroStrategyETLPower BIADFSnowflakeCI/CDOracleReportingTeradataTableauPower QueryDAXDatabricks
+9
Snowflake, CI/CD, Oracle, Reporting, Teradata, Tableau, Power Query, DAX, Databricks
Zachary J., Azure Data Engineer developer
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Zachary J.

Vetted Azure Data Engineer developer in the United States (UTC-5)

I have extensive experience in datastores and data pipelines; nearly 15 yr of work that included such. I also have worked on bigdata systems, where we ingested, minimally, more than 200 GB per day. I also have extensive experience in data, including personalization and financial data warehousing.  These kinds of targeting systems designs can become a revenue engine for many kinds of business models. My AI work to date as dealt with data prep, cleaning, structuring and segmenting/classifying, with prediction, recommendation, pricing, and retraining.  Applications included lead source QC, price/value prediction, and matching.  Other applications included regression modeling for attentional measures and content.  Other platform services included feature extraction (structuring) and data rollups with lineage. I’ve done this with financial accounts at MyBankTracker, where I built engines for pricing and personalization, as well as our own CDP / CIP, ad network and fingerprinting/unmasking platform. This was done with student loans, with Barker and LendKey.   I expanded to brokerage and other instruments at Investopedia - where I drove the data architecture of an immersive personal-narrative experience.  I also developed large data warehousing and CDP modeling at Even Financial.   Triple Point Liquidity involved such data in the form of KYC, and was transited via blockchain, compiling indexing time-series in private equity.  Suvie is an IoT company with personalization and e-commerce, consolidating a data warehouse that draws in realtime from more than 12 primary sources.

Startup experienceData modeling • 8 yrsSolutions EngineeringAzureSoftware architectureApplication ArchitectureDatabaseRuby on RailsConsultingApplication SecurityJavaScriptEnterprise ArchitectureXRVR/ARHardware developmentAIRubySQLNode.jsWordPressPostgreSQLTypeScriptPayment gatewayStripeE-commerceReactGoogle Cloud PlatformReact NativeDigital marketingEmail DevelopmentAWSPythonAPIOAuth 2.0CouchDBSAMLProject documentationSSOKubernetesBlockchainGraphQLIBM WatsonHyperledger FabricHelm
+36
Consulting, Application Security, JavaScript, Enterprise Architecture, XR, VR/AR, Hardware development, AI, Ruby, SQL, Node.js, WordPress, PostgreSQL, TypeScript, Payment gateway, Stripe, E-commerce, React, Google Cloud Platform, React Native, Digital marketing, Email Development, AWS, Python, API, OAuth 2.0, CouchDB, SAML, Project documentation, SSO, Kubernetes, Blockchain, GraphQL, IBM Watson, Hyperledger Fabric, Helm

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Why clients hire Azure Data Engineer developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire an Azure Data Engineer developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire an Azure Data Engineer developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Azure Data Engineer developers can help keep your website up-to-date.

How do I hire Azure Data Engineer developers?

To hire an Azure Data Engineer developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Azure Data Engineer developers effectively and efficiently. Hire full-time Azure Data Engineer developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Azure Data Engineer developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Azure Data Engineer developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Azure Data Engineer developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Azure Data Engineer developers?

There are two types of platforms you can hire Azure Data Engineer developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Azure Data Engineer developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Azure Data Engineer developers, consider niche platforms like Arc that naturally attract and carefully vet their Azure Data Engineer developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Azure Data Engineer developers.

Some factors to consider when you hire Azure Data Engineer developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Azure Data Engineer developers for hire.

How do I write an Azure Data Engineer developer job description?

Writing a good Azure Data Engineer developer job description is crucial in helping you hire Azure Data Engineer developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Azure Data Engineer developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Azure Data Engineer developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in an Azure Data Engineer developer?

The top five technical skills Azure Data Engineer developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Azure Data Engineer developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Azure Data Engineer developers to keep up with evolving technology and requirements.

What kinds of Azure Data Engineer developers are available for hire through Arc?

You can find a variety of Azure Data Engineer developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Azure Data Engineer developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Azure Data Engineer developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Azure Data Engineer developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Azure Data Engineer developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Azure Data Engineer developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Azure Data Engineer developers.

Every Azure Data Engineer developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Azure Data Engineer developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Azure Data Engineer developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Azure Data Engineer developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Azure Data Engineer developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Azure Data Engineer developers, you can rest assured that all remote Azure Data Engineer developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Azure Data Engineer developers on Arc?

Arc pre-screens all of our remote Azure Data Engineer developers before we present them to you. As such, all the remote Azure Data Engineer developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Azure Data Engineer developer in 72 hours, or find a full-time Azure Data Engineer developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Azure Data Engineer developers.

How much does a freelance Azure Data Engineer developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Azure Data Engineer developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Azure Data Engineer developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Azure Data Engineer developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Azure Data Engineer developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Azure Data Engineer developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Azure Data Engineer developers, check out our FAQs page.

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