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Business Efficiency with AI

Big Data Engineering Process

Navigate the ever-evolving business landscape with data analytics solutions. Monitor, gather data from diverse sources, and analyze it to reshape your strategy and fortify your brand’s position in the market.

Looking for a data engineering service provider?

  • Data Architecture
    • Data engineering consulting and automation enhancements.
    • Roadmap development for infrastructure upgrades.
    • Implementing automation into existing setups.
    • CI/CD pipeline automation for manual processes.
    • Data quality and health assessment.
    • Deployment of serverless solutions.
  • Data Pipelines
    • Data-driven app design and development.
    • Extracting, transforming, and integrating data from various sources.
    • End-to-end data flow architecture design.
    • Cloud-based ETL process implementation.
    • DataOps services for automated and optimized data workflows.
    • Enabling data observability for comprehensive monitoring.
  • Data Analytics
    • Leveraging Big data engineering tools for informed decision-making.
    • Creating visually-rich dashboards and reports for Big data analysis.
    • Data storage, processing, and insights extraction.
    • Solution deployment in the public cloud or on-premises.
    • Efficient data cataloging for enhanced data understanding
  • Data Governance and Master Data Management
    • Establishing data governance frameworks and policies.
    • Implementing master data management solutions.
    • Ensuring data consistency, accuracy, and compliance.
    • Enabling data lineage tracking and metadata management.

Big Data Engineering: Benefits for Your Business

Leverage tailored data engineering solutions to empower data-driven decision-making.

Streamlined Decision Making

  • Custom data engineering software for advanced analysis and insights.
  • Real-time data processing and predictive analytics.
  • Interactive dashboards and machine learning for trend forecasting.

New Business Opportunities

  • Market analysis for niche discovery.
  • Data-driven strategies for expansion.
  • Predictive analytics for trend identification.
  • Targeted marketing using customer insights.

Cost Reduction

  • Automated data processes for efficiency.
  • Data compression and storage optimization.
  • Identifying and eliminating inefficiencies.

Transparent Processes

  • Workflow automation for collaboration.
  • Clear process documentation and tracking.
  • Bottleneck identification and improvements.


  • Data encryption and access controls.
  • Regular security audits and compliance.
  • Protecting data at rest and in transit.

Improved Product Quality

  • Customer feedback for product enhancement.
  • Personalization and product recommendations.
  • Continuous monitoring for iterative improvements.

Speed up Processes

  • AI-driven task automation.
  • Chatbots for customer support.
  • Supply chain optimization through predictive analytics.
  • Continuous process refinement for efficiency.

Real-Time Analytics

  • Instant Data Insights
  • Continuous Monitoring
  • Immediate Actionable Data
  • Dynamic Decision-Making
  • Live Performance Tracking

Our Big Data Engineering Services
Our Expertise in AI Models


A set of OpenAI models excelling at complex problem-solving due to advanced reasoning skills and extensive general knowledge.


A foundational large language model, LLaMA (Large Language Model Meta AI) generates text, converses, summarizes content, solves math problems, and predicts protein structures.


The latest extensive language model from Google, excelling in intricate reasoning tasks like code interpretation, math solutions, categorization, queries, and multilingual translation. It showcases Google’s commitment to responsible AI.


OpenAI’s set of models for natural language processing tasks such as text generation, summarization, translation, and question answering.


OpenAI’s DALL·E generates lifelike images and art based on text prompts, enabling image creation, modification, and variation generation.


Whisper, a versatile speech recognition model by OpenAI, performs tasks like language identification, speech translation, and multilingual speech recognition.


OpenAI’s Embeddings provide numeric representations of linguistic elementsa like words and phrases, capturing their semantic meaning and relationships.


OpenAI’s Moderation models assist in content moderation, identifying and removing harmful or inappropriate content from online platforms.

Stable Diffusion

Stable Diffusion generates detailed images from text prompts and handles tasks like inpainting, outpainting, and image-to-image translations guided by text.


