Data Engineering Services for Businesses

Businesses require robust and scalable systems to manage, process, and utilize data effectively. Our data engineering services & solutions are designed to help organizations transform raw data into structured, actionable insights that drive intelligent decision-making and innovation. 

By leveraging technologies like Apache Kafka, Apache Spark, AWS Glue, Snowflake, and Google BigQuery, we build robust data engineering solutions tailored to your business goals.

We offer end-to-end data engineering consultancy, covering data pipeline development, real-time processing, cloud integration, ETL optimization, and secure governance.

Book a call with us to map your strategy

Trusted by Leading Businesses Worldwide

Areas of Expertise

Data Pipeline Development

We use Apache Kafka, Apache Spark, and AWS Glue to build automatic pipelines that allow different platforms to integrate seamlessly.

Data Warehousing Solutions

We provide personalized data engineering solutions, using Amazon Redshift, Google BigQuery, and Snowflake for scalable warehousing to organize your data.

Big Data Management

With Hadoop, Spark, and Kafka, our team helps businesses deal with massive amounts of data and use their information to gain insights.

Cloud Data Engineering

Techling implements data engineering with AWS, Azure, and GCP by using tools such as Snowflake, Databricks, and BigQuery to achieve high performance and scalability.

ETL Optimization

We improve ETL processes with Apache NiFi, Talend, and Informatica PowerCenter to ensure data accuracy, speed, and efficiency.

Data Governance & Security

Using Collibra, Informatica, and AWS Lake Formation, we design solid data governance and security practices to fulfill compliance and security requirements. We provide data science engineering services and data engineering as a service that handles all aspects of securing and governing data.

Right-Side Vertical Tabs
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Why Choose Techling for Data Engineering Services?

Techling works closely with businesses to maximize their data through practical data engineering. As a data engineering company today, we have the skills, innovations, and knowledge to scale our services to different industries.

With our team’s support, businesses can improve operations, gather insights, and experience transformation.

  • Help in building systems from data gathering to controlling governance
  • Custom data engineering services that match what your business needs
  • A tried and trusted methodology to drive growth in data engineering services and solutions
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Big Data Engineering Services for Large-Scale Data Processing

We provide big data engineering services for managing, processing, and understanding immense data sets. Techling leverages Hadoop, Spark, and Kafka to help ensure that data processing is performed quickly, adaptably, and reliably. We also help organizations navigate complex data ecosystems with ease.

  • Systems in place to handle high-volume tasks.
  • Handling real-time and batch inputs via the current infrastructure
  • Support from a top provider of data engineering services
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Data Engineering Solutions for Business Operations

Techling’s data engineering makes your business more efficient by providing clean, smooth data that’s easy to use. We develop innovative structures used by marketing, finance, and logistics to support data-based decisions. We ensure less downtime and more automation in your work processes.

  • Built specifically to support improved daily work processes
  • The linking of various systems into one data platform
  • Trusted in the industry for data engineering
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How Data Engineering Consultants Help with Data Management

Our data engineering consultants provide advice and solutions for better data quality, easy access, and proper governance.

Working with Techling’s data engineering consultancy, businesses learn essential details about their data development and architecture. We help clarify and organize even the most complex data systems from the beginning.

  • Guidance from certified data engineering consultants
  • Using auditing and restructuring tools with existing data workflows
  • Strong in helping companies achieve sustainable data engineering results
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Choosing a Data Engineering Services Company

The success of your startup depends a lot on who you partner with. By applying what our professionals have learned over the years, Techling delivers trustworthy, secure, and scalable solutions. We plan your long-term data strategy and back it up with trusted support services.

  • Working transparently and having one dedicated project manager
  • Expertise in data engineering service from a reputed company
  • Following the best practices for every solution.
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Data Engineering as a Service: How It Works

With Techling’s model, businesses are never far from expert help when needed. Our flexible engineering model allows you to get the required services without extra costs. We run infrastructure, processes, and platforms so you can concentrate on business.

  • Access to experts when you need it
  • Support for expanding data size while being cost-efficient
  • Experienced in providing data engineer consulting services
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Cloud Data Warehouse Engineering Services for Scalability

Businesses can grow their storage and processing capabilities with us without much effort. By using Techling, you can safely link Snowflake, BigQuery, or Redshift, improve their performance, and monitor operations closely. Let our team ensure that your data architecture keeps up with new developments.

