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Recently Added Big Data Developers in our Network

Abhinav Kumar

Abhinav KumarProfile Badge IC

SDE-310 Years of Exp

10 years of experience in enterprise strategy, enterprise data architecture and IT project/program delivery. Capability to develop technical solutions to complex business problems from Proof-of-Concept POC to development, testing, production implementation and support.

Manmohan Tyagi

Manmohan TyagiProfile Badge IC

Architect, Big data and Cloud AWS/GCP15 Years of Exp
  • Analytical Problem Solving
  • Architectural Design
  • Containerization
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Manmohan Tyagi is a seasoned Cloud Architect and Big Data Engineer with an impressive 14 years of hands-on experience. He is a certified expert in AWS, GCP, and Azure cloud technologies, including AWS Developer, AWS Solutions Architect, and GCP Cloud Architect/DevOps. Manmohan's expertise spans cloud migration, data engineering, and big data technologies such as Hadoop, Spark, Kafka, and Flink. He has extensive experience in designing and implementing data ingestion pipelines, data lakes, and data warehousing solutions on cloud platforms. His strong background in NoSQL databases and data modeling for data warehousing, coupled with proficiency in DevOps practices, CI/CD pipelines, and infrastructure as code, make him a well-rounded technical leader. Manmohan is also adept at programming languages like Java, Scala, and Python, and has developed expertise in microservices and serverless architectures. Additionally, he has demonstrated excellence in cloud security, compliance, and governance, as well as in leading and mentoring teams on complex enterprise-level projects.

Mohan Vankudoth

Mohan VankudothProfile Badge IC

Sr Power BI Consultant & Fabric Developer9 Years of Exp
  • Azure Data Factory
  • PowerBI
  • Dataflow
  • Power BI Service
  • DAX
  • View all (8)

9 Years of experience in Data mining, Cleaning, Validation, Modelling, Analysis, Data Ware housing, Visualization, Statistical modelling with large data sets of Structured and Unstructured data with technologies Power BI, Tableau, Azure SQL, Azure Analysis service, SSAS, Dataflow, DataMart, Datahub, Microsoft Fabric.

Parimal Panda

Parimal PandaProfile Badge IC

Director Product Development19 Years of Exp
  • Product Management
  • Data Engineering
  • Saas data architecture
  • View all (6)

Innovation driven experience in Product Engineering & Delivery Management involving Solution Architecture, Program Management, Data Engineering & Practice Management in Fintech,Banking & Regulatory Compliance products & services.

Ponithapunitha girish

Ponithapunitha girishProfile Badge IC

Senior Data Engineer14 Years of Exp
  • MySQL
  • AWS
  • Hadoop
  • Kubernetes
  • PySpark
  • Core Java
  • Big Data
  • BI tools
  • View all (10)

Seeking Data Engineer position at company where I can leverage my skills in data analysis and software development to support the mission of leveraging technology for impactful solutions.

Rajat Gupta

Rajat GuptaProfile Badge IC

Module Lead10 Years of Exp

Senior Data Engineer with over 10 years of experience in the banking, finance & telecom for Fortune 500 clients with certifications in AWS and Databricks. I leverage my experience to design, build, and implement scalable analytics solutions with data engineering workflows and complex data pipelines on the cloud. I work with cross-functional teams to deliver high-quality data products and services for the banking and finance sector, using cutting-edge technologies such as Data Engineer, DevOps, Confluent Kafka, Spark, and ML technologies including OpenAI. Extensive professional experience in software architecture, design, development and integration. Design, build and implementation of scalable analytics solutions with data engineering workflows and complex data pipelines both on-premise and AWS Cloud. Developing large-scale distributed applications using Hadoop (HDP & CDH), MR, Hive, Spark, Streaming, Kafka. Building enterprise cloud data platform on AWS Creating enterprise Data Lake and modern Data Warehouse capabilities and patterns. Creating DevOps CI/CD pipelines using Git, Jenkins, Dockers, Kubernetes.

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Top Clients Reviews

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Uplers earned our trust by listening to our problems and finding the perfect talent for our organization.

Barış Ağaçdan
Director
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Uplers helped to source and bring out the top talent in India, any kind of high-level role requirement in terms of skills is always sourced based on the job description we share. The profiles of highly vetted experts were received within a couple of days. It has been credible in terms of scaling our team out of India.

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Uplers efficient, quick process and targeted approach helped us find the right talents quickly. The professionals they provided were not only skilled but also a great fit for our team.

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Uplers' talents consistently deliver high-quality work along with unmatched reliability, work ethic, and dedication to the job.

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Case Studies of Tech Companies

Why Hiring Big Data Developers is Crucial for Modern Businesses

Aren’t you constantly looking for ways to harness data and make better decisions that drive innovation in the data-driven world? Big data has emerged as a fundamental asset and having skilled big data developers on board is critical to unlock your business’s full potential.

Frequently Asked Questions

Uplers provide AI-vetted talent, ensuring a seamless hiring experience. Our efficient process ensures profile shortlisting within 48 hours, allowing you to swiftly onboard qualified professionals within just 2 weeks. Additionally, we prioritize client satisfaction with our flexible terms, including a 30-day cancellation policy and a lifetime free replacement.

You can get the top 3.5% of AI-vetted profiles in less than 48 hours through Uplers. Once you finalize one of the most suitable Big Data Developers, Uplers takes care of the entire hiring and onboarding formalities. This typically takes 2-4 weeks depending on your requirements and decision-making time.

The modes of communication through which you can get in touch with a hired Big Data Developer include:

  • Email
  • Phone
  • Messaging apps such as WhatsApp, Slack, or Microsoft Teams

Uplers offers a 30-day cancellation policy at no extra cost and lifetime free replacement.

The average cost of hiring a Big Data Developer from Uplers starts at $2500. The number varies depending on the experience level of the developer as well as your requirements.

View Our Pricing For 2024 - 25

At Uplers, our screening process ensures a thorough evaluation of candidates' language proficiency, facilitated by our AI-vetting technology. Beyond linguistic skills, we prioritize cultural fitness to ensure seamless integration within your team, fostering a harmonious work environment and seamless collaboration.

Yes, Big Data Developers are still in high demand as businesses increasingly rely on data-driven decision-making. With the rise of AI, cloud computing, IoT, and real-time analytics, companies need skilled developers to process, store, and analyze massive datasets efficiently, ensuring optimal performance and business insights.

The latest trends in Big Data development include AI-driven analytics, real-time data processing, edge computing, cloud-based big data solutions, and enhanced data security. Technologies like Apache Spark, Kubernetes, and serverless architectures are gaining traction, while businesses prioritize scalable, cost-efficient, and AI-integrated big data solutions for advanced decision-making.

Uplers diversifies resource locations, such as hiring from India alongside existing teams, ensuring operational stability during unexpected events like power outages or natural disruptions.

Uplers assigns a dedicated account manager and talent success coach to:

  • Monitor performance.
  • Provide structured feedback.
  • Ensure alignment with client expectations.

Uplers facilitates onboarding by:

  • Collaborating with SaaS companies to use client-provided training materials.
  • Ensuring candidates are well-versed in the tools, processes, and guidelines specific to the role.

Clients provide detailed job descriptions and specify resource needs. Uplers then proposes vetted profiles aligned with these requirements.