Google’s Bard, powered by LaMDA, is a text-to-text generative AI chatbot adept at engaging in human-like conversations and responses.

Our Big Data Engineering Services Development Tech Stack

Cloud Computing Platforms



Google Cloud





Data Processing


Apache Kafka

Apache Spark

Data Visualization


Power BI

Data Bricks

Data Storage

Red shift

Big Query

Data Bricks




Microsoft SQL

Postgre SQL


Mongo DB

Amazon AWS

AWS Lake Formation

AWS Glue

Amazon EMR

Amazon Redshift

Amazon DynamoDB

Amazon Athena

AWS IoT Core

AWS IoT Greengrass

Amazon Kinesis Data Streams

Amazon Fraud Detector

Amazon Forecast

Amazon SageMaker

Amazon Personalize

Amazon QuickSight

Amazon Transcribe


Amazon Comprehend Medical

Amazon HealthLake

Microsoft Azure

Data Factory

Data Catalog

Event Hubs

Azure IoT Hub

Azure Data Lake Storage

Power BI

Azure Synapse Analytics

Azure Machine Learning

Azure Databricks

Cosmos DB

Azure Functions

Azure Analysis Services

Azure Stream Analytics

Azure Data Share


We have certifications that qualify our skills, knowledge and expertise

Our Engagement Models

  • Dedicated AI Development Team
    Dedicated AI Development Team

    Our proficient AI and blockchain developers are fully immersed in leveraging cognitive technologies to provide exceptional services and solutions to our clients.

  • Extended Team Enrichment
    Extended Team Enrichment

    Our extended team model is thoughtfully designed to support clients in expanding their teams with the necessary expertise for AI-driven projects.

  • Project-focused Strategy
    Project-focused Strategy

    Embracing our project-based approach, our skilled software development specialists collaborate directly with clients and the triumphant realization of AI-infused projects

Why Cloudester?

As a data engineering firm, we prioritize technological fundamentals and amplify the impact of AI to drive customer success.

Extensive Expertise

Leveraging over 12 years of experience, we excel in crafting triumphant AI solutions for you.

Diverse Skill Set

Our senior AI developers possess prowess in AI, NLP, and Big Data, ensuring comprehensive solutions.

Domain Proficiency

Your distinct challenges are understood, paving the way for tailor-made solutions that precisely fit your requirements.

Get Started Today


Contact Us

Complete our secure contact form, Book a calendar slot and set up a Meeting with our experts.


Get a Consultation

Engage in a call with our team to evaluate the feasibility of your project idea. We’ll discuss the potential, challenges, andopportunities.


Receive Cost Estimates

Based on your project requirements, we provide a detailed project proposal, including budget and timeline estimates.


Project Kickoff

Upon agreement, we assemble a cross-disciplinary team to initiate your project. Our experts collaborate to launch your project successfully.

Start a conversation by filling the form

Build your top-notch AI product using our in-depth experience. We should discuss your project.






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    Frequently Asked Questions

    What is Big data engineering?

    Data engineering involves the process of transforming unstructured data from diverse sources into a comprehensible and actionable format, enabling data scientists and other stakeholders to make informed, data-driven decisions that drive business objectives.

    What are data engineering services?

    Data engineering involves the process of transforming unstructured data from diverse sources into a comprehensible and actionable format, enabling data scientists and other stakeholders to make informed, data-driven decisions that drive business objectives.

    • Data architecture development
    • Data lakes and warehouses
    • Data pipelines
    • Data analysis, and more
    Why do companies need data engineers?

    Data engineers play a pivotal role in helping organizations gather, analyze, and transform vast amounts of data into valuable business insights.

    What benefits do data engineering services provide?
    • Big data analysis
    • Data visualization
    • Improved decision making
    • Workflow optimization
    • Task automation
    • Cost reduction
    • Improve product or service quality.


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