Nearshore Data Engineering Outsourcing

Transform Your Data into Strategic Insights with Azumo

Unlock the power of data with tailored solutions for your business. From data engineering to analytics strategy, we provide end-to-end solutions to drive your business forward.

A few of the Companies We Built AI Solutions With . . .

Satisfy Your Data Engineering and Data Science Needs with Azumo

Our data engineers are experts at designing, building, and maintaining data pipelines. They are skilled in a wide range of programming languages and tools, including Python, Java, Spark, Hadoop, and AWS.

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Data Pipeline Optimization

We build and optimize data pipelines for efficient data integration and flow.

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Data Warehousing Solutions

We design and manage scalable data warehouses.

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Data Integration and ETL Processes

Perform data handling, cleansing, extraction leverage a variety of proprietary and open sources tools.

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Big Data Solution Expertise

Architect, build, and manage large volumes of data from a broad range of data sources.

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Data Governance and Security

Ensure data quality, compliance and protection against breaches.

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Data Visualization & Advanced Analytics

Create interactive and insightful data visualizations using Power BI, Tableau and more.

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Data Monetization Strategies

Help businesses derive value and revenue from their data assets.

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Cloud Data Solutions

We implement and manage cloud based solutions from Azure, AWS, and Google for data storage and processing.

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We Have Built a Broad Team of Data Engineering and Data Analytics Specialists

We carry a large bench of data engineering talent at Azumo. We can help you modernize, visualize and maintain your critical data infrastructure.

Resources

Our Data Solution Service Models

Outsourcing Handbook

Python Development

Our AI Solutions

Data Analyst

Transforms raw data into actionable insights, helping businesses make informed decisions through reporting and analysis.

Data Engineer

Builds and optimizes data pipelines and architectures, ensuring seamless data flow and accessibility for analytics and business operations.

ML Engineer

Designs and deploys machine learning models, enabling predictive analytics and automation for complex business processes.

MLOPs Engineer

Bridges the gap between data science and IT, ensuring the efficient deployment, monitoring, and scalability of machine learning models.

Data Scientist

Leverages statistical methods and algorithms to extract insights from large datasets, driving advanced analytics and data-driven strategies.

Visualization Analyst

Designs and delivers visual representations of data, turning complex datasets into easily understandable insights for decision-makers.

Data Architect

Designs the blueprint for data management systems, ensuring scalability, security, and integration across an your technology landscape.

AI/ML Engineer

Builds AI systems into business processes, leveraging ML and AI to enhance decision-making and operational efficiency.

Our Data Engineering Frameworks And Technologies Expertise

We have worked with many of the most popular tools, frameworks and technologies for building, integrating, managing and visualizing data solutions. Check out our work in Machine Learning and AI -->

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Amazon Redshift is a fully managed data warehousing service that enables users to analyze large datasets using SQL and BI tools, providing fast query performance and scalability.

AWS Redshift Developer

Apache Airflow is an open-source platform used to programmatically author, schedule, and monitor workflows, facilitating the automation of complex data pipelines.

Airflow Developer

Chart.js is a JavaScript library for creating customizable charts and graphs on web pages, widely used for data visualization in web development projects.

Chartjs Developer

Databricks is a unified analytics platform built on Apache Spark, enabling data engineering, data science, and machine learning teams to collaborate and derive insights from big data.

Databricks Developer

Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design, enabling developers to build web applications with minimal effort and maximum efficiency.

Django Developer

Elastic is the company behind Elasticsearch, a distributed, RESTful search and analytics engine used for full-text search, log analysis, and real-time analytics, supporting a variety of use cases.

Elastic Developer

Go (Golang) is an open-source programming language developed by Google, known for its simplicity, efficiency, and concurrency support, making it ideal for building scalable and reliable software.

Golang Developer

Haystack Developer

Incorta is a unified data analytics platform that enables organizations to aggregate complex business data in real-time, providing instant insights and analytics without the need for data modeling or ETL.