  • Custom solutions built for flexibility and speed on the cloud
  • Expert data engineering services that ensure seamless delivery
  • Developed to be scalable and run by professionals in data analytics engineering services
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Why Choose Techling for Data Engineering Services?

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Big Data Engineering Services for Large-Scale Data Processing

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Data Engineering Solutions for Business Operations

4

How Data Engineering Consultants Help with Data Management

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Choosing a Data Engineering Services Company

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Data Engineering as a Service: How It Works

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Cloud Data Warehouse Engineering Services for Scalability

Why Choose Techling for Data Engineering Services?

Techling works closely with businesses to maximize their data through practical data engineering. As a data engineering company today, we have the skills, innovations, and knowledge to scale our services to different industries.

With our team’s support, businesses can improve operations, gather insights, and experience transformation.

Big Data Engineering Services for Large-Scale Data Processing

We provide big data engineering services for managing, processing, and understanding immense data sets. Techling leverages Hadoop, Spark, and Kafka to help ensure that data processing is performed quickly, adaptably, and reliably. We also help organizations navigate complex data ecosystems with ease.

Data Engineering Solutions for Business Operations

Techling’s data engineering makes your business more efficient by providing clean, smooth data that’s easy to use. We develop innovative structures used by marketing, finance, and logistics to support data-based decisions. We ensure less downtime and more automation in your work processes.

Data Analytics Solutions for Business Operations

Marketing, logistics, and every department in between can benefit from bespoke data analytics solutions. These services facilitate the organization’s process, optimize supply chains, and track KPIs efficiently.

 Continuous improvement, smart automation by data analytic services expose hidden inefficiencies and provide ways to better performance. From customer churn analysis to inventory management, Techling’s data analytics service offerings are aimed to beat the heartbeat of business operations.

Data and Analytics Services for Different Industries

The demands of various industries are unique and data and analytical services customize insights accordingly. Data analytics services in retail could point to buying behavior. In manufacturing, they assist in monitoring equipment performance. 

For finance, it provides fraud detection and investment analysis. Techling’s analytics services are industry-conscious, which means it is in relation to reality. Our data analytics services and solutions are not only modifiable but also scalable for all types of industries including healthcare, e-commerce, and education.

Choosing a Data Analytics Services Company

Choosing the appropriate data analytics services company can make or destroy the success of your data strategy. Search for a partner that has experience, flexible pricing models, and intimate industry understanding. 

Techling promises all this and more, placing themselves as one of the top-notch data analytics service providers. Our team offers outstanding services in transforming raw data into tangible assets using viable data analytical services making your organization insightful for better decision making.

How Data Analyst Services Improve Business Performance

Data analyst services create clarity in business processes. They assist organizations to measure what matters most as they work on meaningful reports and KPIs. From customer engagement KPIs to operational bottlenecks, data analysis services provide root causes and improve opportunities.

 Building on top of such insights, the companies are able to enhance performance in all departments, increase profitability, and remain forward-thinking. Using Techling’s data-first methodology, your data analytics services investment delivers quantifiable business influence.

Our Process

Step 1

Reach Out

Got an idea? Tell us about it.

Step 2

Let’s Brainstorm

The next step is to hop on the phone and discuss the options.

Step 3

Custom Pricing

Once you’ve defined your business, you’ll know precisely what resources you need.

Step 4

Build Together

We will build, enhance, and launch our project as a team.

Technologies we Use

Custom Tabs

Back End Languages

Node.js: Allows for fast and scalable backend development using the V8 engine.

Python: Good for making APIs, doing tasks automatically, and working with AI.

Java: Secure, fast, enterprise-grade.

PHP: Used to power the backends of applications with a lot of content management system usage.

.NET(C#): Microsoft-backed enterprise performance.

Ruby: Rapid prototyping is possible due to the Rails framework.

Front End Languages

HTML5: Structure of modern web pages.

CSS3: Styling, animations, and responsive design.

JavaScript: Interactivity and dynamic UI.

TypeScript:Scalable JavaScript with type safety.

Cloud Platforms

Amazon Web Services (AWS): Scalable and secure enterprise cloud.

Microsoft Azure: Seamless Microsoft integration.

Google Cloud Platform (GCP): Ideal for AI and big data.

DigitalOcean: Simple and fast cloud deployments.

Architectures

Microservices – Scalable, independent components.

Monolithic – System built using a single codebase, free from any divisions.

Serverless – Auto-scaling, event-driven computer.

Event-Driven – Automatic, quick responses in real life.

Build Tools

Webpack: Tool for bundling assets and code.

Gulp: Automates frontend workflows.

Babel: Transforms JavaScript code to make it compatible for different environments.

Grunt: Task runner for repetitive jobs.

AI & Data Science

TensorFlow: End-to-end ML framework.

PyTorch: Flexible deep learning.

Pandas: It’s used for data wrangling and analysis.

Scikit-learn: Easy ML algorithms.

OpenCV: Computer vision toolkit.

Visualization Libraries

D3.js: Interactive data visualizations.

Chart.js: Lightweight charting.

Highcharts:Enterprise-grade charts.

Tableau (Integration): Fast, easy BI visualization using drag and drop.

Databases

PostgreSQL: Robust, open-source SQL.

MySQL: Reliable relational database.

Redis: A An in-memory store for faster access.

Firebase: A real-time backend solution for web and mobile applications.

Mobile Frameworks

Flutter: Cross-platform native apps.

React Native: Using JavaScript to create mobile apps.

Swift: Native iOS development.

Kotlin: Modern Android language.

Development Tools

Visual Studio Code: Lightweight yet powerful IDE.

GitHub / GitLab / Bitbucket: Code management & CI/CD.

Docker: App containerization.

Jenkins / GitHub Actions: CI/CD automation.

Postman: API testing and design.

Figma / Adobe XD: UI/UX design and prototyping.

Technologies We Use

Back End Languages

Node.js

Python

Java

PHP

.NET(C#)

Ruby

Back End Languages

Node.js: Allows for fast and scalable backend development using the V8 engine.

Python: Good for making APIs, doing tasks automatically, and working with AI.

Java: Secure, fast, enterprise-grade.

PHP: Used to power the backends of applications with a lot of content management system usage.

.NET(C#): Microsoft-backed enterprise performance.

Ruby: Rapid prototyping is possible due to the Rails framework.

dotnet

Front End Languages

HTML5

CSS3

JavaScript

TypeScript

Front End Languages

HTML5: Structure of modern web pages.

CSS3: Styling, animations, and responsive design.

JavaScript: Interactivity and dynamic UI.

TypeScript:Scalable JavaScript with type safety.

file_type_typescript_official

Cloud Platforms

AWS

Microsoft Azure

Google Cloud Platform

DigitalOcean

Cloud Platforms

Amazon Web Services (AWS): Scalable and secure enterprise cloud.

Microsoft Azure: Seamless Microsoft integration.

Google Cloud Platform (GCP): Ideal for AI and big data.

DigitalOcean: Simple and fast cloud deployments.

Architectures

Microservices

Monolithic

Serverless

Event-Driven

Architectures

Microservices – Scalable, independent components.

Monolithic – System built using a single codebase, free from any divisions.

Serverless – Auto-scaling, event-driven computer.

Event-Driven – Automatic, quick responses in real life.

Icon_24px_CloudCode_Color

Build Tools

Webpack

Gulp

Babel

Grunt

Build Tools

Webpack: Tool for bundling assets and code.

Gulp: Automates frontend workflows.

Babel: Transforms JavaScript code to make it compatible for different environments.

Grunt: Task runner for repetitive jobs.

file_type_webpack
file_type_grunt

AI & Data Science

TensorFlow

PyTorch

Pandas

Scikit-learn

OpenCV

AI & Data Science

TensorFlow: End-to-end ML framework.

PyTorch: Flexible deep learning.

Pandas: It’s used for data wrangling and analysis.

Scikit-learn: Easy ML algorithms.