INCORTA Developer

MongoDB is a popular NoSQL database that provides flexible document-based data storage, enabling developers to build scalable and high-performance applications with dynamic schemas.

MongoDB Developer

Python is a versatile, high-level programming language known for its simplicity, readability, and extensive standard library, widely used for web development, data analysis, machine learning, and more.

Python Developer

Redis is an open-source, in-memory data structure store used as a database, cache, and message broker, providing high performance, replication, and support for various data types and data structures.

Redis Developer

Sisense is a business intelligence software platform that provides tools for preparing, analyzing, and visualizing complex data, enabling organizations to gain insights and make data-driven decisions.

Sisense Developer

Snowflake is a cloud-based data warehousing platform designed for the performance, concurrency, and simplicity of modern data workloads, providing scalable storage and compute resources in the cloud.

Snowflake Developer

Apache Spark is a unified analytics engine for big data processing, providing in-memory computation, fault tolerance, and support for various data sources and analytics workflows at scale.

Spark Developer

Streamlit is an open-source app framework for machine learning and data science projects, enabling developers to build interactive web apps with simple Python scripts, without needing web development skills.

Streamlit Developer

Tableau is a powerful data visualization and analytics platform that enables users to create interactive and shareable dashboards, reports, and visualizations from various data sources and formats.

Tableau Developer

Unsure of where to begin. Try Our Proven Process to Drive Data Adoption and Data Driven Culture

Empower your organization with flexible, customizable data solutions that scale with your growth and can be tailored to meet the needs of individual data analysts, executives, and business teams

Step

The number one icon for our proven process for our data engineering consulting services

We understand your challenges and goals

We start by conducting an assessment of the your current data infrastructure and business needs. This ensures we our aligned with your objectives.

Craft solutions that fit your business

Based on our assessment we create a tailored plan to address your specific data requirements, providing a roadmap for adopting and improving your data driven approach

Step

The number two icon for our proven process for our data engineering consulting services

Step

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We provide seamless execution and ongoing support

Our team works closely with yours to implement the solution, offering hands on support and guidance

Mastering Growth through Strategic Data Governance

Transform your business with actionable data insights backed by a durable data platform built by Azumo

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Accelerating Growth through Targeted Strategies

Discover how to leverage smart tactics to boost business growth.

Key Metrics for Rapid Growth

Identify and track the KPIs that matter most, ensuring your growth actions are on target and delivering results.

Optimizing Hacks Through Data Analysis

Analyze performance data to iterate fast, refine your strategies, and uncover the next big growth opportunities.

Scaling with Data-Driven Adjustments

Use real-time data to tweak, scale, and automate growth strategies for sustained long-term success.

Case Study

Highlighting Our Data Engineering Expertise:

Explore how our customized outsourced data engineering and data analytics solutions can transform your business. From solving key challenges to driving measurable improvements, see our results.

Sparks & Honey

Divining Cultural Trends with AI

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Custom Software Development Case Studies

Why Customers Choose Azumo for Nearshore Software Outsourcing

Generative AI Enterprise Search

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AI-Powered Skill for Alexa and Google Home

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Creating Exclusive Event Experiences

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Leaders Trust Our AI Development

We invest in our nearshore software engineers and it shows.

See our work

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We selected Azumo partly because of the time zone similarity. That proved to be a boon. Via Teams, our firm and Azumo were in near constant communication. Azumo has always been responsive and able to move quickly within their organization when they needed to adjust skill sets.

Franklin Park

Narayan Chowdhury

Managing Director

We’ve been working with Azumo since our founding. Their team has been great to work with. We built out a massive AI based data platform with their help. They can handle just about anything.

Stovell AI Systems

Jim Stovell

Founder, CEO

Azumo came in with a dedicated team that quickly grasped our problem and designed and built our data integration solution. They delivered a clearer picture for our business in a timeframe I didn’t think was possible.