OpenCV: Computer vision toolkit.

pandas
file_type_light_mlang

Visualization Libraries

D3.js

Chart.js

Highcharts

Tableau (Integration)

Visualization Libraries

D3.js: Interactive data visualizations.

Chart.js: Lightweight charting.

Highcharts:Enterprise-grade charts.

Tableau (Integration): Fast, easy BI visualization using drag and drop.

Databases

PostgreSQL

MySQL

MongoDB

Redis

Firebase

Databases

PostgreSQL: Robust, open-source SQL.

MySQL: Reliable relational database.

Redis: A An in-memory store for faster access.

Firebase: A real-time backend solution for web and mobile applications.

databases-and-servers/databases/redisCreated with Sketch.
file_type_firebase

Mobile Frameworks

Flutter

React Native

Swift

Kotlin

Firebase

Mobile Frameworks

Flutter: Cross-platform native apps.

React Native: Using JavaScript to create mobile apps.

Swift: Native iOS development.

Kotlin: Modern Android language.

file_type_flutter
react

Development Tools

Visual Studio Code

GitHub / GitLab / Bitbucket

Docker

Jenkins / GitHub Actions

Postman

Figma / Adobe XD

Development Tools

Visual Studio Code: Lightweight yet powerful IDE.

GitHub / GitLab / Bitbucket: Code management & CI/CD.

Docker: App containerization.

Jenkins / GitHub Actions: CI/CD automation.

Postman: API testing and design.

Figma / Adobe XD: UI/UX design and prototyping.

github [#142]Created with Sketch.

Success Stories in Spotlight

SafeStart, a leading healthcare technology company, works diligently to leverage technology to enhance patient safety. Considering the healthcare systems that still lack improvement, SafeStart aimed to improve the system for how healthcare professionals access, communicate, and make decisions using essential patient data. They chose to work with Techling to combine...

60% Faster Patient Record Access

40% Reduction in Safety Checklist Approval Time

Core Tech: iOS, MongoDB, Express.js, Angular, Node.js, APIs, HIPAA-compliant
As an essential member of the Pure Health Group, Pure Lab attempted to refine its testing strategy by integrating its laboratory information system (LIS), Pure CS, with its laboratories. Ensuring that all routine data transfers between hospital departments were reliable and efficient was the primary objective....

30% Faster Data Processing

0% Operational Downtime

Core Tech: Custom API, Data Mapping Tools, AWS, Python, FastAPI,

Top-Rated Data Engineering Company

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Our Engagement Models

Staff Augmentation

Scale your tech team with expert IT professionals and developers through our staff augmentation model, delivering the right skills to accelerate your project’s success.

Dedicated Teams

Build a team of passionate experts who focus solely on your project, providing personalized solutions that align with your business goals and drive results.

Digital Transformation

Empower your business with innovative digital solutions that streamline processes, boost efficiency, and position your business for long-term success.

Awards & Recognition

We are proud of the recognition we have received, reflecting our industry leading practices and expertise.

Client Testimonials

Ready to transform your business?

FAQ's

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To do so, data engineering services create, maintain, and run systems that gather, store, and use data for reporting purposes.
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They allow businesses to make better decisions by delivering accurate and accessible data promptly.
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Data engineering powers analytics, automation, and insights in finance, healthcare, retail, manufacturing, logistics, and tech.
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Techling’s tailored systems, able engineers, and flexibility make it easy to transform data into critical information.
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They check data requirements, develop the infrastructure, suggest tools, and support implementing it.
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They apply rules for data validation, clean it using pipelines, oversee it with monitoring software, and audit it regularly, all to ensure it remains accurate and clean.
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While data engineers work on processing data, data scientists use that information to create models and get insights.
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It requires you to configure and use popular cloud databases (such as Snowflake or BigQuery) to store and process many data records quickly.
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Check for experience in delivery, updated expertise, solid data control approaches, and clients’ testimonials.
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Contact Techling to schedule a consultation, outline your needs, and get a personalized data strategy and plan.

Get Started with Techling’s Data Engineering Services

Move into a future-proof business model with Techling’s cutting-edge Data Engineering solutions. Whatever the size of your company, we have scalable and dependable solutions to take your business to the next level. Join a results-focused Data Engineering Services Company that believes in innovation and functionality.

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